{"meta":{"query_hash":"5207c26fdfe6","filters":{"topic":"Genetics and Plant Breeding"},"cohort_total":385,"direct_labels_cover":0,"predictions_cover":385,"exported":385,"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/5207c26fdfe6","api":"https://metacan.xera.ac/api/v1/cohort?topic=Genetics+and+Plant+Breeding"},"results":[{"id":"W149921824","doi":"10.1002/j.1435-0653.2000.tb21498.x","title":"Registration of ‘AC Longview’ Alfalfa","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge","funders":"","keywords":"Library science; Citation; Agricultural science; Political science; Geography; Mathematics; Computer science; Biology","score_opus":0.030747538068513748,"score_gpt":0.21696114888754434,"score_spread":0.1862136108190306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W149921824","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25390354,0.0012239583,0.012332175,0.004053404,0.010560317,0.0038074667,0.09430154,0.006364065,0.61345357],"genre_scores_gemma":[0.15228495,0.00041859897,0.010131555,0.0012805837,0.00074107136,0.0015033496,0.13777745,0.0009172771,0.69494516],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906605,0.00015882232,0.00007321496,0.00020968688,0.00025234374,0.00023988617],"domain_scores_gemma":[0.9962048,0.0002034202,0.0002944462,0.0011551415,0.0014320175,0.0007102599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001769705,0.00053378165,0.0003793303,0.0020038148,0.0014474535,0.0011294541,0.00096732733,0.00097263005,0.062779866],"category_scores_gemma":[0.0016890633,0.00022675672,0.00042200813,0.0008803538,0.0003525073,0.0005185896,0.0007400626,0.0008592829,0.035729803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0063198176,0.00057889,0.012096451,0.0005181647,0.000049010003,0.0014482798,0.0007625594,0.0005044317,0.118743815,0.009349982,0.6197857,0.2298429],"study_design_scores_gemma":[0.00006036827,0.00036292776,0.01572937,0.000017965156,0.00000968064,0.00016357157,0.00014758334,0.00017200205,0.005267405,0.00019651982,0.9778537,0.000018882469],"about_ca_topic_score_codex":0.024671664,"about_ca_topic_score_gemma":0.036920212,"teacher_disagreement_score":0.062779866,"about_ca_system_score_codex":0.0017459582,"about_ca_system_score_gemma":0.002724441,"threshold_uncertainty_score":0.21001959},"labels":[],"label_agreement":null},{"id":"W1535733570","doi":"10.1002/9781118354100.ch2","title":"Breeding for Ideal Milling Oat: Challenges and Strategies","year":2013,"lang":"en","type":"other","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Ideal (ethics); Business; Biotechnology; Agricultural engineering; Agricultural science; Biology; Engineering; Political science","score_opus":0.06679368240528881,"score_gpt":0.2177448690154199,"score_spread":0.15095118661013107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535733570","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36914828,0.076819345,0.38500816,0.08683727,0.0011724584,0.0010073744,0.0010475426,0.0017387503,0.07722082],"genre_scores_gemma":[0.45188847,0.045156743,0.46115756,0.013432844,0.0006034023,0.0007913233,0.0014207027,0.0004977049,0.02505126],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808645,0.0005401053,0.00017005924,0.00038202692,0.00068306347,0.00013833419],"domain_scores_gemma":[0.9973787,0.0011024666,0.00032393375,0.00021574195,0.00052427896,0.00045495247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010021056,0.00061915815,0.0010791529,0.00078093394,0.00078670535,0.00362918,0.0018740678,0.0011028365,0.0031229507],"category_scores_gemma":[0.0042804414,0.00027176386,0.00029653442,0.00076821755,0.0014946345,0.0022088028,0.0022765333,0.0020565053,0.0012280529],"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":[0.00055364694,0.0005564047,0.019898085,0.001288088,0.00012929403,0.0012375425,0.0019040792,0.008318231,0.101841055,0.0843773,0.014847296,0.765049],"study_design_scores_gemma":[0.00027387135,0.0031530624,0.037058618,0.0016545989,0.00032028605,0.0042380723,0.008461465,0.030198302,0.050607953,0.15705734,0.70668405,0.00029231823],"about_ca_topic_score_codex":0.0013594435,"about_ca_topic_score_gemma":0.0029986994,"teacher_disagreement_score":0.010021056,"about_ca_system_score_codex":0.0011408639,"about_ca_system_score_gemma":0.0021860132,"threshold_uncertainty_score":0.052997053},"labels":[],"label_agreement":null},{"id":"W1563497174","doi":"10.1002/9780470228333.ch3","title":"Effects of Genotype, Environment and Genotype × Environment Interaction on the Antioxidant Properties of Wheat","year":2007,"lang":"en","type":"other","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Genotype; Gene–environment interaction; Biology; Antioxidant; Genetics; Gene; Biochemistry","score_opus":0.01948997551119904,"score_gpt":0.17053959627431103,"score_spread":0.15104962076311199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563497174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827923,0.008548208,0.0017554174,0.0002124443,0.00005982132,0.000020140762,0.0012946246,0.000071048045,0.0052458816],"genre_scores_gemma":[0.9693857,0.01023575,0.0029226309,0.00035017612,0.000057963643,0.000027921149,0.001656388,0.00010150463,0.015261845],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998479,0.00005880212,0.000012971997,0.0000359612,0.000028573839,0.000015773428],"domain_scores_gemma":[0.9996586,0.0002147333,0.000041907817,0.000027817494,0.00002510871,0.00003182856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032025063,0.00037177705,0.0003887502,0.00022214952,0.00016072825,0.0003774977,0.00015715684,0.0001861963,0.0029888095],"category_scores_gemma":[0.00030775918,0.00017646156,0.00029538432,0.0004141165,0.00014222028,0.00021525378,0.00028176155,0.00031678553,0.00033182293],"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":[0.004366687,0.0002647868,0.030870479,0.00080562296,0.0005590987,0.00033188827,0.00042424872,0.001590945,0.8705336,0.0008870384,0.0014453919,0.08792024],"study_design_scores_gemma":[0.00007105789,0.0019881327,0.7504216,0.000092439426,0.0008790489,0.00038601225,0.00023340195,0.0014995253,0.23243111,0.0018642256,0.010074939,0.000058542617],"about_ca_topic_score_codex":0.0011586965,"about_ca_topic_score_gemma":0.0035411806,"teacher_disagreement_score":0.0029888095,"about_ca_system_score_codex":0.00019801571,"about_ca_system_score_gemma":0.00015018485,"threshold_uncertainty_score":0.00999856},"labels":[],"label_agreement":null},{"id":"W1573811902","doi":"10.15835/nsb529067","title":"GGE Biplot Analysis of Yield Stability in Multi-environment Trials of Lentil Genotypes under Rainfed Condition","year":2013,"lang":"en","type":"article","venue":"Notulae Scientia Biologicae","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Biplot; Grain yield; Randomized block design; Yield (engineering); Genotype; Mathematics; Principal component analysis; Gene–environment interaction; Stability (learning theory); Main effect; Agronomy; Biotechnology; Statistics; Biology; Computer science; Genetics","score_opus":0.18707929547430063,"score_gpt":0.2738182481320075,"score_spread":0.08673895265770687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573811902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785567,0.00010531942,0.019616734,0.000021653432,0.000018500437,0.000059492366,0.0007348541,0.00026440003,0.0006222036],"genre_scores_gemma":[0.9785019,0.000043817934,0.019293401,0.000019876301,0.0000056883323,0.00016688649,0.0012757207,0.000117842574,0.00057482516],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980604,0.0010311459,0.0001050097,0.00030923108,0.00038156257,0.00011255951],"domain_scores_gemma":[0.99809915,0.00088454335,0.0003020357,0.00021929934,0.00036780798,0.00012725039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021905808,0.00045232038,0.0006315055,0.0014384318,0.00026289996,0.00059059245,0.0002607288,0.00015216094,0.0010846391],"category_scores_gemma":[0.0023839127,0.00011087159,0.00055451534,0.0013707542,0.00027035104,0.0002907141,0.00028107225,0.0004594077,0.00017963962],"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":[0.009029049,0.0016261234,0.22783029,0.00045635275,0.001167921,0.00060279167,0.0016896579,0.013277255,0.4936391,0.001870032,0.0020867055,0.2467247],"study_design_scores_gemma":[0.000050677296,0.0016590256,0.95902663,0.000012807668,0.00007817976,0.00016335977,0.00022576112,0.022047369,0.014563841,0.00037847375,0.0017402696,0.00005353202],"about_ca_topic_score_codex":0.0022043525,"about_ca_topic_score_gemma":0.002520579,"teacher_disagreement_score":0.0022043525,"about_ca_system_score_codex":0.00038396672,"about_ca_system_score_gemma":0.00034119288,"threshold_uncertainty_score":0.011584997},"labels":[],"label_agreement":null},{"id":"W1584079741","doi":"10.1139/g10-080","title":"Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysisThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.","year":2010,"lang":"en","type":"article","venue":"Genome","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":120,"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":"Grains Research and Development Corporation","keywords":"Biplot; Gene–environment interaction; Variety (cybernetics); Selection (genetic algorithm); Context (archaeology); Biology; Machine learning; Computer science; Data science; Data mining; Biotechnology; Artificial intelligence; Genetics; Genotype","score_opus":0.06936683526738446,"score_gpt":0.22296096871297522,"score_spread":0.15359413344559075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584079741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9555702,0.0009277412,0.03362433,0.00008457746,0.000044111326,0.00020663139,0.0073174206,0.00041875735,0.0018061614],"genre_scores_gemma":[0.9551808,0.00037152017,0.029346997,0.00009892755,0.000021517026,0.00038536,0.0116414,0.00016159222,0.0027919302],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998524,0.000704672,0.0000898737,0.0002587549,0.000354353,0.00006839487],"domain_scores_gemma":[0.9919768,0.0051712994,0.0010208065,0.0009349099,0.0006499158,0.00024629256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032085765,0.0006058603,0.00062394224,0.0018733658,0.00039294464,0.00048207253,0.0003817167,0.00037634987,0.0016241882],"category_scores_gemma":[0.006278735,0.00014920993,0.00087625964,0.001966461,0.0003408663,0.0003123748,0.00041184438,0.0006402075,0.0003822872],"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":[0.005398308,0.0015957247,0.22900255,0.0008852422,0.0026823822,0.00092612236,0.0010562709,0.0250305,0.4796326,0.0020681715,0.0036435574,0.24807858],"study_design_scores_gemma":[0.00010431784,0.0033711053,0.89219457,0.000023046825,0.00046759302,0.00057491043,0.00030368444,0.016976587,0.07721111,0.0016740336,0.0069522453,0.00014680802],"about_ca_topic_score_codex":0.002725965,"about_ca_topic_score_gemma":0.0040731523,"teacher_disagreement_score":0.0032085765,"about_ca_system_score_codex":0.0004965426,"about_ca_system_score_gemma":0.00026000044,"threshold_uncertainty_score":0.016968787},"labels":[],"label_agreement":null},{"id":"W1702264007","doi":"10.4141/cjps2013-1681","title":"Real differences – A lesson from an agronomist's perspective","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Canola; Yield (engineering); Variance (accounting); Perspective (graphical); Residual; Econometrics; Statistics; Affect (linguistics); Mathematics; Economics; Agronomy; Psychology; Biology","score_opus":0.030603950734854373,"score_gpt":0.20041082275768118,"score_spread":0.16980687202282682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1702264007","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071733356,0.2166561,0.13346493,0.6009539,0.019600498,0.0001276132,0.00029442078,0.0005657846,0.021163432],"genre_scores_gemma":[0.31856573,0.154859,0.21517624,0.2640705,0.03213746,0.0007074141,0.00028542266,0.0009557659,0.0132424105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9803642,0.01180511,0.001132715,0.0024544902,0.0039134924,0.00033001727],"domain_scores_gemma":[0.90402055,0.08012279,0.0017005182,0.0065361327,0.0058875345,0.0017325057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.054678462,0.0016184665,0.0037406303,0.0024286117,0.0019220859,0.0052751126,0.0063451207,0.007060766,0.0041402923],"category_scores_gemma":[0.051738616,0.0010317026,0.0020688225,0.001352385,0.03283688,0.019830352,0.0044996077,0.029291505,0.0013242017],"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":[0.0005518024,0.00068387255,0.006484057,0.00440006,0.0011572927,0.001373463,0.00845318,0.004877264,0.0041612354,0.5222182,0.1329207,0.3127188],"study_design_scores_gemma":[0.00010513458,0.00031686403,0.0019878726,0.00075438904,0.00009451223,0.00058988744,0.0020746985,0.0015911217,0.00069543254,0.82566285,0.16599837,0.00012891312],"about_ca_topic_score_codex":0.005747761,"about_ca_topic_score_gemma":0.006567189,"teacher_disagreement_score":0.054678462,"about_ca_system_score_codex":0.0034775648,"about_ca_system_score_gemma":0.003994108,"threshold_uncertainty_score":0.28917074},"labels":[],"label_agreement":null},{"id":"W1720806390","doi":"10.4141/cjps2010-046","title":"Use of GGE biplot methodology for genetic analysis of yield and related traits in melon (<i>Cucumis melo</i>L.)","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":15,"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":"Biplot; Melon; Cucumis; Diallel cross; Biology; Yield (engineering); Cultivar; Agronomy; Horticulture; Hybrid; Genotype","score_opus":0.16001988201984688,"score_gpt":0.2528148323917074,"score_spread":0.0927949503718605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1720806390","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":[0.33836073,0.00069956324,0.62707347,0.00025435217,0.00045201558,0.001116739,0.016811231,0.011361217,0.0038708064],"genre_scores_gemma":[0.27234066,0.00024964244,0.7070688,0.000110057365,0.00003467233,0.0045303907,0.010265135,0.0020853763,0.0033152],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99599236,0.0019496462,0.00028876774,0.00096010533,0.000625867,0.00018328028],"domain_scores_gemma":[0.9958164,0.0022551487,0.0005190036,0.00056153006,0.00070530863,0.0001426755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00432706,0.0017838803,0.0017456749,0.0036408391,0.0007904966,0.0011115967,0.0007430706,0.0003700723,0.006985834],"category_scores_gemma":[0.0052892906,0.0005711107,0.0015365565,0.0037638345,0.00042985482,0.0006056663,0.0007356075,0.0023117408,0.0015628842],"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":[0.0039645988,0.0024648563,0.040202077,0.002025085,0.0017087478,0.0007411569,0.0027560678,0.008015789,0.4772775,0.0044894,0.015611603,0.4407432],"study_design_scores_gemma":[0.00037283733,0.0044954075,0.70844674,0.00022575445,0.00063277106,0.0010942435,0.0011330838,0.11690465,0.11080462,0.0044940785,0.050849237,0.0005466289],"about_ca_topic_score_codex":0.0029153258,"about_ca_topic_score_gemma":0.0038483853,"teacher_disagreement_score":0.006985834,"about_ca_system_score_codex":0.00064365065,"about_ca_system_score_gemma":0.00080658303,"threshold_uncertainty_score":0.023369968},"labels":[],"label_agreement":null},{"id":"W172281723","doi":"10.1007/978-94-017-3674-9_90","title":"Accelerated Breeding: Dream or Reality?","year":2001,"lang":"en","type":"book-chapter","venue":"Developments in plant breeding","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"","keywords":"Selection (genetic algorithm); Perspective (graphical); Biology; Abiotic component; Biochemical engineering; Biotechnology; Computer science; Engineering; Artificial intelligence; Ecology","score_opus":0.14036130017521442,"score_gpt":0.24974375510797278,"score_spread":0.10938245493275836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W172281723","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":[0.008170494,0.55393684,0.02550435,0.21033481,0.029616067,0.0000436961,0.00012784074,0.00046968687,0.17179616],"genre_scores_gemma":[0.12880051,0.5390789,0.058828793,0.069990516,0.035720974,0.00022525026,0.00036306967,0.0005036096,0.16648833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99910396,0.00043388267,0.000034023604,0.000108029286,0.0002197082,0.000100289355],"domain_scores_gemma":[0.9974952,0.001292067,0.0001413355,0.00029801973,0.0003290897,0.00044429206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004577198,0.00073871575,0.0007899796,0.00047808254,0.0006277152,0.0028055632,0.0016034708,0.0027989699,0.009774983],"category_scores_gemma":[0.0045160824,0.0003127279,0.0003826795,0.00073618366,0.0035283559,0.006803883,0.0015684225,0.007262764,0.0025210704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013298627,0.00013415642,0.0005474801,0.00065525906,0.000028328703,0.00015109713,0.00083070976,0.00052676006,0.00084221223,0.4250506,0.22294149,0.34815896],"study_design_scores_gemma":[0.000032428594,0.00012391925,0.0008360622,0.00048260714,0.000017608134,0.0005325049,0.00023425044,0.00025999433,0.00019988808,0.08921084,0.90805435,0.000015515076],"about_ca_topic_score_codex":0.00070140295,"about_ca_topic_score_gemma":0.0012016412,"teacher_disagreement_score":0.009774983,"about_ca_system_score_codex":0.00080635556,"about_ca_system_score_gemma":0.0019950725,"threshold_uncertainty_score":0.0327006},"labels":[],"label_agreement":null},{"id":"W1747698739","doi":"10.4141/cjps2012-136","title":"Assessing the representativeness and repeatability of testing sites for drought-tolerant maize in West Africa","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":16,"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":"Representativeness heuristic; Biplot; Cultivar; Drought tolerance; Repeatability; Biology; Ranking (information retrieval); Agronomy; Genotype; Biotechnology; Geography; Statistics; Mathematics; Genetics","score_opus":0.10079667385565769,"score_gpt":0.26008778472335525,"score_spread":0.15929111086769757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1747698739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992737,0.000058712896,0.00048834557,0.0000028244342,0.0000011534003,0.000009089057,0.00008559573,0.0000046596547,0.00007589554],"genre_scores_gemma":[0.99774736,0.000039522507,0.0018894908,0.0000041895223,7.937206e-7,0.000013944113,0.00021376752,0.0000055659366,0.00008527113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882597,0.00031893607,0.000122065154,0.0003560654,0.00026254816,0.00011443024],"domain_scores_gemma":[0.9966684,0.00085490703,0.0014574941,0.00026829453,0.0005609348,0.0001900714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014317626,0.0003657741,0.00041611094,0.0010664561,0.00048069248,0.00065059174,0.00051973225,0.00034349202,0.00032169468],"category_scores_gemma":[0.0024109352,0.00027353177,0.0003290846,0.0008891002,0.0003393369,0.0003627607,0.0005647449,0.00026447678,0.00015501474],"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":[0.00087917224,0.00013617125,0.7545753,0.0001096675,0.00017824167,0.00041320283,0.00228212,0.00086186,0.21644694,0.00006071074,0.00012560868,0.023931043],"study_design_scores_gemma":[0.0000073308556,0.00031029104,0.98649395,0.000013745485,0.000047401194,0.0002585071,0.0007720151,0.0008106845,0.01083479,0.000028547742,0.0004077867,0.000014801873],"about_ca_topic_score_codex":0.004598724,"about_ca_topic_score_gemma":0.011243788,"teacher_disagreement_score":0.004598724,"about_ca_system_score_codex":0.00035150058,"about_ca_system_score_gemma":0.00015779516,"threshold_uncertainty_score":0.009143949},"labels":[],"label_agreement":null},{"id":"W1762601300","doi":"10.5539/jas.v7n9p154","title":"Selection for High Yield and Stability among Early Maturing Greengram Genotypes","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","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":"World Bank Group","keywords":"Radiata; Yield (engineering); Vigna; Biology; Selection (genetic algorithm); Genotype; Gene–environment interaction; Stability (learning theory); Biotechnology; Agronomy; Statistics; Horticulture; Mathematics; Computer science","score_opus":0.04237903178055148,"score_gpt":0.2077449300838383,"score_spread":0.1653658983032868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1762601300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99871695,0.00002846212,0.0009316436,0.000007749238,0.000002638359,0.00002290311,0.00007456482,0.000023943954,0.00019104492],"genre_scores_gemma":[0.99257666,0.00005944408,0.005415817,0.000026316164,0.000004005194,0.00003506967,0.0005405358,0.000050887076,0.0012912574],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99937856,0.00016731425,0.00006263189,0.00018379014,0.000117683245,0.00008992677],"domain_scores_gemma":[0.99918884,0.00023353628,0.00019334785,0.000090094756,0.00011008573,0.00018417192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010477,0.00042904072,0.00046095904,0.0007799828,0.00042618433,0.0004915215,0.0003396089,0.00030880023,0.0008996363],"category_scores_gemma":[0.0005637543,0.00021536482,0.0004192459,0.0005828925,0.00024720246,0.0002041829,0.0006527643,0.00046232142,0.00020993972],"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":[0.00043478084,0.00017760598,0.013285237,0.000023450684,0.00003794103,0.0002491374,0.00027458376,0.00012756635,0.9797967,0.00006437034,0.000028143424,0.0055005443],"study_design_scores_gemma":[0.000078175886,0.0048267148,0.77673984,0.000014329295,0.00020534979,0.0010649512,0.00060414773,0.0022005863,0.21145575,0.000092942646,0.00264224,0.000074914555],"about_ca_topic_score_codex":0.00095453113,"about_ca_topic_score_gemma":0.004020706,"teacher_disagreement_score":0.0010477,"about_ca_system_score_codex":0.00044088502,"about_ca_system_score_gemma":0.00028893215,"threshold_uncertainty_score":0.005540848},"labels":[],"label_agreement":null},{"id":"W1799198196","doi":"10.18539/cast.v19i1.2904","title":"Parameters of adaptability and stability in brazilian and exotic cultivars of white oat","year":2013,"lang":"en","type":"article","venue":"Current Agricultural Science and Technology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Adaptability; Cultivar; Avena; Germplasm; Biology; Agronomy; Gene pool; Hybrid; Genotype; Adaptation (eye); Biotechnology; Horticulture; Gene; Genetic diversity; Ecology; Genetics","score_opus":0.0369034863874654,"score_gpt":0.21517563431122536,"score_spread":0.17827214792375995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1799198196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994228,0.00010235897,0.00010008466,0.0000051993725,0.000001836087,0.000005512347,0.000060074195,0.0000032161824,0.00029908557],"genre_scores_gemma":[0.9988469,0.00008367696,0.00027049636,0.000014261384,0.0000020742839,0.000012358653,0.00036240698,0.0000096481335,0.00039825914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965596,0.00006747882,0.000051112667,0.000107747896,0.00006784152,0.000049846334],"domain_scores_gemma":[0.9993654,0.000113605165,0.00017876437,0.00006925306,0.00011538802,0.00015755439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004562187,0.00033859687,0.00036250975,0.00057931984,0.00030937104,0.0005189033,0.00019617534,0.00020955317,0.00046140348],"category_scores_gemma":[0.00060239143,0.00015589196,0.00039856342,0.00049173075,0.00025777455,0.00035871062,0.00038394184,0.0003885973,0.000109047796],"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":[0.0006810709,0.00011030934,0.075843215,0.00007795473,0.00008115957,0.00021074411,0.001051491,0.00023282395,0.9159177,0.00008137316,0.00004266974,0.0056694755],"study_design_scores_gemma":[0.000013571927,0.0006439606,0.97524446,0.0000085109905,0.00005888387,0.00029455248,0.00058260077,0.00045650578,0.021675,0.00004484021,0.0009539888,0.000023084162],"about_ca_topic_score_codex":0.008627604,"about_ca_topic_score_gemma":0.0140893385,"teacher_disagreement_score":0.008627604,"about_ca_system_score_codex":0.0007491808,"about_ca_system_score_gemma":0.00027323878,"threshold_uncertainty_score":0.017154753},"labels":[],"label_agreement":null},{"id":"W1809989152","doi":"10.5539/jas.v7n9p228","title":"Adaptability and Stability of Corn Hybrids in Southern Brazilian Environments","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Hybrid; Adaptability; Randomized block design; Grain yield; Biology; Agronomy; Yield (engineering); Gene–environment interaction; Crop; Genotype; Stability (learning theory); Biotechnology; Genetics; Ecology; Computer science; Gene","score_opus":0.038420305920801416,"score_gpt":0.20923866933858717,"score_spread":0.17081836341778575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1809989152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99959284,0.000048974274,0.00007740476,0.0000040730883,7.148748e-7,0.0000024921876,0.00003005529,0.0000025613933,0.00024086358],"genre_scores_gemma":[0.999288,0.00006242628,0.000260427,0.000007816971,0.0000011635124,0.0000065076665,0.00014131138,0.000004913092,0.00022736474],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996369,0.00007859021,0.000024976931,0.00010923842,0.000089092944,0.00006115355],"domain_scores_gemma":[0.99964285,0.000072664814,0.000117357915,0.000039663544,0.00007055965,0.000056844452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039433176,0.00027590973,0.00025156786,0.00075796474,0.0004714792,0.0003791434,0.00017468086,0.00016333196,0.00052597723],"category_scores_gemma":[0.00067726395,0.00013210117,0.00018989026,0.0004236949,0.00027922398,0.00013090903,0.00046238687,0.00017808544,0.00009480481],"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":[0.0011124015,0.00012768392,0.18845367,0.00008881766,0.00010426725,0.0006076941,0.0027191127,0.00043396486,0.7872909,0.00035429263,0.00006246326,0.01864478],"study_design_scores_gemma":[0.000015803322,0.00045634437,0.9771881,0.000010706645,0.00005558066,0.0005830636,0.0013372272,0.00044567903,0.018178992,0.00014914724,0.0015565632,0.000022814651],"about_ca_topic_score_codex":0.007138036,"about_ca_topic_score_gemma":0.019277757,"teacher_disagreement_score":0.007138036,"about_ca_system_score_codex":0.0004849214,"about_ca_system_score_gemma":0.00027943408,"threshold_uncertainty_score":0.014192998},"labels":[],"label_agreement":null},{"id":"W1890979602","doi":"10.1002/9781118854396.ch15","title":"Using Genomic Approaches to Unlock the Potential of CWR for Crop Adaptation to Climate Change","year":2015,"lang":"en","type":"other","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adaptation (eye); Climate change; Crop; Biology; Ecology; Neuroscience","score_opus":0.4097844316267624,"score_gpt":0.2567008047581775,"score_spread":0.1530836268685849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1890979602","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31871423,0.03231178,0.29924214,0.016350675,0.0020718302,0.00031565226,0.009412813,0.0035036416,0.31807733],"genre_scores_gemma":[0.73225504,0.026179394,0.1595048,0.0065709115,0.0006242565,0.00020611529,0.010221329,0.001044562,0.063393705],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976486,0.000036226516,0.000011324017,0.0000996781,0.00004931827,0.000038613347],"domain_scores_gemma":[0.99969196,0.000118011056,0.000055030392,0.00005714168,0.00002764567,0.000050187085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010436384,0.0004749849,0.00041007553,0.00086832844,0.00043065008,0.0017134276,0.00096335827,0.0010286798,0.011750723],"category_scores_gemma":[0.0007999372,0.00022809223,0.0005579779,0.0012108226,0.00080851803,0.0016158081,0.0018374902,0.002228218,0.0018998076],"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":[0.00039760213,0.0001573645,0.0064072623,0.0006229602,0.00014903604,0.0005824106,0.00035949438,0.0026564153,0.4706919,0.11906981,0.006182733,0.39272305],"study_design_scores_gemma":[0.00019231396,0.00045147238,0.09110503,0.00060353737,0.00049957284,0.0011929306,0.0010072199,0.013322674,0.100520015,0.1984974,0.5924239,0.00018386375],"about_ca_topic_score_codex":0.0022459058,"about_ca_topic_score_gemma":0.0050330204,"teacher_disagreement_score":0.011750723,"about_ca_system_score_codex":0.0009344531,"about_ca_system_score_gemma":0.00080966833,"threshold_uncertainty_score":0.039310098},"labels":[],"label_agreement":null},{"id":"W1895239495","doi":"10.4141/cjps2011-033","title":"Inheritance of stem strength and its correlations with culm morphological traits in wheat (<i>Triticum aestivum</i>L.)","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":35,"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; Heritability; Diallel cross; Dominance (genetics); Botany; Gene; Genetics","score_opus":0.048792600672372156,"score_gpt":0.18563541830410157,"score_spread":0.13684281763172942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1895239495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99944514,0.00008298041,0.00017254504,0.0000072506646,0.0000016516087,0.0000027851036,0.0001585502,0.000006633968,0.00012248154],"genre_scores_gemma":[0.99908984,0.00004383036,0.00021136028,0.0000121745015,0.000001890982,0.0000056069803,0.00035606418,0.0000053952563,0.00027384443],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997769,0.000051007137,0.000026689368,0.0000805419,0.000036635152,0.0000282216],"domain_scores_gemma":[0.9992644,0.00017346459,0.00029635723,0.00006351055,0.00006797722,0.00013417313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003612746,0.00034122495,0.0002189954,0.00078602124,0.00013554393,0.00022257864,0.00017208896,0.00018790884,0.00061833113],"category_scores_gemma":[0.0003097606,0.0002754684,0.00038254453,0.00051568187,0.00022682613,0.00013066771,0.00024112035,0.00038178512,0.00016065531],"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":[0.00064320624,0.0001206522,0.26997778,0.000055482782,0.00029323867,0.00029544416,0.00026762905,0.00032510344,0.71967065,0.00007528773,0.00012659577,0.008148918],"study_design_scores_gemma":[0.0000056236595,0.00013246606,0.99568045,0.000001380235,0.000031444426,0.00010790199,0.00002371016,0.0003048022,0.003603475,0.000018075933,0.00008379688,0.000006724974],"about_ca_topic_score_codex":0.0020508626,"about_ca_topic_score_gemma":0.003712179,"teacher_disagreement_score":0.0020508626,"about_ca_system_score_codex":0.00031122292,"about_ca_system_score_gemma":0.00014557273,"threshold_uncertainty_score":0.004077852},"labels":[],"label_agreement":null},{"id":"W1905272899","doi":"10.5376/mpb.2013.04.0014","title":"Combining Ability Studies in Maize (&lt;i&gt;Zea Mays&lt;/i&gt; L.)","year":2013,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":23,"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":"Zea mays; Biology; Agronomy","score_opus":0.04477007426558558,"score_gpt":0.22664123300967645,"score_spread":0.18187115874409088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1905272899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984592,0.0002569181,0.0007226697,0.0000073018136,0.000001246525,0.000008323932,0.00015413345,0.000011866061,0.00037833117],"genre_scores_gemma":[0.99767274,0.00023448067,0.00094672333,0.000012793161,0.0000037611749,0.000011887555,0.00061828055,0.000012068585,0.00048713345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997836,0.000035186953,0.000022288277,0.00005742598,0.000066933644,0.000034609468],"domain_scores_gemma":[0.99968493,0.000071335104,0.00010991867,0.00003813108,0.00002893394,0.00006682837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031967135,0.00032454813,0.00028749116,0.0010137333,0.00020790313,0.00022320624,0.00017063215,0.00011761699,0.000694846],"category_scores_gemma":[0.00029016222,0.00010732796,0.00047888578,0.0005821913,0.00018636805,0.00016586109,0.00029767508,0.00025532293,0.00012921555],"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":[0.00013592394,0.000023426375,0.0060054823,0.0000301901,0.00003525907,0.000072614755,0.00009599035,0.000105734995,0.99081826,0.00005971373,0.000008025967,0.0026093887],"study_design_scores_gemma":[0.000023392295,0.0023007954,0.680585,0.0000075470684,0.00026544978,0.0012532774,0.00015155223,0.0008827811,0.31242883,0.00017873727,0.0018804504,0.000042115167],"about_ca_topic_score_codex":0.0023519078,"about_ca_topic_score_gemma":0.0019697365,"teacher_disagreement_score":0.0023519078,"about_ca_system_score_codex":0.0002954643,"about_ca_system_score_gemma":0.00014221661,"threshold_uncertainty_score":0.0046764016},"labels":[],"label_agreement":null},{"id":"W1906179298","doi":"10.4141/cjps-2015-056","title":"Consistency of performance of early-maturing maize cultivars in <i>Striga-</i>infested and <i>Striga</i>-free environments","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","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":"Striga; Striga hermonthica; Cultivar; Agronomy; Infestation; Biology; Sorghum","score_opus":0.029272193336102002,"score_gpt":0.1763985925960735,"score_spread":0.14712639925997148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1906179298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999706,0.000044300876,0.000030668503,0.0000037387263,0.0000017642649,0.000002764557,0.00009109667,0.000002509356,0.000117093885],"genre_scores_gemma":[0.9993649,0.000028999557,0.00010578271,0.000009703728,7.4842313e-7,0.000005470385,0.00022284884,0.0000040315012,0.00025739087],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997441,0.000033192042,0.00003002228,0.00010769801,0.00003995531,0.000045001307],"domain_scores_gemma":[0.99931,0.000113493836,0.00023993032,0.000063115185,0.00013603696,0.00013740627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002694789,0.00028087647,0.0003180899,0.00041594022,0.0003304629,0.00063760584,0.00029714996,0.0002820373,0.00044746493],"category_scores_gemma":[0.00043959144,0.0002269977,0.0002718297,0.000383644,0.00026500205,0.0003688719,0.00044957612,0.00047094875,0.00015192492],"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":[0.002059352,0.00020145644,0.23972867,0.00011589098,0.00015431622,0.0002995735,0.001104876,0.0002550308,0.7489875,0.00008927213,0.00012082067,0.0068832585],"study_design_scores_gemma":[0.000005258951,0.00043481996,0.9872387,0.000003981262,0.000022188211,0.00008959648,0.00032917398,0.00017296743,0.0114528565,0.000014183117,0.00022802324,0.000008129756],"about_ca_topic_score_codex":0.0034997363,"about_ca_topic_score_gemma":0.008087485,"teacher_disagreement_score":0.0034997363,"about_ca_system_score_codex":0.0006681481,"about_ca_system_score_gemma":0.00022756675,"threshold_uncertainty_score":0.006958723},"labels":[],"label_agreement":null},{"id":"W1907134901","doi":"","title":"Agromorphological Studies for Variability, Heritability and their Associations of Local Wheat Varieties (Triticum Spp.) Grown in South Gondar Zone, Ethiopia","year":2015,"lang":"en","type":"article","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heritability; Biology; Crop; Randomized block design; Agronomy; Genetic variability; Yield (engineering); Grain yield; Genotype","score_opus":0.1208033764310066,"score_gpt":0.2707942756971244,"score_spread":0.1499908992661178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907134901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945086,0.000043743206,0.00012908381,0.0000024988565,0.0000010155198,0.000003794831,0.00018448253,0.0000015017458,0.00018288582],"genre_scores_gemma":[0.9990476,0.00004962661,0.00032889823,0.000004103835,0.0000011481222,0.0000075061434,0.00034720075,0.000002135944,0.0002117801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998418,0.000030707855,0.000021006503,0.000057582885,0.000033771037,0.000015208377],"domain_scores_gemma":[0.9996941,0.00006658114,0.00013513557,0.000025445304,0.000044184195,0.00003447589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002460486,0.00017274178,0.00011311578,0.0007522018,0.00024906197,0.00023776991,0.000114712966,0.000096885924,0.00075652904],"category_scores_gemma":[0.00030286337,0.00008605874,0.00016995081,0.000860518,0.00015550254,0.00008200084,0.00012730752,0.00012856956,0.00014646829],"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":[0.0002511319,0.00021582337,0.819514,0.00007536307,0.00013229997,0.0007828373,0.0015614145,0.00030554907,0.16583881,0.00016133345,0.0001259833,0.011035402],"study_design_scores_gemma":[0.0000013472031,0.000059300608,0.9988431,0.0000024694145,0.000007678253,0.00014282053,0.00019037117,0.00004357471,0.0005910574,0.000010615529,0.0001056282,0.0000019276972],"about_ca_topic_score_codex":0.0013077037,"about_ca_topic_score_gemma":0.0047227712,"teacher_disagreement_score":0.0013077037,"about_ca_system_score_codex":0.00017964304,"about_ca_system_score_gemma":0.00009865758,"threshold_uncertainty_score":0.0026002526},"labels":[],"label_agreement":null},{"id":"W1913255795","doi":"10.4141/cjps2010-032","title":"Analysis of covariance in agronomy and crop research","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Analysis of covariance; Statistics; Statistical analysis; Analysis of variance; Mathematics; Stability (learning theory); Covariance; Regression analysis; Variance (accounting); Computer science; Machine learning; Accounting","score_opus":0.14664743956116286,"score_gpt":0.2531439142759913,"score_spread":0.10649647471482845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1913255795","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019476112,0.07777079,0.8794414,0.0059420057,0.006078654,0.0004927933,0.0027148272,0.0033094848,0.022302417],"genre_scores_gemma":[0.035259303,0.06834708,0.85993433,0.0035103988,0.004615835,0.0022769338,0.004489622,0.0023700413,0.019196466],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9710734,0.016217504,0.0029020226,0.0034067566,0.006006296,0.00039399532],"domain_scores_gemma":[0.93103296,0.049888227,0.0033270845,0.008111355,0.0067198896,0.00092048914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028555341,0.0023061025,0.0037660096,0.0052780984,0.0015975616,0.0047806003,0.0027972322,0.002722088,0.017994972],"category_scores_gemma":[0.050911322,0.0014087751,0.0024741632,0.00949627,0.006551292,0.0054899957,0.0034503003,0.007710248,0.007623432],"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":[0.00013337356,0.00012199297,0.0028268823,0.005226801,0.00046414926,0.00044148832,0.0012124412,0.0043364856,0.0034922888,0.30561796,0.15398104,0.5221451],"study_design_scores_gemma":[0.000036605543,0.0001895845,0.0042383294,0.0014570002,0.00014762224,0.00067786267,0.0003418943,0.006305764,0.0019457103,0.3715052,0.6129902,0.00016418583],"about_ca_topic_score_codex":0.004156974,"about_ca_topic_score_gemma":0.0044675106,"teacher_disagreement_score":0.028555341,"about_ca_system_score_codex":0.0031098404,"about_ca_system_score_gemma":0.006013016,"threshold_uncertainty_score":0.15101695},"labels":[],"label_agreement":null},{"id":"W1925794974","doi":"10.2135/cropsci2014.09.0609","title":"Genetic Improvement Estimates, from Cultivar × Crop Management Trials, Are Larger in High‐Yield Cropping Environments","year":2015,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Cultivar; Biology; Agronomy; Adaptability; Genetic gain; Cropping; Yield (engineering); Crop yield; Crop; Genetic variation; Agriculture; Ecology","score_opus":0.08580642919528055,"score_gpt":0.2466519219390067,"score_spread":0.16084549274372617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1925794974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873869,0.0015042193,0.008613372,0.00006805867,0.00003729371,0.00013361151,0.00059685623,0.00014814445,0.0015116059],"genre_scores_gemma":[0.9854033,0.0004114666,0.0112326145,0.00014208138,0.000017845958,0.00013039153,0.00142001,0.00006304847,0.0011792353],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99519604,0.0021271135,0.00061822677,0.0010463591,0.0008750719,0.0001371908],"domain_scores_gemma":[0.9837458,0.010144607,0.0029002444,0.0016857178,0.0010401326,0.0004835783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009557778,0.00054338836,0.0007539992,0.00090271793,0.00028855415,0.0005568696,0.0005067149,0.00043939534,0.001727768],"category_scores_gemma":[0.0048191654,0.00016668394,0.0007722556,0.0006742252,0.00037251142,0.00067034765,0.00047658608,0.00091109547,0.0002935253],"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":[0.0034201902,0.0018812598,0.1264197,0.00078052346,0.0021296688,0.00023813045,0.00037963063,0.0033258945,0.78287673,0.00036438837,0.00066113507,0.07752273],"study_design_scores_gemma":[0.00018325119,0.015609174,0.7865476,0.00010386882,0.0017585824,0.00033710068,0.0002462852,0.002522808,0.18651718,0.0002377513,0.005867526,0.00006878207],"about_ca_topic_score_codex":0.00048440605,"about_ca_topic_score_gemma":0.0015358259,"teacher_disagreement_score":0.009557778,"about_ca_system_score_codex":0.0003380239,"about_ca_system_score_gemma":0.00021080807,"threshold_uncertainty_score":0.050547004},"labels":[],"label_agreement":null},{"id":"W1936400768","doi":"10.1007/s00122-015-2585-y","title":"Understanding crop genetic diversity under modern plant breeding","year":2015,"lang":"en","type":"review","venue":"Theoretical and Applied Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":289,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Genetic diversity; Biology; Agriculture; Crop; Crop diversity; Plant breeding; Selection (genetic algorithm); Diversity (politics); Agricultural biodiversity; Agroforestry; Food security; Sustainable agriculture; Biotechnology; Agronomy; Ecology; Computer science; Population","score_opus":0.18584225630382273,"score_gpt":0.25478808707464984,"score_spread":0.06894583077082711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1936400768","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":[0.27861756,0.5307674,0.15586442,0.008669501,0.0003423737,0.00005434131,0.0007918194,0.00019380992,0.024698772],"genre_scores_gemma":[0.7442412,0.22114883,0.030166885,0.0016555577,0.0002415371,0.00006875986,0.0005961317,0.000029753786,0.0018514197],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938095,0.00017773546,0.000034274457,0.00020867733,0.00016517988,0.00003314083],"domain_scores_gemma":[0.99901974,0.0004921184,0.0002614015,0.00006398586,0.00012873132,0.00003399745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014837352,0.00031624298,0.00054937263,0.0007432303,0.0002544197,0.0009037477,0.0006630595,0.0007358673,0.00088711665],"category_scores_gemma":[0.0014365216,0.00014154248,0.00040150934,0.0010914609,0.0011033152,0.0017943674,0.0005348644,0.0009033297,0.00014233125],"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":[0.00017721088,0.00009753075,0.04054007,0.008199444,0.00058140076,0.0007557349,0.0017728416,0.034299556,0.09995707,0.061636545,0.0030806093,0.74890196],"study_design_scores_gemma":[0.00004403645,0.0010945149,0.3137937,0.0039801034,0.0012768345,0.0040460345,0.0027310771,0.02618828,0.04079967,0.30124867,0.30449495,0.0003021054],"about_ca_topic_score_codex":0.0015099857,"about_ca_topic_score_gemma":0.0015203013,"teacher_disagreement_score":0.0015099857,"about_ca_system_score_codex":0.0011169055,"about_ca_system_score_gemma":0.0009892728,"threshold_uncertainty_score":0.008103728},"labels":[],"label_agreement":null},{"id":"W1955940441","doi":"10.4141/cjps2011-110","title":"Combined selection of progeny in crop breeding using best linear unbiased prediction","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":8,"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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Best linear unbiased prediction; Selection (genetic algorithm); Statistics; Mathematics; Biology; Trait; Biotechnology; Computer science","score_opus":0.05953024918165637,"score_gpt":0.2226480759090863,"score_spread":0.16311782672742994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1955940441","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":[0.3003431,0.0011025859,0.69515866,0.00006847676,0.00004169796,0.00014249912,0.00032182146,0.0012256677,0.0015956033],"genre_scores_gemma":[0.5595497,0.00025767955,0.43698,0.00006517474,0.00002806097,0.0002304225,0.0009833507,0.0003535904,0.0015521544],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968257,0.0017097935,0.0001138734,0.00065921975,0.0005608607,0.00013065353],"domain_scores_gemma":[0.99634665,0.0024880709,0.00025831113,0.00038419245,0.00044452306,0.000078244935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006681984,0.0009000019,0.0013922852,0.0013292435,0.00043679113,0.00086741796,0.0007543194,0.00050080684,0.0015151253],"category_scores_gemma":[0.0062791402,0.00043830017,0.0012182692,0.0009566297,0.00026162973,0.00053271826,0.00088676723,0.00080243824,0.00074343465],"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":[0.0018251879,0.00048265027,0.076321036,0.00035859726,0.0025447628,0.0006074321,0.00043508364,0.06807289,0.19985193,0.0022013932,0.0014084817,0.64589053],"study_design_scores_gemma":[0.0001549707,0.0010630907,0.10083564,0.000060401988,0.0013003546,0.0006321565,0.000108329245,0.8333457,0.054988723,0.0038366357,0.0035142323,0.00015972753],"about_ca_topic_score_codex":0.0013155438,"about_ca_topic_score_gemma":0.003054565,"teacher_disagreement_score":0.006681984,"about_ca_system_score_codex":0.00029528688,"about_ca_system_score_gemma":0.00041224307,"threshold_uncertainty_score":0.035338104},"labels":[],"label_agreement":null},{"id":"W1965692087","doi":"10.2135/cropsci2008.01.0060","title":"Diversity and Mega‐Targets of Selection from the Characterization of a Barley Collection","year":2009,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Germplasm; Biology; Breeding program; Selection (genetic algorithm); Genetic diversity; Agriculture; Identification (biology); Hordeum vulgare; Biotechnology; Diversity (politics); Plant breeding; Agronomy; Cultivar; Poaceae; Ecology; Demography; Population; Political science","score_opus":0.021177588621746648,"score_gpt":0.18488446543612108,"score_spread":0.16370687681437443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965692087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878805,0.00011626173,0.009819253,0.000015293754,0.0000036826398,0.000043630054,0.0010175946,0.000046746696,0.0010570942],"genre_scores_gemma":[0.9801502,0.00006896046,0.016101686,0.000013369385,0.0000075153816,0.00013706056,0.0031713236,0.00004078212,0.00030902604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977138,0.00069905707,0.00022112518,0.00072316534,0.0005163486,0.00012652036],"domain_scores_gemma":[0.9947924,0.0011377543,0.0018002102,0.001373018,0.00063479383,0.00026177458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001711674,0.00030898338,0.00055620103,0.0020152107,0.00070520357,0.0011301129,0.00049299956,0.00027121019,0.00079853734],"category_scores_gemma":[0.003949533,0.00028171722,0.00054729433,0.002194543,0.00036425464,0.0004550189,0.0010392581,0.00050456024,0.00033085002],"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":[0.0006155029,0.00017956393,0.7622071,0.00019194052,0.00067022996,0.00022295429,0.0028471504,0.0028583661,0.14264272,0.00064028334,0.00038958414,0.08653451],"study_design_scores_gemma":[0.000011139835,0.00016167354,0.9877122,0.000013750076,0.00008768504,0.0001742055,0.0003133917,0.0020890608,0.007563639,0.00021001312,0.0016460384,0.00001710859],"about_ca_topic_score_codex":0.0022600386,"about_ca_topic_score_gemma":0.005375785,"teacher_disagreement_score":0.0022600386,"about_ca_system_score_codex":0.00053264596,"about_ca_system_score_gemma":0.0003632902,"threshold_uncertainty_score":0.009052336},"labels":[],"label_agreement":null},{"id":"W1966035416","doi":"10.1590/s0006-87052011000100005","title":"Desempenho de genitores e populações segregantes de trigo sob estresse de calor","year":2011,"lang":"pt","type":"article","venue":"Bragantia","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Biology; Animal science; Horticulture; Physics","score_opus":0.07374684837284183,"score_gpt":0.22630022044327175,"score_spread":0.1525533720704299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966035416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995536,0.000054914417,0.00008727235,0.0000054018496,0.0000011159983,0.0000036010852,0.00006977847,0.0000035535352,0.00022074401],"genre_scores_gemma":[0.9985549,0.00006784802,0.00035367804,0.000014813315,0.0000011818987,0.000012650903,0.00013809878,0.0000038421144,0.0008530728],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99980503,0.00004211847,0.000008029433,0.0000858234,0.000027650749,0.000031386473],"domain_scores_gemma":[0.9994748,0.00014880374,0.00011852744,0.0000578606,0.0000795493,0.00012045185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028933072,0.00027260493,0.0002606291,0.0003639856,0.0002881415,0.00042981055,0.00021774344,0.00018382331,0.0013860196],"category_scores_gemma":[0.00040983988,0.00013748619,0.0002259933,0.00030521824,0.00023143008,0.00017469501,0.00026710462,0.00023891524,0.00017308143],"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":[0.0023606748,0.0002550746,0.40296996,0.00008249928,0.00010414385,0.00022096836,0.0017966974,0.00018220209,0.57749385,0.00009315882,0.000072477196,0.014368285],"study_design_scores_gemma":[0.000006815677,0.0012163278,0.98684734,0.000006842633,0.00006019166,0.0001099857,0.0010355546,0.0001910927,0.009949571,0.000028832694,0.00053953065,0.000007907182],"about_ca_topic_score_codex":0.004467625,"about_ca_topic_score_gemma":0.009619718,"teacher_disagreement_score":0.004467625,"about_ca_system_score_codex":0.00022534757,"about_ca_system_score_gemma":0.0001874609,"threshold_uncertainty_score":0.008883238},"labels":[],"label_agreement":null},{"id":"W1969156154","doi":"10.2134/agronj2013.0295","title":"Evaluation of Wheat Cultivars to Test Indirect Selection for Organic Conditions","year":2014,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cultivar; Organic farming; Agronomy; Yield (engineering); Selection (genetic algorithm); Trait; Biology; Plant breeding; Environmental science; Agriculture; Ecology; Materials science","score_opus":0.04615419953866511,"score_gpt":0.2542194196660033,"score_spread":0.2080652201273382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969156154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99803823,0.00012696431,0.0007915728,0.000023683539,0.0000068326362,0.000046264944,0.00011833405,0.000015264579,0.0008329617],"genre_scores_gemma":[0.9864884,0.00047846173,0.008279876,0.0001484194,0.000011551945,0.000097430646,0.0012622713,0.000038600938,0.0031950576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995072,0.00007345322,0.000038417078,0.000117880154,0.00018941659,0.00007365167],"domain_scores_gemma":[0.99924517,0.00012374912,0.0002004796,0.00006825693,0.00019936138,0.00016295753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006228004,0.0005062746,0.00032527052,0.00026325288,0.00033877202,0.00052503234,0.0005164512,0.00027992288,0.0006996845],"category_scores_gemma":[0.0004988135,0.00014936851,0.00019884328,0.00031699945,0.00029673183,0.00024382911,0.0005561583,0.00046717326,0.00016764938],"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":[0.00035244582,0.00013858282,0.020965967,0.00009402782,0.000038233535,0.000081389044,0.00015678695,0.000113588714,0.9693233,0.000051698364,0.000047963375,0.008636106],"study_design_scores_gemma":[0.000102641905,0.0068831076,0.6664988,0.000031751282,0.00035001183,0.00039472152,0.00057809264,0.00093281723,0.31847215,0.00006716632,0.0056378883,0.000050962935],"about_ca_topic_score_codex":0.007904449,"about_ca_topic_score_gemma":0.04463781,"teacher_disagreement_score":0.007904449,"about_ca_system_score_codex":0.0008033032,"about_ca_system_score_gemma":0.0007857288,"threshold_uncertainty_score":0.01571685},"labels":[],"label_agreement":null},{"id":"W1972485935","doi":"10.2135/cropsci2002.0021","title":"Biplot Analysis of Diallel Data","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Diallel cross; Biology; Genotype; Biotechnology; Principal component analysis; Hybrid; Statistics; Genetics; Mathematics; Agronomy; Gene","score_opus":0.17878167335244657,"score_gpt":0.2521679827196531,"score_spread":0.07338630936720655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972485935","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21755743,0.00071134296,0.42927554,0.00074971747,0.0024208378,0.0035840706,0.20715404,0.10736031,0.031186689],"genre_scores_gemma":[0.4278475,0.00031405437,0.44729862,0.00040020305,0.0002358088,0.012743426,0.078367226,0.01559702,0.017196152],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9886424,0.0038254627,0.0010764763,0.0036620533,0.0019679384,0.0008255961],"domain_scores_gemma":[0.98132414,0.012538679,0.0008178058,0.0022099677,0.0026575807,0.00045182073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0080028465,0.0020001754,0.0028030693,0.0045825653,0.0010735599,0.002228851,0.0015281781,0.00069090846,0.07321809],"category_scores_gemma":[0.02045407,0.0006776759,0.0015338141,0.004300405,0.00054492516,0.0013385154,0.001342521,0.0031938048,0.013145313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0139764175,0.0040191184,0.041393116,0.0046566604,0.0037695,0.0013724655,0.0044409144,0.010531543,0.07433518,0.010336219,0.17773108,0.6534378],"study_design_scores_gemma":[0.0015087471,0.009153197,0.2965532,0.00092518044,0.0014092632,0.0017497777,0.0031159015,0.20253004,0.069785066,0.01662337,0.39579523,0.0008510555],"about_ca_topic_score_codex":0.002431225,"about_ca_topic_score_gemma":0.0019937474,"teacher_disagreement_score":0.07321809,"about_ca_system_score_codex":0.0007483638,"about_ca_system_score_gemma":0.0010390427,"threshold_uncertainty_score":0.24493891},"labels":[],"label_agreement":null},{"id":"W1973379406","doi":"10.2135/cropsci2000.403655x","title":"Plot Direction and Spacing Effects on Interplot Interference in Spring Wheat Cultivar Trials","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Genome Prairie; University of Saskatchewan","funders":"","keywords":"Cultivar; Yield (engineering); Spring (device); Agronomy; Winter wheat; Interference (communication); Latitude; Biology; Field experiment; Horticulture; Geography","score_opus":0.04665239081751233,"score_gpt":0.25888328327820026,"score_spread":0.21223089246068794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973379406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965585,0.00013714064,0.0022341704,0.000012478315,0.000019662735,0.00009700126,0.00013365815,0.000027552183,0.000779794],"genre_scores_gemma":[0.9900906,0.00008780418,0.007664914,0.000082164705,0.000018515597,0.0004234528,0.00066421117,0.00005980472,0.00090848695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99102753,0.005141,0.0007698872,0.0012982774,0.0015441234,0.00021924757],"domain_scores_gemma":[0.98867,0.0058608656,0.002624215,0.0012947717,0.00086171,0.00068841304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046365415,0.00057265,0.0007984491,0.00036712046,0.0005459449,0.00063333515,0.0007237349,0.00043551283,0.00072279025],"category_scores_gemma":[0.0062423768,0.0004235723,0.00050427846,0.0004944425,0.00054358726,0.00039610988,0.00058838923,0.0007648315,0.00015475246],"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":[0.046427216,0.004271791,0.20191172,0.0005256773,0.0015899434,0.00030712207,0.0019178588,0.0045002406,0.67741394,0.00043702227,0.0004992862,0.060198147],"study_design_scores_gemma":[0.0011289376,0.053559937,0.84717745,0.00004006112,0.00086369977,0.00020988083,0.0003481022,0.004439258,0.088621765,0.00036124242,0.003162867,0.00008672071],"about_ca_topic_score_codex":0.0017194172,"about_ca_topic_score_gemma":0.008930406,"teacher_disagreement_score":0.0046365415,"about_ca_system_score_codex":0.0007566001,"about_ca_system_score_gemma":0.0005413427,"threshold_uncertainty_score":0.024520695},"labels":[],"label_agreement":null},{"id":"W1978689005","doi":"10.2135/cropsci2005.06-0159","title":"Can Spring Wheat‐Growing Megaenvironments in the Northern Great Plains Be Dissected for Representative Locations or Niche‐Adapted Genotypes?","year":2006,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Western Grains Research Foundation; Alberta Agricultural Research Institute; Alberta Crop Industry Development Fund","keywords":"Biology; Gene–environment interaction; Niche; Genotype; Germplasm; Yield (engineering); Grain yield; Agronomy; Ecology; Genetics","score_opus":0.04255783464849594,"score_gpt":0.24616718884646901,"score_spread":0.20360935419797307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978689005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988159,0.000120885175,0.00044906753,0.000023277718,0.0000010616167,0.0000050502053,0.00013985824,0.000013827557,0.00043112127],"genre_scores_gemma":[0.9988417,0.00005216899,0.0006190564,0.000016280093,0.0000013882452,0.0000040626437,0.00026507903,0.000004567962,0.00019575792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997285,0.000071572365,0.000009334605,0.00009017763,0.000041414176,0.000058907124],"domain_scores_gemma":[0.9993767,0.00014768727,0.00020077829,0.00007038671,0.000105015795,0.00009949753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000614313,0.00025617125,0.00027874226,0.0007642854,0.0004067452,0.00070103543,0.00050407834,0.00019808351,0.0005317238],"category_scores_gemma":[0.00081947906,0.00015416332,0.00023041379,0.001079737,0.0006090115,0.00029525705,0.00039350713,0.00013826002,0.00011587071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002918844,0.00002926527,0.9587994,0.00004292831,0.00007335989,0.00012850025,0.0007995676,0.0016619427,0.020858863,0.00014870736,0.00017692005,0.016988683],"study_design_scores_gemma":[0.0000018232098,0.000010289821,0.99863774,0.0000029761227,0.000009660862,0.000014267375,0.00032132302,0.00066295033,0.00015793728,0.000027617596,0.00015051349,0.0000029350495],"about_ca_topic_score_codex":0.5042247,"about_ca_topic_score_gemma":0.78657216,"teacher_disagreement_score":0.5042247,"about_ca_system_score_codex":0.0013947337,"about_ca_system_score_gemma":0.0015384482,"threshold_uncertainty_score":0.99739003},"labels":[],"label_agreement":null},{"id":"W1979966076","doi":"10.1016/j.fcr.2006.12.011","title":"Agronomic performance and quality of oat (Avena sativa L.) genotypes of worldwide origin produced under Central European growing conditions","year":2007,"lang":"en","type":"article","venue":"Field Crops Research","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":128,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Avena; Panicle; Heritability; Biology; Agronomy; Cultivar; Grain quality; Grain yield; Germplasm","score_opus":0.14038343031034836,"score_gpt":0.34075096531890964,"score_spread":0.20036753500856128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979966076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99926203,0.00011805281,0.00013186155,0.000011194825,0.0000036650608,0.000002743143,0.00020995154,0.000009795078,0.00025070674],"genre_scores_gemma":[0.9966131,0.00007804346,0.00030505398,0.000031348332,0.0000032576331,0.0000072849216,0.0013107152,0.00005646533,0.0015948019],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99949956,0.00011201444,0.000059244077,0.00016455559,0.00008840492,0.00007624441],"domain_scores_gemma":[0.99859077,0.00029530292,0.00029800012,0.00011867483,0.00018608649,0.0005112235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005391141,0.00054024375,0.00051140535,0.0008428696,0.00033101407,0.000663703,0.0002835147,0.00042412142,0.00118651],"category_scores_gemma":[0.00058483466,0.0001952293,0.00035639785,0.00082320016,0.00035181356,0.00040771707,0.0004993132,0.0006450072,0.00035586837],"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":[0.0010711559,0.00009627627,0.0048149666,0.000024874083,0.00004993876,0.000113611364,0.00015336284,0.00012113674,0.9920576,0.000032512075,0.00004210028,0.0014224892],"study_design_scores_gemma":[0.00015669057,0.0031193874,0.78119725,0.000024702436,0.0002880508,0.0009323865,0.0006424938,0.001086798,0.21044146,0.000094722294,0.0019359058,0.00008021654],"about_ca_topic_score_codex":0.004955624,"about_ca_topic_score_gemma":0.0063645295,"teacher_disagreement_score":0.004955624,"about_ca_system_score_codex":0.0006755518,"about_ca_system_score_gemma":0.00024854983,"threshold_uncertainty_score":0.009853542},"labels":[],"label_agreement":null},{"id":"W1980763314","doi":"10.2135/cropsci2005.0103","title":"Use of Sister‐Lines and the Performance of Modified Single‐Cross Maize Hybrids","year":2006,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Inbred strain; Hybrid; Diallel cross; Biology; Agronomy; Horticulture; Genetics; Gene","score_opus":0.0558004723431399,"score_gpt":0.2142089189730667,"score_spread":0.1584084466299268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980763314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836224,0.00013318536,0.00095950486,0.000010304174,0.0000060608168,0.000020544523,0.00012953642,0.000023519666,0.00035506458],"genre_scores_gemma":[0.99430275,0.00018219139,0.0033182479,0.000028433233,0.0000061321466,0.00005131241,0.0009848765,0.00004066616,0.0010853508],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993869,0.00013249296,0.000074637755,0.0001943941,0.00016348252,0.00004810426],"domain_scores_gemma":[0.99945134,0.00012142359,0.00017285279,0.00009709635,0.000064782595,0.00009239102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058300584,0.00039273436,0.00026015643,0.00049353443,0.0002669926,0.00027857118,0.00042046234,0.00026001583,0.00087880116],"category_scores_gemma":[0.0005782441,0.00017612605,0.0004252185,0.0003384147,0.00016824158,0.00020572162,0.00048875523,0.0003806451,0.00023136302],"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":[0.00017726357,0.00006756394,0.0027769338,0.000028841083,0.000033719352,0.00005764766,0.000087031585,0.00006035871,0.99330103,0.00005453272,0.000017093627,0.0033379467],"study_design_scores_gemma":[0.00007646941,0.0035318928,0.20268296,0.000017793725,0.00027690592,0.0012299052,0.0003118417,0.0011861782,0.7857156,0.00013264419,0.0047791703,0.00005881617],"about_ca_topic_score_codex":0.0009276271,"about_ca_topic_score_gemma":0.0021307475,"teacher_disagreement_score":0.0009276271,"about_ca_system_score_codex":0.00032613435,"about_ca_system_score_gemma":0.00017080487,"threshold_uncertainty_score":0.0030832887},"labels":[],"label_agreement":null},{"id":"W1983570853","doi":"10.4141/p00-005","title":"Genotype–environment interaction of no-till winter wheat in Western Canada","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gene–environment interaction; Irrigation; Agronomy; Cultivar; Biology; Winter wheat; Crop; Genotype; Yield (engineering); Grain yield","score_opus":0.02012078023841435,"score_gpt":0.1754747874649725,"score_spread":0.15535400722655815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983570853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988355,0.00008663371,0.00009599578,0.000036922316,0.0000030950248,0.0000067280876,0.000414249,0.000008031107,0.0005127821],"genre_scores_gemma":[0.9973918,0.00011790628,0.00034955074,0.000050101233,8.834217e-7,0.000008251458,0.0006515948,0.0000146696375,0.0014152161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960417,0.00004705908,0.00002066974,0.000108903965,0.00011040406,0.00010879663],"domain_scores_gemma":[0.9995016,0.00006534106,0.00006214443,0.000030584084,0.00019645166,0.00014383502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003163428,0.00031697223,0.00036638536,0.00052835746,0.0011073548,0.0005682305,0.000405654,0.00016192133,0.0008851447],"category_scores_gemma":[0.00045444153,0.00017918285,0.00030517083,0.00093701953,0.0004983081,0.0001463326,0.0003142405,0.0002643336,0.0001114616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001707165,0.00024192438,0.85398245,0.00006395507,0.00035061067,0.0008813481,0.002087551,0.0013234881,0.110508755,0.00046741182,0.0016983036,0.026687015],"study_design_scores_gemma":[0.000008628787,0.000058907262,0.99730825,0.0000046992986,0.00003465163,0.000051531508,0.0004987839,0.00037544963,0.0008017425,0.000022849485,0.00082171435,0.000012802824],"about_ca_topic_score_codex":0.96887755,"about_ca_topic_score_gemma":0.99190444,"teacher_disagreement_score":0.031122446,"about_ca_system_score_codex":0.009351449,"about_ca_system_score_gemma":0.01090458,"threshold_uncertainty_score":0.067849815},"labels":[],"label_agreement":null},{"id":"W1986524619","doi":"10.1139/x03-082","title":"Genotype by environment interaction and its implications for genetic improvement of interior spruce in British Columbia","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reforestation; Seed orchard; Genetic gain; Forestry; Gene–environment interaction; Geography; Biology; Genotype; Genetic variation; Horticulture; Genetics","score_opus":0.04750971331350022,"score_gpt":0.2581972374952668,"score_spread":0.21068752418176656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986524619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989122,0.00010773623,0.00015979138,0.000027897004,0.000001461021,0.0000075275198,0.00015843725,0.0000064767996,0.00061854825],"genre_scores_gemma":[0.99889886,0.00009195241,0.00040562102,0.000020977486,0.0000010144083,0.000005528078,0.00023919911,0.00000516537,0.00033165864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985329,0.00042148182,0.00009095178,0.00027454086,0.00035931906,0.00032075166],"domain_scores_gemma":[0.99822086,0.0007222231,0.00021544567,0.0001225883,0.00037428385,0.0003445489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009704632,0.00038166178,0.0005000739,0.0016048225,0.0012071655,0.0010362255,0.0004695663,0.00027554695,0.00081716233],"category_scores_gemma":[0.0024924513,0.00015772686,0.0002542582,0.0018193732,0.0011493679,0.0001367042,0.00069996965,0.00042742054,0.000079796264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004120624,0.000078842495,0.9479543,0.000044173263,0.00018803676,0.001187637,0.0010990673,0.0015549286,0.02143061,0.0002494123,0.00025020706,0.025550768],"study_design_scores_gemma":[0.0000035762714,0.000021473925,0.9988595,0.0000051524885,0.00001891696,0.000056881,0.00032278924,0.00027283802,0.00018127655,0.00002955668,0.00022161317,0.000006435024],"about_ca_topic_score_codex":0.7489961,"about_ca_topic_score_gemma":0.9264465,"teacher_disagreement_score":0.25100392,"about_ca_system_score_codex":0.0037562521,"about_ca_system_score_gemma":0.0038911079,"threshold_uncertainty_score":0.50496423},"labels":[],"label_agreement":null},{"id":"W1987569904","doi":"10.1007/s10681-009-9949-9","title":"Should spring wheat breeding for organically managed systems be conducted on organically managed land?","year":2009,"lang":"en","type":"article","venue":"Euphytica","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Cultivar; Agronomy; Biology; Heritability; Population; Organic farming; Genetic gain; Anthesis; Plant breeding; Test weight; Agriculture; Genetic variation; Ecology; Demography","score_opus":0.0697534219652966,"score_gpt":0.23925691796667953,"score_spread":0.16950349600138293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987569904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9627674,0.0005782275,0.003970355,0.02236865,0.0003351941,0.000094961426,0.00011591414,0.00008382378,0.009685368],"genre_scores_gemma":[0.9737419,0.00088338164,0.011976405,0.0072908816,0.0005706881,0.00008544144,0.0001568091,0.000029475386,0.0052651702],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995265,0.00013182378,0.000023147037,0.000097252036,0.00010151291,0.000119824246],"domain_scores_gemma":[0.9970118,0.00055799395,0.0007102065,0.0002448583,0.00048400613,0.0009911017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002062296,0.00021083179,0.0002509955,0.00024111393,0.00093878614,0.00084973656,0.00059778016,0.0010973994,0.0031038385],"category_scores_gemma":[0.0024180687,0.00011721695,0.00016238331,0.00040540777,0.000981593,0.0013495531,0.00043116108,0.0007042278,0.00045418754],"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":[0.0033221284,0.0030776148,0.43077177,0.0006779863,0.00015381354,0.0022298633,0.001163092,0.0018681139,0.12663406,0.0060297186,0.01466579,0.40940607],"study_design_scores_gemma":[0.00069031585,0.0034833646,0.9065059,0.00022164315,0.00016937032,0.0012777185,0.008416757,0.0021986302,0.0133855315,0.0098839905,0.053692266,0.00007447658],"about_ca_topic_score_codex":0.010677929,"about_ca_topic_score_gemma":0.04672751,"teacher_disagreement_score":0.010677929,"about_ca_system_score_codex":0.00072960585,"about_ca_system_score_gemma":0.0035376458,"threshold_uncertainty_score":0.021231592},"labels":[],"label_agreement":null},{"id":"W1989738684","doi":"10.2135/cropsci2006.06.0374","title":"GGE Biplot vs. AMMI Analysis of Genotype‐by‐Environment Data","year":2007,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1380,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Ammi; Main effect; Gene–environment interaction; Statistics; Genotype; Biology; Biotechnology; Mathematics; Genetics","score_opus":0.05265461119265187,"score_gpt":0.24135111142747406,"score_spread":0.1886965002348222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989738684","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.099973135,0.0020906408,0.8728569,0.00095705566,0.000469081,0.0003442704,0.012817078,0.0075867698,0.0029050158],"genre_scores_gemma":[0.56129014,0.00070993067,0.41873136,0.00077757443,0.00017585345,0.00090662256,0.013753168,0.0016675196,0.0019877772],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9759563,0.01752353,0.0010668697,0.003336904,0.0017166076,0.00039977065],"domain_scores_gemma":[0.95971864,0.028791342,0.0031369783,0.0051231724,0.0028623703,0.0003675114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01514358,0.0020462896,0.0022933118,0.005095707,0.0005241615,0.0027685396,0.0014840382,0.00094775634,0.0056883474],"category_scores_gemma":[0.031086132,0.0004463041,0.003463478,0.005737796,0.0009068798,0.0014492141,0.0014774759,0.0027303786,0.001654966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036225012,0.0006173408,0.169083,0.0049749794,0.014072174,0.0016793164,0.0010470449,0.086868644,0.03608201,0.025835723,0.04004357,0.6160737],"study_design_scores_gemma":[0.0003007891,0.0018602061,0.37733558,0.00076627557,0.0020663065,0.0013000255,0.0011134531,0.46462432,0.018165028,0.07557759,0.05639114,0.00049932615],"about_ca_topic_score_codex":0.0018657207,"about_ca_topic_score_gemma":0.0016372849,"teacher_disagreement_score":0.01514358,"about_ca_system_score_codex":0.00068587135,"about_ca_system_score_gemma":0.0007722673,"threshold_uncertainty_score":0.08008784},"labels":[],"label_agreement":null},{"id":"W1991117881","doi":"10.2135/cropsci2004.2086","title":"Physiological Basis of Heterosis for Grain Yield in Maize","year":2004,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":224,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Neag School of Education","keywords":"Heterosis; Biology; Interception; Hybrid; Agronomy; Leaf area index; Grain yield; Inbred strain; Yield (engineering); Poaceae; Dry matter; Heritability; Horticulture","score_opus":0.07679420695299671,"score_gpt":0.2414841089985716,"score_spread":0.16468990204557488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991117881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99822325,0.00030153475,0.00079687807,0.000016092124,0.0000019119811,0.0000054912266,0.0001465686,0.000022746288,0.00048561898],"genre_scores_gemma":[0.9990682,0.00008547406,0.00030175803,0.000016076956,0.000001780126,0.000005667127,0.00019537292,0.000010431863,0.00031529443],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999808,0.0000234717,0.000020757703,0.00007501853,0.000053197724,0.000019632262],"domain_scores_gemma":[0.9995983,0.00008232686,0.00014584402,0.000054550343,0.000058886537,0.000060101134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025178023,0.00024325072,0.00027248537,0.0004905561,0.00017966103,0.0003826051,0.00022828433,0.00016160203,0.0004576733],"category_scores_gemma":[0.0002611268,0.00024260358,0.00023103325,0.00028016182,0.00029742206,0.00032330918,0.00038313962,0.0003807986,0.00008828179],"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":[0.00011582553,0.000019754185,0.013883584,0.00002188671,0.000029805436,0.000060300463,0.00009371486,0.000100377736,0.98355293,0.00011071529,0.000016176138,0.0019948955],"study_design_scores_gemma":[0.000007792364,0.00016428277,0.9337923,0.0000034430661,0.000024239891,0.00020918234,0.00009086722,0.0007651831,0.064424135,0.00019374177,0.00030817743,0.000016803619],"about_ca_topic_score_codex":0.0028243635,"about_ca_topic_score_gemma":0.0036735476,"teacher_disagreement_score":0.0028243635,"about_ca_system_score_codex":0.0006220888,"about_ca_system_score_gemma":0.00022975716,"threshold_uncertainty_score":0.0056158304},"labels":[],"label_agreement":null},{"id":"W1993682589","doi":"10.2135/cropsci2001.41119x","title":"Interpretation of Genotype × Environment Interaction for Winter Wheat Yield in Ontario","year":2001,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":352,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Septoria; Gene–environment interaction; Cultivar; Biology; Interaction; Trait; Yield (engineering); Genotype; Main effect; Agronomy; Statistics; Mathematics; Genetics","score_opus":0.04471781736295529,"score_gpt":0.2243172130486074,"score_spread":0.1795993956856521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993682589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99818367,0.00003822367,0.00032148857,0.000024778175,0.000002139771,0.000006673129,0.00047598084,0.000008891198,0.0009381458],"genre_scores_gemma":[0.9972262,0.000043721695,0.00039401653,0.000016994238,0.00000102457,0.000008969096,0.0008064723,0.000016668815,0.0014859722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999689,0.00005892615,0.000014948093,0.0000790564,0.000107193475,0.000051027804],"domain_scores_gemma":[0.99935716,0.00019057217,0.00013699275,0.000046292258,0.00018349287,0.000085564025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004020157,0.00024137474,0.00025177855,0.00035048905,0.0005708979,0.00046838744,0.00024826985,0.00010500647,0.0009441125],"category_scores_gemma":[0.0008467859,0.00011007646,0.0002870642,0.0006459382,0.00037357598,0.00012802052,0.00031047786,0.00016393515,0.0000858277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012317477,0.000055169887,0.8873754,0.000061986,0.00023893872,0.00042577545,0.0019119473,0.0014556089,0.08595614,0.00036063345,0.0009515468,0.019975172],"study_design_scores_gemma":[0.0000037730015,0.00002072728,0.998197,0.0000015733625,0.000022318794,0.000012810447,0.00014217089,0.0004478525,0.0006144158,0.000021342672,0.0005124438,0.0000035178302],"about_ca_topic_score_codex":0.80794924,"about_ca_topic_score_gemma":0.940285,"teacher_disagreement_score":0.19205076,"about_ca_system_score_codex":0.0059997384,"about_ca_system_score_gemma":0.003358096,"threshold_uncertainty_score":0.3863635},"labels":[],"label_agreement":null},{"id":"W1994088337","doi":"10.1139/g09-042","title":"Chromosomal location of the cadmium uptake gene (<i>Cdu1</i>) in durum wheat","year":2009,"lang":"en","type":"article","venue":"Genome","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Quantitative trait locus; Doubled haploidy; Locus (genetics); Cadmium; Gene; Ploidy; Genetics; Population; Triticum turgidum; Microsatellite; Chromosome; Wheat grain; Inbred strain; Allele; Agronomy","score_opus":0.01664148730970149,"score_gpt":0.18345147726570332,"score_spread":0.16680998995600183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994088337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780875,0.0003216548,0.0007993282,0.000032964093,0.0000067532646,0.000009081186,0.0005179249,0.000027651336,0.000475913],"genre_scores_gemma":[0.9953784,0.00018469249,0.0011428692,0.00004381287,0.000004218257,0.000011508721,0.0014566588,0.000019947396,0.0017578377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989307,0.000008079141,0.000008451312,0.000055974182,0.000017802346,0.000016659575],"domain_scores_gemma":[0.99980384,0.000044821743,0.000065925866,0.000015208177,0.000014440949,0.000055816632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077599056,0.00018780153,0.00019147093,0.00073880976,0.0003242695,0.0002851474,0.00024739368,0.00032175818,0.0010072739],"category_scores_gemma":[0.000183192,0.00026729138,0.00016407449,0.00041452964,0.00027733255,0.000097903525,0.00027138068,0.00034743143,0.00035419603],"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":[0.00020103404,0.00003859091,0.0035506655,0.000029086672,0.0000072917783,0.00018050865,0.00010566224,0.00009495641,0.9923855,0.00008285081,0.000036657064,0.0032870888],"study_design_scores_gemma":[0.00010827057,0.00052887347,0.71391463,0.000063897976,0.00008255719,0.0024227393,0.00042457288,0.0015238944,0.2733476,0.00024993543,0.007285675,0.000047319805],"about_ca_topic_score_codex":0.0038661372,"about_ca_topic_score_gemma":0.00528056,"teacher_disagreement_score":0.0038661372,"about_ca_system_score_codex":0.00053804973,"about_ca_system_score_gemma":0.00014036149,"threshold_uncertainty_score":0.0076872706},"labels":[],"label_agreement":null},{"id":"W1994830981","doi":"10.2135/cropsci2006.09.0611","title":"Mixed‐Model Analysis of Crossover Genotype–Environment Interactions","year":2007,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Centers for Disease Control and Prevention","keywords":"Biology; Crossover; Genotype; Gene–environment interaction; Genetics; Gene","score_opus":0.05267557188734579,"score_gpt":0.24628133498526056,"score_spread":0.19360576309791477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994830981","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16943458,0.0003276661,0.82739747,0.00015468226,0.00010394013,0.00013915637,0.0007121712,0.0008335047,0.0008968607],"genre_scores_gemma":[0.76437294,0.00021592645,0.22765161,0.00012798638,0.00008995053,0.0008725412,0.0020652134,0.00034041703,0.0042633433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942871,0.004114271,0.00012527652,0.00077682297,0.00042607528,0.00027042883],"domain_scores_gemma":[0.9858898,0.011811708,0.0005706863,0.0009016506,0.00053884013,0.0002872411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010844683,0.001342537,0.0019243868,0.0013331167,0.00058903417,0.0013075996,0.0019276501,0.0006717197,0.0037950326],"category_scores_gemma":[0.013509532,0.0004827213,0.0025234998,0.0009494636,0.00050022,0.0010099337,0.0011945872,0.0014172447,0.00051948434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006131652,0.0016219812,0.101979874,0.00073749095,0.010480551,0.0014440818,0.0010292296,0.47962442,0.02557555,0.10849305,0.0052418043,0.25764033],"study_design_scores_gemma":[0.000121249475,0.00062582764,0.010257771,0.0000131538445,0.00031100903,0.00015216216,0.00006290676,0.97009313,0.0022113193,0.014458714,0.0016279321,0.00006477959],"about_ca_topic_score_codex":0.0041792425,"about_ca_topic_score_gemma":0.0042809923,"teacher_disagreement_score":0.010844683,"about_ca_system_score_codex":0.00075467274,"about_ca_system_score_gemma":0.0010720744,"threshold_uncertainty_score":0.05735284},"labels":[],"label_agreement":null},{"id":"W1995523522","doi":"10.2135/cropsci2002.3850","title":"On‐Farm Strip Trials vs. Replicated Performance Trials for Cultivar Evaluation","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"","keywords":"Cultivar; Best linear unbiased prediction; Biology; Reliability (semiconductor); Agronomy; Statistics; Mathematics; Selection (genetic algorithm); Computer science","score_opus":0.4255987498067616,"score_gpt":0.35732798721561865,"score_spread":0.06827076259114295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995523522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9384336,0.0023093717,0.043991502,0.0001269893,0.00035498515,0.004893376,0.0019251016,0.00036457108,0.007600557],"genre_scores_gemma":[0.88123065,0.00096097466,0.097512014,0.00047484715,0.00014649509,0.009551912,0.0028225984,0.0005278936,0.0067724823],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9460581,0.03982388,0.0032709173,0.0052007018,0.005005632,0.00064086413],"domain_scores_gemma":[0.931017,0.036531884,0.011976945,0.0129018,0.0056485725,0.0019237994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03257183,0.0012409964,0.0021797451,0.0009191437,0.0007211514,0.0014752441,0.002002144,0.0012875336,0.0023079168],"category_scores_gemma":[0.03155705,0.0005933953,0.0018268046,0.0011209041,0.0011210195,0.0012667389,0.0012968583,0.0017138436,0.0007164447],"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":[0.15408339,0.01980392,0.14644834,0.0055047623,0.012048712,0.00055993657,0.00413573,0.010696407,0.38504058,0.003512815,0.0042937705,0.25387162],"study_design_scores_gemma":[0.0068527595,0.19432633,0.65414697,0.00044181806,0.006342918,0.00034047378,0.000824458,0.019556582,0.093006425,0.0029365544,0.020578425,0.0006462471],"about_ca_topic_score_codex":0.0025644249,"about_ca_topic_score_gemma":0.009418661,"teacher_disagreement_score":0.03257183,"about_ca_system_score_codex":0.001488279,"about_ca_system_score_gemma":0.0008578271,"threshold_uncertainty_score":0.17225838},"labels":[],"label_agreement":null},{"id":"W1996653369","doi":"10.1007/s10681-014-1253-7","title":"How many test locations and replications are needed in crop variety trials for a target region?","year":2014,"lang":"en","type":"article","venue":"Euphytica","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Sigma; Grain yield; Statistics; Combinatorics; Yield (engineering); Crop; Mathematics; Genotype; Horticulture; Biology; Physics; Genetics; Agronomy","score_opus":0.09400866487008325,"score_gpt":0.25110146473286943,"score_spread":0.15709279986278618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996653369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59526557,0.010118992,0.35334778,0.017715985,0.0021683548,0.0027432367,0.0027905293,0.006659226,0.0091903135],"genre_scores_gemma":[0.56967807,0.0013723937,0.41844407,0.0038568072,0.00067847053,0.002351556,0.0010162374,0.00082244066,0.0017799704],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.95654774,0.02977669,0.0033729305,0.0054965722,0.003856782,0.0009492548],"domain_scores_gemma":[0.7423427,0.18748324,0.0192257,0.02562895,0.016887333,0.0084321],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.049020816,0.0012934062,0.0047355057,0.0011701421,0.00182151,0.0023914967,0.00391686,0.0046209083,0.004206768],"category_scores_gemma":[0.124608494,0.0017516061,0.0028020658,0.0013982974,0.0019833455,0.009933708,0.0013609533,0.0028371557,0.002381009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01409751,0.006275891,0.1534878,0.0046000117,0.0035787707,0.0020748395,0.0024460307,0.046385285,0.12194396,0.0048275683,0.02126058,0.6190218],"study_design_scores_gemma":[0.00702651,0.020781182,0.6287421,0.0019362535,0.00514479,0.0052297446,0.007586496,0.1262077,0.06991091,0.055479676,0.07055382,0.0014008916],"about_ca_topic_score_codex":0.0064368094,"about_ca_topic_score_gemma":0.018679302,"teacher_disagreement_score":0.9509792,"about_ca_system_score_codex":0.0016373753,"about_ca_system_score_gemma":0.002537139,"threshold_uncertainty_score":0.25924993},"labels":[],"label_agreement":null},{"id":"W1996824277","doi":"10.2135/cropsci2005.0170","title":"Defining Sunflower Selection Strategies for a Highly Heterogeneous Target Population of Environments","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biology; Sunflower; Selection (genetic algorithm); Helianthus annuus; Population; Hybrid; Predictability; Adaptation (eye); Local adaptation; Contrast (vision); Statistics; Agronomy; Computer science; Mathematics; Artificial intelligence","score_opus":0.01759041217493157,"score_gpt":0.2208439264260088,"score_spread":0.20325351425107724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996824277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98915696,0.00010249432,0.009898126,0.00001865754,0.0000021630299,0.000041805117,0.00017529269,0.00004437329,0.00056018116],"genre_scores_gemma":[0.9731011,0.00006899167,0.025581269,0.000035785888,0.0000032641753,0.000101288046,0.00078180706,0.000036926394,0.00028955363],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871063,0.00053698773,0.00006390302,0.000504978,0.00010291755,0.000080635284],"domain_scores_gemma":[0.9989318,0.00042689338,0.00022695729,0.00021918383,0.000113263755,0.000081897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020835567,0.00043823497,0.00056936656,0.0005069985,0.0003574276,0.0006706633,0.0006169389,0.00025573003,0.000501884],"category_scores_gemma":[0.0016588941,0.00012374524,0.0003976056,0.00050493336,0.00029157405,0.00055066147,0.0005847678,0.00027631276,0.00013515557],"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":[0.00097357645,0.00053941517,0.6080643,0.00021009316,0.0005537504,0.00026071718,0.00090388086,0.024720123,0.1837253,0.0009308556,0.0007096476,0.17840834],"study_design_scores_gemma":[0.00009939781,0.001047947,0.92538583,0.000037389385,0.0002787077,0.00019767124,0.0009540779,0.047952168,0.01890545,0.0014663527,0.0036215496,0.00005338455],"about_ca_topic_score_codex":0.0028229915,"about_ca_topic_score_gemma":0.01190135,"teacher_disagreement_score":0.0028229915,"about_ca_system_score_codex":0.00050898717,"about_ca_system_score_gemma":0.0004644554,"threshold_uncertainty_score":0.011019051},"labels":[],"label_agreement":null},{"id":"W1997056277","doi":"10.1139/g11-066","title":"Heterosis for carotenoid concentration and profile in maize hybrids","year":2011,"lang":"en","type":"article","venue":"Genome","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Hybrid; Heterosis; Carotenoid; Zea mays; Genetics; Biotechnology; Botany; Agronomy","score_opus":0.049865148178855276,"score_gpt":0.18631648547112664,"score_spread":0.13645133729227138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997056277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624556,0.00016250646,0.0015349815,0.000033501317,0.0000070679243,0.000010943863,0.00024876284,0.00007923627,0.001677268],"genre_scores_gemma":[0.9966408,0.0000756937,0.0006656286,0.000035398312,0.0000033940548,0.000011024227,0.00032796978,0.000043296695,0.0021967224],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995975,0.000041669453,0.00003671468,0.00015481091,0.000118865755,0.000050399754],"domain_scores_gemma":[0.99957293,0.00009343327,0.00012644607,0.000079974896,0.000029587438,0.000097731005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022111174,0.000298528,0.0002025506,0.0005496271,0.00019692874,0.0003841635,0.0002959159,0.00027885952,0.001503792],"category_scores_gemma":[0.00018377599,0.00024226887,0.00022374422,0.00023689194,0.0002620084,0.00016851549,0.00066337956,0.00052971346,0.0002793984],"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":[0.00004689704,0.00000958329,0.00051582494,0.000006236674,0.000006714453,0.000043067,0.000018793206,0.000018548872,0.99855536,0.000079309844,0.000008001521,0.000691739],"study_design_scores_gemma":[0.000044074008,0.00034102477,0.15026125,0.000010659433,0.00009397175,0.0015325157,0.0001415486,0.0012019451,0.84255356,0.00030132075,0.003479737,0.000038346396],"about_ca_topic_score_codex":0.000897992,"about_ca_topic_score_gemma":0.0018871498,"teacher_disagreement_score":0.001503792,"about_ca_system_score_codex":0.0004029411,"about_ca_system_score_gemma":0.00020248997,"threshold_uncertainty_score":0.0050306916},"labels":[],"label_agreement":null},{"id":"W2000502341","doi":"10.2134/agronj2010.0340","title":"Dry Bean Response to Salinity in Southern Manitoba","year":2011,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Tetra Tech (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Salinity; Soil salinity; Phaseolus; Agronomy; Biomass (ecology); Environmental science; Dry weight; Crop; Dry bean; Biology; Ecology","score_opus":0.057949630851997,"score_gpt":0.20505178758033415,"score_spread":0.14710215672833715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000502341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993032,0.000077689205,0.000065926106,0.00003626968,0.0000017259246,0.0000056141926,0.00010092347,0.0000068420404,0.00040178845],"genre_scores_gemma":[0.9983741,0.00016850074,0.00021326468,0.00008104702,0.0000013628036,0.000011710244,0.00029533682,0.00000446818,0.0008502842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999088,0.000012618416,0.000004390347,0.000026682377,0.000021653927,0.000025819134],"domain_scores_gemma":[0.9997423,0.000022199241,0.00006273302,0.0000123734735,0.000096495336,0.000063888736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018616256,0.00031120304,0.00021179204,0.00056612946,0.0007441346,0.00047257775,0.00029837064,0.0001791499,0.0005874374],"category_scores_gemma":[0.00027944875,0.00026780253,0.00016096643,0.0007609142,0.00046094696,0.00010641751,0.00042607324,0.00021807566,0.00011944585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003257737,0.00006489114,0.806349,0.00008631255,0.00009529041,0.00061614864,0.0031242855,0.0004751582,0.18070407,0.00007831755,0.00023481903,0.00784584],"study_design_scores_gemma":[0.0000052200417,0.00005578664,0.9970392,0.000005407111,0.000013748414,0.000070804905,0.00088719686,0.00015026295,0.001242989,0.000011016567,0.0005131133,0.000005306596],"about_ca_topic_score_codex":0.6479877,"about_ca_topic_score_gemma":0.8782919,"teacher_disagreement_score":0.35201228,"about_ca_system_score_codex":0.0037068862,"about_ca_system_score_gemma":0.002125474,"threshold_uncertainty_score":0.70817065},"labels":[],"label_agreement":null},{"id":"W2000542182","doi":"10.4236/ajps.2015.61021","title":"Decrease in Lysine and Tryptophan Content in S2 Inbred Lines from a Quality Protein Maize (QPM) Variety in a Breeding Program","year":2015,"lang":"en","type":"article","venue":"American Journal of Plant Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Inbred strain; Biology; Lysine; Tryptophan; Population; Biotechnology; Agronomy; Amino acid; Genetics; Gene; Medicine","score_opus":0.15023702734919414,"score_gpt":0.2823943194508324,"score_spread":0.13215729210163824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000542182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99902046,0.000051278676,0.00048377606,0.000010318739,0.00000275177,0.0000102890335,0.00019759088,0.000009655113,0.00021391296],"genre_scores_gemma":[0.9955005,0.000112093105,0.0011176387,0.000028765879,0.000003367146,0.000026733647,0.00095196033,0.000020937365,0.002237905],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998977,0.000015822652,0.000012787805,0.000031455133,0.000028883851,0.000013426334],"domain_scores_gemma":[0.99981517,0.000022830392,0.00005698371,0.000016969827,0.000023046787,0.000065136745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016154996,0.00030225443,0.00015555933,0.00048079333,0.00022150064,0.00018004912,0.00017089446,0.00018636628,0.000929253],"category_scores_gemma":[0.00011872161,0.000118253854,0.00027284335,0.00023705144,0.00015734622,0.00010995077,0.0001839122,0.00038065814,0.00013613768],"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":[0.00007695637,0.000027749986,0.0013061876,0.000008059187,0.0000090406365,0.000047829526,0.000041897874,0.000018877054,0.9979413,0.000034069097,0.00000822636,0.00047980566],"study_design_scores_gemma":[0.00006547712,0.0020999538,0.3005312,0.000012560737,0.00013727388,0.0010451367,0.00030810386,0.0009492059,0.69150186,0.00009912676,0.0032149907,0.00003519223],"about_ca_topic_score_codex":0.001590732,"about_ca_topic_score_gemma":0.0025324083,"teacher_disagreement_score":0.001590732,"about_ca_system_score_codex":0.00024205,"about_ca_system_score_gemma":0.000179113,"threshold_uncertainty_score":0.0031629205},"labels":[],"label_agreement":null},{"id":"W2001006266","doi":"10.4141/cjps2011-162","title":"Selecting high yielding and stable mungbean [<i>Vigna radiata</i>(L.) Wilczek] genotypes using GGE biplot techniques","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":18,"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":"Biplot; Vigna; Radiata; Genotype; Gene–environment interaction; Biology; Yield (engineering); Agronomy; Veterinary medicine; Biotechnology; Genetics; Medicine","score_opus":0.03204978709519349,"score_gpt":0.19601052128107568,"score_spread":0.1639607341858822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001006266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99430025,0.00020059837,0.004067308,0.000029501423,0.000010954707,0.00010394657,0.00070263946,0.00009393612,0.0004908073],"genre_scores_gemma":[0.94709074,0.000490453,0.04644882,0.00007807781,0.000006976182,0.00032038055,0.0031617698,0.00012366626,0.002279056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996661,0.00008183098,0.000039549373,0.00010396169,0.000068400004,0.000040197938],"domain_scores_gemma":[0.99973863,0.000067951645,0.00008427864,0.000022434011,0.000030914205,0.000055824537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064262666,0.00049484987,0.00061785954,0.00089216867,0.00039026944,0.00042149232,0.00038850473,0.0001771401,0.0008603147],"category_scores_gemma":[0.00023902116,0.0002105682,0.00054361887,0.0008643204,0.00016398643,0.00017201889,0.0003235108,0.000517023,0.00025417894],"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":[0.00092848804,0.000433655,0.0079671005,0.00016112691,0.00008078745,0.00019764325,0.00021950572,0.00061341433,0.9713246,0.0000908654,0.00019011769,0.017792515],"study_design_scores_gemma":[0.00021379735,0.0038583165,0.75047225,0.00003757415,0.00026916273,0.0007651268,0.000503891,0.004889333,0.23166725,0.00018703127,0.0070121014,0.00012410867],"about_ca_topic_score_codex":0.002379579,"about_ca_topic_score_gemma":0.006098461,"teacher_disagreement_score":0.002379579,"about_ca_system_score_codex":0.0004499202,"about_ca_system_score_gemma":0.0003053396,"threshold_uncertainty_score":0.0047314763},"labels":[],"label_agreement":null},{"id":"W2001762901","doi":"10.1007/s10681-008-9862-7","title":"Investigation of long-term field experiments on response of breeding lines to common scab in a potato breeding program","year":2008,"lang":"en","type":"article","venue":"Euphytica","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Common scab; Restricted maximum likelihood; Best linear unbiased prediction; Biology; Breeding program; Heritability; Mixed model; Population; Random effects model; Statistics; Biotechnology; Plant breeding; Selection (genetic algorithm); Agronomy; Mathematics; Cultivar; Genetics; Maximum likelihood; Demography; Computer science; Meta-analysis","score_opus":0.08741912548477487,"score_gpt":0.28401151302886274,"score_spread":0.19659238754408787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001762901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932754,0.00005752122,0.000273317,0.000015012149,0.000008175331,0.000035412795,0.000080292,0.000010169562,0.0001926004],"genre_scores_gemma":[0.9955676,0.00008389789,0.0008180494,0.00012767097,0.000016657255,0.0002735215,0.00083939545,0.000023176339,0.0022499643],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995105,0.00015057983,0.000032946522,0.00017262252,0.00006460344,0.0000686345],"domain_scores_gemma":[0.9966061,0.0011692116,0.00045569477,0.0003840278,0.0005111284,0.0008738678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008756863,0.00049204985,0.0007787481,0.0004046076,0.0010439652,0.00041128,0.00055427646,0.00061822037,0.0010248828],"category_scores_gemma":[0.0012933181,0.00029942245,0.0004476417,0.00024412293,0.00048790383,0.00051273295,0.0004501692,0.0015804869,0.00023888561],"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":[0.0072292625,0.007917179,0.05229978,0.00012400346,0.00017948814,0.00022530102,0.00078720064,0.00037604844,0.92169327,0.00010339458,0.00024663337,0.008818403],"study_design_scores_gemma":[0.00046853945,0.05383345,0.729121,0.000038600498,0.00059846323,0.00048049528,0.0014159998,0.0022944864,0.2087324,0.0002474555,0.0026817028,0.000087509026],"about_ca_topic_score_codex":0.002624204,"about_ca_topic_score_gemma":0.0067686867,"teacher_disagreement_score":0.002624204,"about_ca_system_score_codex":0.00078803796,"about_ca_system_score_gemma":0.0005061315,"threshold_uncertainty_score":0.005717635},"labels":[],"label_agreement":null},{"id":"W2001888653","doi":"10.2135/cropsci2000.4017","title":"Selection Response in Subdivided Target Regions","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph; University of Saskatchewan; Nova Scotia Department of Agriculture","funders":"","keywords":"Biology; Heritability; Selection (genetic algorithm); Genotype; Subdivision; Genetics; Statistics; Correlation; Adaptation (eye); Evolutionary biology; Mathematics; Gene","score_opus":0.028754691470932583,"score_gpt":0.22310776273871996,"score_spread":0.1943530712677874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001888653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92666686,0.00014913335,0.067444816,0.000060840128,0.00001410076,0.00013817633,0.00030934258,0.00043607512,0.0047806827],"genre_scores_gemma":[0.98692805,0.00003530253,0.010637597,0.00008230895,0.0000028858778,0.00011829938,0.00026575735,0.0001258702,0.0018039249],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888843,0.00029221913,0.00005985718,0.00053524354,0.0001180805,0.00010608619],"domain_scores_gemma":[0.997773,0.000843705,0.00036573978,0.0006486554,0.00023856157,0.0001303005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013354727,0.0004806428,0.00090451003,0.00036490647,0.00031015626,0.00095072907,0.0010789323,0.0005491802,0.0036546947],"category_scores_gemma":[0.002144351,0.00034187228,0.0011100295,0.0005058822,0.00068523525,0.0005669927,0.0014552091,0.0009420059,0.0007200879],"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":[0.0021404994,0.0006508519,0.086650714,0.00037516106,0.0004473566,0.0004511513,0.0010781572,0.09623667,0.7482907,0.0099000605,0.0007163241,0.053062353],"study_design_scores_gemma":[0.00032832217,0.0051292777,0.49018148,0.0000781774,0.00062473514,0.001023398,0.00073847343,0.38350677,0.088314764,0.019663554,0.0102222245,0.00018880982],"about_ca_topic_score_codex":0.002398541,"about_ca_topic_score_gemma":0.0033738713,"teacher_disagreement_score":0.0036546947,"about_ca_system_score_codex":0.0009854325,"about_ca_system_score_gemma":0.00041607863,"threshold_uncertainty_score":0.012226164},"labels":[],"label_agreement":null},{"id":"W2008880592","doi":"10.1007/s10722-011-9775-5","title":"Focused identification of germplasm strategy (FIGS) detects wheat stem rust resistance linked to environmental variables","year":2011,"lang":"en","type":"article","venue":"Genetic Resources and Crop Evolution","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":132,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nordic Life Science Pipeline (Canada)","funders":"","keywords":"Germplasm; Biology; Trait; Identification (biology); Stem rust; Principal component analysis; Linear model; Predictive modelling; Support vector machine; Statistics; Biotechnology; Machine learning; Resistance (ecology); Mathematics; Computer science; Ecology; Agronomy","score_opus":0.025002301604030854,"score_gpt":0.17406233022175696,"score_spread":0.1490600286177261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008880592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965982,0.00008794712,0.002418005,0.000016241049,0.00000707782,0.0000129406535,0.00023103016,0.000027513974,0.000601037],"genre_scores_gemma":[0.9949993,0.00006017911,0.0036550323,0.000065571156,0.000004336087,0.000018385983,0.0006415121,0.000031745414,0.000523926],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997452,0.000053328884,0.000015696362,0.00011923052,0.00003110483,0.00003536103],"domain_scores_gemma":[0.9996257,0.00013040607,0.00008552371,0.00004087817,0.000035489837,0.000081987884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029729673,0.0003029942,0.00024589009,0.000672218,0.00012412116,0.00029319135,0.00028564507,0.00031936186,0.0014570778],"category_scores_gemma":[0.00044147274,0.00015005916,0.00021983199,0.00029917393,0.00014628336,0.00020417238,0.00026461246,0.00038531833,0.00018140321],"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":[0.00019123976,0.000052313717,0.018796,0.000019590385,0.000029553443,0.000054796597,0.00004195451,0.00005911244,0.97616607,0.00016997574,0.00003970658,0.004379689],"study_design_scores_gemma":[0.000055622684,0.0010437657,0.78610194,0.000016107218,0.00022653997,0.00091777305,0.0002501545,0.0025581177,0.20658202,0.00041672043,0.0018106145,0.00002062287],"about_ca_topic_score_codex":0.00038936254,"about_ca_topic_score_gemma":0.0012262885,"teacher_disagreement_score":0.0014570778,"about_ca_system_score_codex":0.00018214608,"about_ca_system_score_gemma":0.00013546522,"threshold_uncertainty_score":0.0048743486},"labels":[],"label_agreement":null},{"id":"W2008931565","doi":"10.1111/ppa.12252","title":"A comparison between visual estimates and image analysis measurements to determine septoria leaf blotch severity in winter wheat","year":2014,"lang":"en","type":"article","venue":"Plant Pathology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Septoria; Concordance; Statistics; Reliability (semiconductor); Range (aeronautics); Mathematics; Biology; Correlation; Agronomy","score_opus":0.06294435149663502,"score_gpt":0.28555285151957244,"score_spread":0.22260850002293742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008931565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96891844,0.0011471505,0.02646469,0.000041136398,0.000048323516,0.000093814095,0.00022514793,0.00013897708,0.002922312],"genre_scores_gemma":[0.9852401,0.00024211545,0.013719941,0.000041138566,0.000022371174,0.000045263263,0.00022178979,0.000028784281,0.00043856414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99348164,0.0028857747,0.00045561805,0.0008423133,0.002189186,0.0001454956],"domain_scores_gemma":[0.97847486,0.0109319985,0.0037577492,0.0015967571,0.0048247147,0.00041386147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009731521,0.0006571772,0.0003447117,0.0027722758,0.0003323206,0.00087678456,0.00059003296,0.00055440905,0.00035220836],"category_scores_gemma":[0.020889346,0.0004920175,0.0004931636,0.0008592174,0.00043952087,0.0007106859,0.0007930607,0.00041073305,0.00019168099],"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":[0.0026037812,0.00025514892,0.76494557,0.0007579831,0.0009962493,0.00018078486,0.0029793242,0.0040404033,0.10183564,0.00032900128,0.00054667325,0.12052946],"study_design_scores_gemma":[0.000029266008,0.0010485529,0.9718603,0.000054675314,0.00014905955,0.0004028306,0.00039056898,0.012583445,0.012723339,0.00017016902,0.0005321564,0.00005574391],"about_ca_topic_score_codex":0.0031025435,"about_ca_topic_score_gemma":0.004839722,"teacher_disagreement_score":0.009731521,"about_ca_system_score_codex":0.0005258745,"about_ca_system_score_gemma":0.00025081178,"threshold_uncertainty_score":0.05146581},"labels":[],"label_agreement":null},{"id":"W2010265013","doi":"10.2135/cropsci2003.1652","title":"Effect of Recurrent Selection on Combining Ability in Maize Breeding Populations","year":2003,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Diallel cross; Biology; Selection (genetic algorithm); Population; Grain yield; Additive genetic effects; Genetic variation; Genetic gain; Allele; Directional selection; Zea mays; Agronomy; Genetics; Heritability; Hybrid; Demography; Gene","score_opus":0.04581604640891097,"score_gpt":0.2742818149244925,"score_spread":0.22846576851558154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010265013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998814,0.00007667057,0.0005362979,0.000007777905,0.0000011681603,0.000006849905,0.000024009028,0.000023824165,0.0005093955],"genre_scores_gemma":[0.99844307,0.00006270989,0.0010265344,0.000017082923,0.000005458057,0.000009810525,0.00014546057,0.000016135195,0.00027379298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986456,0.0005533681,0.000104414285,0.00026841817,0.00029361728,0.00013465068],"domain_scores_gemma":[0.99816716,0.0005147729,0.00036482784,0.0003810733,0.0002267896,0.0003453027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013080261,0.000404554,0.00044871983,0.00069670024,0.00032248386,0.0004146239,0.00035453402,0.00021257011,0.00080736045],"category_scores_gemma":[0.0022505652,0.00019412558,0.00042931814,0.0004973801,0.0005085296,0.00022066043,0.0007479539,0.00043269008,0.00014247248],"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":[0.001144656,0.00016117831,0.08614455,0.000060704766,0.00052824,0.0003136348,0.0007784677,0.0022114862,0.86869544,0.0007343551,0.000103816434,0.039123517],"study_design_scores_gemma":[0.00011362898,0.0032066102,0.9419546,0.000018856705,0.00061372784,0.000914758,0.00019221992,0.005561715,0.04435643,0.00060510414,0.0023862969,0.000076040655],"about_ca_topic_score_codex":0.0020507826,"about_ca_topic_score_gemma":0.0037488367,"teacher_disagreement_score":0.0020507826,"about_ca_system_score_codex":0.00046883457,"about_ca_system_score_gemma":0.00036123034,"threshold_uncertainty_score":0.006917596},"labels":[],"label_agreement":null},{"id":"W2012336507","doi":"10.2478/botlit-2014-0003","title":"Interrelationships Among some Morphological Traits of Wheat (Triticum Aestivum L.) Cultivars using Biplot","year":2014,"lang":"en","type":"article","venue":"Botanica Lithuanica","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Biplot; Cultivar; Agronomy; Biology; Grain yield; Trait; Yield (engineering); Mathematics; Genotype; Computer science","score_opus":0.047387961195274976,"score_gpt":0.22639746122703322,"score_spread":0.17900950003175825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012336507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8919885,0.0006565406,0.06321483,0.00017863781,0.00018562004,0.0002896394,0.034967974,0.005794086,0.002724104],"genre_scores_gemma":[0.9005505,0.00016442155,0.063736536,0.00006284852,0.000026557787,0.0007661046,0.031708963,0.00067193445,0.00231224],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984421,0.00046351936,0.00010959748,0.00052098656,0.00032684804,0.00013697804],"domain_scores_gemma":[0.9970282,0.0015578764,0.00033925922,0.00024222754,0.00068020227,0.00015234937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014314464,0.0010766955,0.0011840537,0.0021006165,0.00043269008,0.0011278534,0.00046851067,0.00022830088,0.0058777323],"category_scores_gemma":[0.003565818,0.00020638568,0.000884236,0.0027513641,0.00020645752,0.00037361286,0.00040073143,0.0008601578,0.0011100518],"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":[0.013159207,0.0023339381,0.3474231,0.0018151611,0.0029100312,0.0011210213,0.0018483283,0.016112497,0.16751106,0.0011350542,0.045541227,0.39908937],"study_design_scores_gemma":[0.000137,0.001685607,0.89432544,0.00012308412,0.0003227818,0.00039928957,0.0007743454,0.066789284,0.01918952,0.0007249995,0.015352736,0.00017589421],"about_ca_topic_score_codex":0.0022161165,"about_ca_topic_score_gemma":0.0018896438,"teacher_disagreement_score":0.0058777323,"about_ca_system_score_codex":0.0003110805,"about_ca_system_score_gemma":0.0004206243,"threshold_uncertainty_score":0.019662976},"labels":[],"label_agreement":null},{"id":"W2015470668","doi":"10.1111/j.1601-5223.1967.tb02114.x","title":"FERTILITY AND HETEROSIS IN TETRAPLOID BARLEY","year":2009,"lang":"en","type":"article","venue":"Hereditas","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Heterosis; Ising model; Citation; Biology; Fertility; Library science; Sociology; Computer science; Demography; Physics; Population; Statistical physics; Botany","score_opus":0.018226752193393925,"score_gpt":0.18918811334564428,"score_spread":0.17096136115225036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015470668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989819,0.00021905938,0.00020569836,0.000021765012,0.0000035739886,0.0000017134503,0.00012246995,0.00001022099,0.00043355027],"genre_scores_gemma":[0.9981427,0.00008274577,0.00008120461,0.000017581973,0.000003898643,0.0000034661593,0.00027085998,0.000014693959,0.0013827546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986947,0.000022465381,0.0000140263755,0.000043268934,0.000027497585,0.000023129422],"domain_scores_gemma":[0.99965084,0.00009496979,0.00008246508,0.00003434759,0.000020805272,0.00011653066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281342,0.00021359367,0.00026799718,0.00069255155,0.00030335868,0.0004233832,0.00033000798,0.00028408968,0.0015886008],"category_scores_gemma":[0.00028389014,0.00021957034,0.0002242397,0.00033610823,0.00040554884,0.0004212477,0.00047724773,0.00058562594,0.00022769286],"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":[0.000500101,0.00005018699,0.0057532047,0.000024896519,0.000032278553,0.00022321449,0.00017423116,0.00014989829,0.99002784,0.0004820693,0.000036520763,0.0025456303],"study_design_scores_gemma":[0.00013757263,0.00094155193,0.72375774,0.000015846876,0.00012225115,0.0027301072,0.0007685958,0.0019963025,0.26539028,0.0017268924,0.0023408511,0.00007201044],"about_ca_topic_score_codex":0.0029816877,"about_ca_topic_score_gemma":0.0027250422,"teacher_disagreement_score":0.0029816877,"about_ca_system_score_codex":0.00084949576,"about_ca_system_score_gemma":0.00030168958,"threshold_uncertainty_score":0.006163597},"labels":[],"label_agreement":null},{"id":"W2016126142","doi":"10.5539/jas.v6n12p126","title":"Farmers’ Perceptions of Finger Millet Production Constraints, Varietal Preferences and Their Implications to Finger Millet Breeding in Uganda","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":31,"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":"Cultivar; Finger millet; Agriculture; Food security; Participatory rural appraisal; Cash crop; Biology; Agronomy","score_opus":0.024052053752706096,"score_gpt":0.2172382286834204,"score_spread":0.19318617493071433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016126142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991054,0.00008319916,0.000032170767,0.00014118291,0.0000016781993,0.000005015336,0.0000099611725,5.45625e-7,0.0006207826],"genre_scores_gemma":[0.99954224,0.0001215658,0.000047929974,0.00003541233,0.0000012254951,0.0000072133507,0.000005569056,4.5897463e-7,0.00023838365],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.999196,0.00039916902,0.000050490184,0.00005805275,0.0000954694,0.00020089],"domain_scores_gemma":[0.9981164,0.0007669411,0.0005692735,0.00003096316,0.00017075047,0.00034581305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011717197,0.00020928298,0.000239627,0.0004147107,0.0017109017,0.0011161898,0.00025494103,0.00040667757,0.0025987246],"category_scores_gemma":[0.0032546762,0.00026816997,0.0001395139,0.00055030704,0.00093075755,0.00076994527,0.0010726025,0.00048749775,0.00016072503],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039423115,0.00022709435,0.6142218,0.00046887333,0.00004320996,0.005572508,0.33842355,0.00030917497,0.006489801,0.00092445704,0.0009944444,0.031930916],"study_design_scores_gemma":[0.000016121494,0.000486973,0.4209143,0.00018601873,0.000027037044,0.0008633404,0.5714499,0.00041854373,0.00037262245,0.00054734305,0.004662819,0.00005506475],"about_ca_topic_score_codex":0.009795247,"about_ca_topic_score_gemma":0.014958647,"teacher_disagreement_score":0.009795247,"about_ca_system_score_codex":0.00071879243,"about_ca_system_score_gemma":0.0005951605,"threshold_uncertainty_score":0.019476473},"labels":[],"label_agreement":null},{"id":"W2021086301","doi":"10.2135/cropsci2014.03.0203","title":"Mega‐environment Analysis and Test Location Evaluation Based on Unbalanced Multiyear Data","year":2014,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Variety (cybernetics); Statistics; Mega-; Computer science; Biology; Data mining; Mathematics; Genotype; Genetics","score_opus":0.05568089528776104,"score_gpt":0.2489252226860636,"score_spread":0.19324432739830255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021086301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5731567,0.00013011195,0.41152248,0.0001353664,0.000071678674,0.00064248097,0.0076796697,0.0029171975,0.0037442876],"genre_scores_gemma":[0.72762704,0.000040152652,0.26355892,0.000034525725,0.000012146559,0.00068442384,0.0066273995,0.00041755952,0.0009978794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9873554,0.009126041,0.0006113364,0.0011381119,0.0013861173,0.0003829873],"domain_scores_gemma":[0.9598358,0.025537102,0.0033632854,0.005383903,0.0051309415,0.0007488922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012713008,0.0005856507,0.0010813747,0.0030522149,0.00062821404,0.0012942429,0.0011326267,0.00037134386,0.0042412146],"category_scores_gemma":[0.032821808,0.00037914593,0.0013907262,0.0035718137,0.00053571694,0.0009423883,0.0016139207,0.0010353768,0.00051034766],"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":[0.0056793424,0.00067144475,0.42081386,0.0006268606,0.0023252824,0.0011245998,0.0019632073,0.14985359,0.030022517,0.014106663,0.012533409,0.3602792],"study_design_scores_gemma":[0.0003240863,0.0018747939,0.48690367,0.000078264355,0.00048393017,0.00029085972,0.001557853,0.46568394,0.015332013,0.007854592,0.019381464,0.0002345875],"about_ca_topic_score_codex":0.007143445,"about_ca_topic_score_gemma":0.012764588,"teacher_disagreement_score":0.012713008,"about_ca_system_score_codex":0.0011867214,"about_ca_system_score_gemma":0.00088665227,"threshold_uncertainty_score":0.06723356},"labels":[],"label_agreement":null},{"id":"W2021669529","doi":"10.1007/s11056-006-9018-3","title":"Predicting individual breeding values and making forward selections from open-pollinated progeny test trials for seed orchard establishment of interior Lodgepole Pine (Pinus contorta ssp. latifolia) in British Columbia","year":2006,"lang":"en","type":"article","venue":"New Forests","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Seed orchard; Biology; Pinus contorta; Inbreeding; Population; Genetic gain; Heritability; Open pollination; Tree breeding; Botany; Woody plant; Ecology; Agronomy; Genetic variation; Demography; Pollen; Pollination","score_opus":0.054995801991427305,"score_gpt":0.27153527420053286,"score_spread":0.21653947220910555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021669529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991817,0.000028977101,0.00025143026,0.000007607721,7.107299e-7,0.0000071622467,0.00018326321,0.0000071528816,0.00033210864],"genre_scores_gemma":[0.99823534,0.00003293755,0.0008702362,0.000006793801,6.4819386e-7,0.00000613227,0.000466867,0.000004864497,0.00037631203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996215,0.00012729276,0.00002729325,0.000081522936,0.00009328707,0.000049092912],"domain_scores_gemma":[0.99811894,0.0010286652,0.00023032067,0.00008408738,0.0003257609,0.0002121079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008477108,0.00024823032,0.00016152208,0.00074057933,0.00038900523,0.0005671711,0.0004741141,0.00019377681,0.00063592877],"category_scores_gemma":[0.0025867217,0.00014685861,0.00010319911,0.0004527041,0.00022595601,0.00020294999,0.00015714155,0.00022343681,0.00019382594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008547217,0.00005893866,0.9795679,0.000010111151,0.000033844623,0.00006065811,0.00017080575,0.0011989977,0.0032092074,0.000021253358,0.00018283114,0.015399979],"study_design_scores_gemma":[0.0000050397243,0.000030980238,0.99580234,0.0000041078697,0.000019445913,0.000028971066,0.00015838277,0.0031088237,0.0006798041,0.000024279336,0.0001335333,0.0000043470795],"about_ca_topic_score_codex":0.40060753,"about_ca_topic_score_gemma":0.82492924,"teacher_disagreement_score":0.5993925,"about_ca_system_score_codex":0.0015644998,"about_ca_system_score_gemma":0.0010008786,"threshold_uncertainty_score":0.79655147},"labels":[],"label_agreement":null},{"id":"W2024544257","doi":"10.2135/cropsci2003.2018","title":"Genetic Components of Yield Stability in Maize Breeding Populations","year":2003,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diallel cross; Biology; Agronomy; Selection (genetic algorithm); Trait; Population; Stability (learning theory); Grain yield; Additive genetic effects; Plant breeding; Genetic gain; Genetic variability; Genetic variation; Biotechnology; Genetics; Genotype; Heritability; Gene; Hybrid","score_opus":0.14555614512094134,"score_gpt":0.24981477125230675,"score_spread":0.10425862613136541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024544257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994311,0.00004968161,0.00036423438,0.000003767624,2.5882218e-7,0.0000030714314,0.00004063334,0.0000074533605,0.000099850964],"genre_scores_gemma":[0.9991666,0.000033499306,0.00051638356,0.0000038306307,0.0000014313721,0.0000056527488,0.000179598,0.000005614817,0.00008739803],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99970895,0.00005268356,0.00002583237,0.000106114414,0.00007694394,0.000029354043],"domain_scores_gemma":[0.9995908,0.00009783627,0.00015245745,0.000047036505,0.00006263289,0.00004925695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045241462,0.00019709104,0.00023558058,0.0008770043,0.00024226426,0.00032716576,0.00023550467,0.00017525059,0.00028765213],"category_scores_gemma":[0.00103027,0.00018528473,0.00021795552,0.0005624078,0.0003052424,0.00014531214,0.00033017603,0.00023493594,0.000053708824],"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":[0.0007429671,0.00005864171,0.21604502,0.00003910816,0.00024129078,0.00014786879,0.0007529138,0.001661485,0.7633654,0.0005439013,0.00004520659,0.016356206],"study_design_scores_gemma":[0.000015368634,0.00021433385,0.98797977,0.000002650855,0.000063161315,0.0001204234,0.00006238994,0.0018391585,0.009308458,0.00020095974,0.00017950994,0.00001379255],"about_ca_topic_score_codex":0.0032245957,"about_ca_topic_score_gemma":0.003626975,"teacher_disagreement_score":0.0032245957,"about_ca_system_score_codex":0.00047671827,"about_ca_system_score_gemma":0.00022271834,"threshold_uncertainty_score":0.006411612},"labels":[],"label_agreement":null},{"id":"W2025720841","doi":"10.2134/agronj2002.9900","title":"Singular‐Value Partitioning in Biplot Analysis of Multienvironment Trial Data","year":2002,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":476,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Scaling; Multidimensional scaling; Eigenvalues and eigenvectors; Genotype; Ranking (information retrieval); Gene–environment interaction; Mathematics; Statistics; Biology; Computer science; Genetics; Artificial intelligence; Physics; Geometry","score_opus":0.1072097451758375,"score_gpt":0.23184927555125145,"score_spread":0.12463953037541395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025720841","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":[0.1270099,0.00035727522,0.8640993,0.000115319686,0.0001337784,0.0006629684,0.002344198,0.0038310338,0.001446286],"genre_scores_gemma":[0.29020125,0.00018277227,0.700526,0.00006247659,0.000040489464,0.0015355834,0.0051601767,0.001338009,0.0009532772],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9909888,0.0055391006,0.0007284073,0.0010100211,0.0014429922,0.0002906534],"domain_scores_gemma":[0.98460555,0.009718249,0.0010663838,0.0020950548,0.0022530975,0.00026167498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0083876485,0.0011312104,0.0012720332,0.0038148349,0.000732547,0.0017379872,0.00077237334,0.00035713948,0.0030338056],"category_scores_gemma":[0.024838578,0.00031183296,0.0012255494,0.004909541,0.00059861655,0.0008872718,0.00094688084,0.0010173847,0.001082394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024249922,0.0007817246,0.03404406,0.0013659078,0.00072069984,0.0004915592,0.002177423,0.048693392,0.043654144,0.008387829,0.011738585,0.84551966],"study_design_scores_gemma":[0.00034954882,0.002067453,0.19671264,0.00028135075,0.00026881878,0.00067329855,0.0018814665,0.6880991,0.03524032,0.042841077,0.031105071,0.00047985336],"about_ca_topic_score_codex":0.0031429003,"about_ca_topic_score_gemma":0.002697419,"teacher_disagreement_score":0.0083876485,"about_ca_system_score_codex":0.000547586,"about_ca_system_score_gemma":0.00088931114,"threshold_uncertainty_score":0.04435867},"labels":[],"label_agreement":null},{"id":"W2027635134","doi":"10.2135/cropsci2011.01.0016","title":"Assessing the Representativeness and Repeatability of Test Locations for Genotype Evaluation","year":2011,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Representativeness heuristic; Repeatability; Biplot; Biology; Selection (genetic algorithm); Genotype; Gene–environment interaction; Statistics; Adaptation (eye); Biotechnology; Computer science; Genetics; Mathematics; Machine learning","score_opus":0.2349254148040905,"score_gpt":0.35401436470561604,"score_spread":0.11908894990152555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027635134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92053217,0.00017822358,0.07592628,0.000024281288,0.0000267219,0.0002219611,0.00091846514,0.0006666649,0.0015052272],"genre_scores_gemma":[0.95612407,0.000031715146,0.04260689,0.000010980968,0.000005410223,0.0001376208,0.00061202754,0.00007542341,0.00039587604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995116,0.002088886,0.000533391,0.0006496019,0.0013878508,0.000224296],"domain_scores_gemma":[0.9750131,0.010266658,0.0045232265,0.0038799315,0.0057316744,0.0005854084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006876401,0.00044358725,0.0005708481,0.002625119,0.0005171711,0.00084247737,0.00057127513,0.00037961575,0.0009410026],"category_scores_gemma":[0.017439125,0.00019356389,0.00046853683,0.0015625256,0.00050767045,0.00046713252,0.0005342102,0.00046023616,0.0003407994],"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":[0.001801269,0.00037810756,0.6218968,0.00033908762,0.0006332732,0.0004395835,0.0014866353,0.016456459,0.19213419,0.0007541528,0.0013368335,0.16234359],"study_design_scores_gemma":[0.000029304056,0.000827312,0.9236057,0.00002689594,0.00012869693,0.00035865186,0.0004927592,0.023747347,0.04857601,0.0003685027,0.0017456083,0.00009331533],"about_ca_topic_score_codex":0.0053750174,"about_ca_topic_score_gemma":0.013770482,"teacher_disagreement_score":0.006876401,"about_ca_system_score_codex":0.00057339796,"about_ca_system_score_gemma":0.00047462934,"threshold_uncertainty_score":0.036366284},"labels":[],"label_agreement":null},{"id":"W2028109164","doi":"10.4141/cjps07190","title":"Use of gross income as a measure of productivity in rice breeding","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Farm Service Agency","keywords":"Biplot; Gross income; Cultivar; Gross margin; Productivity; Yield (engineering); Crop; Agronomy; Biology; Biotechnology; Genotype; Economics; Agriculture; Economic growth; Ecology","score_opus":0.08058576994363936,"score_gpt":0.2013590246310621,"score_spread":0.12077325468742273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028109164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820254,0.00017202433,0.01417573,0.00008234979,0.000016844491,0.00003824796,0.0008538613,0.000070576905,0.002564995],"genre_scores_gemma":[0.99256235,0.000043556913,0.006793788,0.0000068963986,0.000004910398,0.000019742269,0.000327901,0.0000092825885,0.00023138098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987243,0.00075556897,0.00007221611,0.00011972922,0.00026909652,0.000059004182],"domain_scores_gemma":[0.9980894,0.00093166967,0.00047212155,0.00018778353,0.00021914585,0.00009990872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020140603,0.0004512704,0.0003329047,0.0017361771,0.00027406926,0.00055630674,0.00028043255,0.00013304486,0.00084250467],"category_scores_gemma":[0.0048725614,0.000097901844,0.0002691564,0.0018152196,0.00042401507,0.0003800088,0.00046047487,0.00030594977,0.00016211814],"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":[0.00061358215,0.0000937901,0.9180561,0.000051142208,0.00019607841,0.00020863742,0.00026091942,0.0056854063,0.004318311,0.0008967853,0.00058439415,0.06903483],"study_design_scores_gemma":[0.0000064183128,0.00015455674,0.99141765,0.0000074505797,0.000014736484,0.000116356874,0.00014038276,0.006288136,0.00072203926,0.00051829725,0.00060097047,0.000013025593],"about_ca_topic_score_codex":0.0032647806,"about_ca_topic_score_gemma":0.006855598,"teacher_disagreement_score":0.0032647806,"about_ca_system_score_codex":0.00057954405,"about_ca_system_score_gemma":0.00024271115,"threshold_uncertainty_score":0.010651469},"labels":[],"label_agreement":null},{"id":"W2028745400","doi":"10.5539/jas.v4n10p224","title":"Detection of Genetic Components of Variation for Yield, Fibre and Quality Traits in Flax (Linum usitatissimum L.)","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Linum; Biology; Yield (engineering); Dominance (genetics); Selection (genetic algorithm); Horticulture; Botany; Agronomy; Gene; Genetics; Physics","score_opus":0.06110375400673801,"score_gpt":0.2511503365615661,"score_spread":0.1900465825548281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028745400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938726,0.00004012775,0.0002982364,0.000009588594,9.4954976e-7,0.0000055981914,0.00011436359,0.00000897564,0.00013481095],"genre_scores_gemma":[0.99725384,0.000054685548,0.001139992,0.00002158206,0.0000024331137,0.0000232268,0.0006213864,0.000012118036,0.00087077206],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979705,0.000041029467,0.000014464502,0.000081990765,0.000040142215,0.000025350959],"domain_scores_gemma":[0.9996753,0.000091464884,0.00011717853,0.00002438211,0.000026008787,0.000065791784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002590451,0.0003019647,0.00014524897,0.0009964434,0.00020619489,0.0001604754,0.00015032741,0.00028044565,0.00073527923],"category_scores_gemma":[0.00022410994,0.00017627036,0.00021737958,0.00037972344,0.00016723538,0.000084606196,0.00021650999,0.00027388352,0.00012471947],"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":[0.0003134263,0.000116162664,0.030743698,0.00003231158,0.00005308813,0.00018743654,0.00018134342,0.00011076636,0.96411604,0.000073609684,0.000024736137,0.004047361],"study_design_scores_gemma":[0.000015256046,0.00045655976,0.98039424,0.0000035918515,0.000043909204,0.0004589827,0.00008020537,0.0004144598,0.017792441,0.000032657324,0.00029688008,0.000010794434],"about_ca_topic_score_codex":0.0014615887,"about_ca_topic_score_gemma":0.0041513424,"teacher_disagreement_score":0.0014615887,"about_ca_system_score_codex":0.00037341862,"about_ca_system_score_gemma":0.00017032005,"threshold_uncertainty_score":0.0029061437},"labels":[],"label_agreement":null},{"id":"W2030423956","doi":"10.2135/cropsci2003.5490","title":"Prediction of Cultivar Performance Based on Single‐ versus Multiple‐Year Tests in Soybean","year":2003,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cultivar; Best linear unbiased prediction; Biology; Selection (genetic algorithm); Statistic; Crop; Predictive power; Statistics; Generalized linear mixed model; Genotype; Biotechnology; Agronomy; Mathematics; Computer science; Machine learning","score_opus":0.07109522179588554,"score_gpt":0.21778111526489957,"score_spread":0.14668589346901403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030423956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957416,0.00018019271,0.0033813694,0.000020059408,0.000005488263,0.000012976485,0.000349728,0.00005674229,0.00025192293],"genre_scores_gemma":[0.9953311,0.00006516375,0.0032438855,0.000017244969,0.0000026555851,0.000019680178,0.0008421183,0.000027297514,0.00045082739],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977139,0.0011614133,0.00014087568,0.00047583305,0.00037140405,0.00013653708],"domain_scores_gemma":[0.9867219,0.009845091,0.0015300151,0.0006872791,0.000577469,0.0006383632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065883826,0.00068004057,0.0007811078,0.0006194495,0.00023845508,0.00079011294,0.00056283944,0.0005730057,0.00032869674],"category_scores_gemma":[0.009337148,0.00030118838,0.00088080176,0.00046767274,0.00037287097,0.000649823,0.0003877298,0.00068832206,0.00019438396],"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":[0.008113762,0.0005279321,0.7427247,0.00018712095,0.0010396853,0.0002987542,0.0006540868,0.051422205,0.14094248,0.00027677137,0.0005492107,0.053263307],"study_design_scores_gemma":[0.000060026712,0.004743071,0.9056309,0.000020652316,0.00020881287,0.00014187694,0.00014368507,0.06821919,0.019996077,0.0002874421,0.00044445708,0.000103881386],"about_ca_topic_score_codex":0.022198781,"about_ca_topic_score_gemma":0.052915063,"teacher_disagreement_score":0.022198781,"about_ca_system_score_codex":0.0019257518,"about_ca_system_score_gemma":0.0008630304,"threshold_uncertainty_score":0.044139147},"labels":[],"label_agreement":null},{"id":"W2030709727","doi":"10.2135/cropsci2002.1434","title":"Likelihood‐Based Analysis of Genotype–Environment Interactions","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Restricted maximum likelihood; Biology; Covariance; Gene–environment interaction; Statistics; Mixed model; Genotype; Multivariate statistics; Multivariate analysis; Analysis of covariance; Trait; Score test; Maximum likelihood; Genetics; Mathematics; Computer science","score_opus":0.04137858851162405,"score_gpt":0.21445876114148835,"score_spread":0.1730801726298643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030709727","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09503852,0.00016251819,0.90249085,0.000114061135,0.000011279331,0.0000755968,0.00042112367,0.00069988664,0.0009862127],"genre_scores_gemma":[0.6988746,0.00012303938,0.29547766,0.000096995056,0.0000286102,0.00053739396,0.0023041149,0.0005686054,0.0019889676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99239975,0.0057550054,0.00021099331,0.00073983276,0.0007001277,0.0001944212],"domain_scores_gemma":[0.98025495,0.017318746,0.0008654229,0.000866894,0.00047050702,0.00022353994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0105241295,0.0010066297,0.0013103898,0.0018992289,0.00046012472,0.0011993964,0.0015034318,0.00055465935,0.0029191428],"category_scores_gemma":[0.024842821,0.00047205435,0.0016248184,0.0009481139,0.00076860486,0.001059033,0.001299084,0.0013249271,0.0005617884],"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":[0.0021419697,0.0008567953,0.09960116,0.0006729849,0.0042678625,0.0013929001,0.00083245564,0.40878502,0.059091285,0.09134616,0.0025674251,0.32844397],"study_design_scores_gemma":[0.00007135807,0.0002543117,0.025144573,0.0000136718,0.00013059271,0.00022985096,0.00006090804,0.94195104,0.004183852,0.026149955,0.0017263229,0.00008362008],"about_ca_topic_score_codex":0.0015249127,"about_ca_topic_score_gemma":0.0012653099,"teacher_disagreement_score":0.0105241295,"about_ca_system_score_codex":0.0007263511,"about_ca_system_score_gemma":0.0010397622,"threshold_uncertainty_score":0.055657566},"labels":[],"label_agreement":null},{"id":"W2031164383","doi":"10.5539/jas.v4n3p193","title":"Genetic Variation, Heritability, Phenotypic and Genotypic Correlation Studies for Yield and Yield Components in Promising Barley Genotypes","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":109,"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":"International Center for Agricultural Research in the Dry Areas; Al-Balqa' Applied University","keywords":"Heritability; Tiller (botany); Biology; Hordeum vulgare; Genetic variability; Genetic variation; Yield (engineering); Cultivar; Coefficient of variation; Correlation coefficient; Correlation; Population; Genotype; Agronomy; Poaceae; Mathematics; Statistics; Genetics; Demography","score_opus":0.10581626593972505,"score_gpt":0.2327263081828861,"score_spread":0.12691004224316105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031164383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99972683,0.0000110505725,0.00015633383,0.0000015922639,3.028508e-7,0.0000016573639,0.000059047077,0.0000023959813,0.000040772782],"genre_scores_gemma":[0.999012,0.000018093828,0.00050056074,0.0000015854043,0.000001114697,0.000006680998,0.0002876497,0.00000736539,0.00016498446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997385,0.000059461072,0.000024338953,0.00008108297,0.00006197862,0.000034665318],"domain_scores_gemma":[0.9994168,0.00023963192,0.00013221546,0.00007047806,0.00006787615,0.00007287425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059873867,0.0002822229,0.00025231106,0.0005314142,0.00022804938,0.00022043649,0.00015859054,0.00012517114,0.0005206398],"category_scores_gemma":[0.0006340472,0.00017648311,0.00027705455,0.00045801088,0.00025323918,0.000103363775,0.00015207884,0.0002228222,0.00011187445],"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":[0.0015522387,0.00029599434,0.55758244,0.00007210272,0.0003613021,0.0006820572,0.0015368417,0.0020761653,0.4164361,0.00031311752,0.0001266391,0.018965032],"study_design_scores_gemma":[0.0000125202205,0.0002659465,0.99516004,0.0000018066147,0.000044855155,0.00025036337,0.00010509239,0.00071750727,0.0032492084,0.000041233696,0.00014005924,0.000011303442],"about_ca_topic_score_codex":0.002534083,"about_ca_topic_score_gemma":0.004937725,"teacher_disagreement_score":0.002534083,"about_ca_system_score_codex":0.00032123283,"about_ca_system_score_gemma":0.00019753975,"threshold_uncertainty_score":0.0050386786},"labels":[],"label_agreement":null},{"id":"W2032413122","doi":"10.1111/j.1601-5223.1954.tb02972.x","title":"AN ANALYSIS OF HYBRID VIGOUR IN TETRAPLOID RYE","year":2010,"lang":"en","type":"article","venue":"Hereditas","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Heterosis; Biology; Outbreeding depression; Germplasm; Library science; Inbreeding; Horticulture; Sociology; Hybrid; Demography; Population","score_opus":0.01312420822220425,"score_gpt":0.21520331919183422,"score_spread":0.20207911096962997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032413122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985067,0.0002076976,0.0007611019,0.000005219854,0.000003099591,0.000012935635,0.00020148775,0.00001227989,0.00028934435],"genre_scores_gemma":[0.9972077,0.00013154204,0.0008931382,0.000019757337,0.0000047986937,0.00003474658,0.0008958821,0.000016383503,0.00079610763],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996674,0.000091483096,0.000030209123,0.000092360686,0.00007197141,0.00004664917],"domain_scores_gemma":[0.9991615,0.00037539814,0.00011501,0.00012240159,0.00006239178,0.00016321214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003767352,0.00024295914,0.00040403733,0.0009601886,0.00025820918,0.00032514834,0.00024600382,0.00036963157,0.0011194646],"category_scores_gemma":[0.00041678423,0.00016053082,0.00043415287,0.00046812632,0.00034670168,0.00021690692,0.0004197587,0.00047887093,0.0001710565],"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":[0.0004421485,0.000050686507,0.004703941,0.000026001258,0.000028825902,0.000105101535,0.00011484138,0.00006618715,0.9928899,0.00005630752,0.000008742134,0.0015071922],"study_design_scores_gemma":[0.00009908172,0.0057562366,0.67462796,0.000015200617,0.0001535779,0.0019403098,0.0004655187,0.0017773805,0.3125571,0.00025558617,0.0022777582,0.0000743306],"about_ca_topic_score_codex":0.0005092507,"about_ca_topic_score_gemma":0.00064672483,"teacher_disagreement_score":0.0011194646,"about_ca_system_score_codex":0.00028958736,"about_ca_system_score_gemma":0.00007319395,"threshold_uncertainty_score":0.0037449598},"labels":[],"label_agreement":null},{"id":"W2032741057","doi":"10.2135/cropsci2002.1100","title":"Biplot Analysis of Test Sites and Trait Relations of Soybean in Ontario","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":904,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Biplot; Biology; Trait; Test (biology); Statistics; Biotechnology; Genetics; Ecology; Mathematics; Genotype; Computer science; Gene","score_opus":0.056143240618134624,"score_gpt":0.20777808070857384,"score_spread":0.1516348400904392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032741057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886995,0.0001315866,0.0054424764,0.000027800023,0.0000063272373,0.000041710457,0.0025661448,0.00018396795,0.0029005178],"genre_scores_gemma":[0.98706776,0.00007389256,0.006432396,0.000012221568,0.0000015764796,0.000064923144,0.004027973,0.000099866666,0.0022194772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992687,0.00016560737,0.000036966765,0.00013963091,0.00029252004,0.000096555],"domain_scores_gemma":[0.9990363,0.0002688968,0.00017248515,0.00009872011,0.00032836923,0.00009526035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067666685,0.00026640802,0.00034715215,0.001002045,0.00039571794,0.00052028906,0.000271391,0.00007641066,0.0010798383],"category_scores_gemma":[0.0017884696,0.00014919201,0.00027696314,0.0019449486,0.00028049323,0.00014825194,0.00028647663,0.00018113048,0.00014190235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024759767,0.00011259485,0.65901875,0.00028508116,0.00034972772,0.00047218893,0.0029021013,0.005392107,0.16431089,0.0011170143,0.003350399,0.16021317],"study_design_scores_gemma":[0.000006198747,0.00003779977,0.9947942,0.0000040218324,0.000012088355,0.000025004098,0.00014854877,0.0021874534,0.0014250847,0.00006142943,0.0012909379,0.000007187204],"about_ca_topic_score_codex":0.4517083,"about_ca_topic_score_gemma":0.67427486,"teacher_disagreement_score":0.5482917,"about_ca_system_score_codex":0.0034473094,"about_ca_system_score_gemma":0.0017186505,"threshold_uncertainty_score":0.8981581},"labels":[],"label_agreement":null},{"id":"W2034515114","doi":"10.4141/cjps10003","title":"Linear, bilinear, and linear-bilinear fixed and mixed models for analyzing genotype × environment interaction in plant breeding and agronomy","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":26,"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":"Bilinear interpolation; Mathematics; Linear model; Statistics; Context (archaeology); Partial least squares regression; Generalized least squares; Mixed model; Econometrics; Linear regression; Generalized linear model; Regression analysis; Crossover; Biology; Computer science; Artificial intelligence","score_opus":0.03359814469656396,"score_gpt":0.20719080134061157,"score_spread":0.1735926566440476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034515114","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029687867,0.0012447024,0.9944794,0.00020225268,0.00010523566,0.00005736731,0.00018005907,0.00021837592,0.0005437492],"genre_scores_gemma":[0.10488251,0.0035699606,0.88322085,0.00041655367,0.0004832434,0.00106674,0.00082474644,0.00042573691,0.005109701],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.978392,0.017025061,0.0006598202,0.0018346449,0.0016530262,0.00043541304],"domain_scores_gemma":[0.98057896,0.015519546,0.0013662314,0.001512012,0.0008338139,0.00018945274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01889238,0.0023705303,0.0018639652,0.0018389128,0.0006541521,0.0016102677,0.003064652,0.0013455258,0.0051642708],"category_scores_gemma":[0.027650783,0.0009125115,0.0044294903,0.0042265435,0.002546529,0.002377557,0.0018158797,0.0032681157,0.001294164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034986806,0.00031326906,0.012711734,0.0014965342,0.0018926087,0.0003844679,0.00079720217,0.16603912,0.004062867,0.49644625,0.008608019,0.30689812],"study_design_scores_gemma":[0.000055688983,0.00067323644,0.0054166825,0.000169543,0.0004406126,0.00034457774,0.00018305787,0.539904,0.0017277723,0.43440223,0.016507655,0.00017494605],"about_ca_topic_score_codex":0.0045818714,"about_ca_topic_score_gemma":0.0073323096,"teacher_disagreement_score":0.01889238,"about_ca_system_score_codex":0.0015848004,"about_ca_system_score_gemma":0.0018395267,"threshold_uncertainty_score":0.09991366},"labels":[],"label_agreement":null},{"id":"W2036587868","doi":"10.1007/s10681-005-6149-0","title":"Pedigree selection for Gibberella ear rot resistance in maize","year":2005,"lang":"en","type":"article","venue":"Euphytica","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"Universidad Nacional de Rosario; McGill University","keywords":"Biology; Inoculation; Selection (genetic algorithm); Gibberella; Gibberella fujikuroi; Agronomy; Horticulture; Fusarium; Veterinary medicine; Biotechnology","score_opus":0.024001572488044614,"score_gpt":0.20969347824899162,"score_spread":0.18569190576094702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036587868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703467,0.000064368774,0.0017522839,0.000026213991,0.0000046013897,0.00003551911,0.00017241674,0.00006411795,0.00084579503],"genre_scores_gemma":[0.99041116,0.00019122686,0.005974108,0.00009941887,0.0000064973146,0.000042370237,0.00066554017,0.00007756037,0.0025320377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995307,0.0001843555,0.0000316673,0.000110655456,0.000089465924,0.000053170792],"domain_scores_gemma":[0.99909306,0.0003044152,0.00020090917,0.00011879897,0.000055755623,0.00022706579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007610179,0.0006215376,0.0003377612,0.0013501819,0.00057469524,0.00035451035,0.0005913979,0.00038794312,0.0022577548],"category_scores_gemma":[0.0007117389,0.00033263725,0.00025567127,0.0006347011,0.00023910849,0.0002461934,0.0005069125,0.00048749172,0.00033610628],"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":[0.0011137704,0.0012931043,0.025497368,0.000083586565,0.00013558978,0.001221917,0.00057855365,0.0021630262,0.9428989,0.0020302609,0.0002595103,0.022724332],"study_design_scores_gemma":[0.0012494202,0.004577122,0.780165,0.00010964412,0.00094182574,0.004645272,0.00075561996,0.023153577,0.1715274,0.0025205247,0.010126102,0.00022847613],"about_ca_topic_score_codex":0.003870273,"about_ca_topic_score_gemma":0.012460504,"teacher_disagreement_score":0.003870273,"about_ca_system_score_codex":0.0008267699,"about_ca_system_score_gemma":0.0006264586,"threshold_uncertainty_score":0.007695496},"labels":[],"label_agreement":null},{"id":"W2037638065","doi":"10.1111/j.1601-5223.1966.tb02084.x","title":"HETEROSIS AND INBREEDING DEPRESSION IN AUTOTETRAPLOID RYE","year":2009,"lang":"en","type":"article","venue":"Hereditas","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Heterosis; Inbreeding depression; Citation; Biology; Inbreeding; Outbreeding depression; Library science; Genetics; Genealogy; Sociology; Demography; History; Computer science; Horticulture","score_opus":0.015449210226777945,"score_gpt":0.18659673283239842,"score_spread":0.17114752260562047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037638065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993808,0.000093824674,0.00013282325,0.000008546978,0.0000013340923,0.0000014847449,0.0000324699,0.000004060923,0.00034469407],"genre_scores_gemma":[0.9988801,0.000067264606,0.000090617716,0.000015084742,0.0000021399019,0.0000032509777,0.00009315069,0.000007314128,0.00084115524],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990094,0.000024613135,0.000011212735,0.000026074717,0.000020310206,0.000016890035],"domain_scores_gemma":[0.99970055,0.0000784281,0.00007835566,0.000042620006,0.000028449316,0.00007167377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000165184,0.00019727471,0.00025887575,0.0004859241,0.00018139319,0.0002830396,0.000265313,0.00019443661,0.00078311184],"category_scores_gemma":[0.00030997774,0.00018580098,0.00013395822,0.00023206226,0.00021110757,0.00017683583,0.00026408146,0.000344322,0.00013527754],"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":[0.0002370641,0.00008172061,0.013628736,0.000023647284,0.000035772115,0.0002496426,0.00014990167,0.00015876377,0.9820972,0.0002565923,0.00004240511,0.0030384818],"study_design_scores_gemma":[0.00006601647,0.00045500352,0.8938813,0.000008708945,0.000101773265,0.002225233,0.00032077153,0.0021197165,0.09954893,0.00059289765,0.0006513076,0.00002836156],"about_ca_topic_score_codex":0.0018579669,"about_ca_topic_score_gemma":0.0027611258,"teacher_disagreement_score":0.0018579669,"about_ca_system_score_codex":0.00028547575,"about_ca_system_score_gemma":0.0001605299,"threshold_uncertainty_score":0.0036943555},"labels":[],"label_agreement":null},{"id":"W2037712354","doi":"10.2135/cropsci2009.12.0725","title":"Selection for Forage Yield and Composition on the Wisconsin Quality Synthetic Maize Population","year":2010,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Monsanto (Canada)","funders":"","keywords":"Stover; Silage; Dry matter; Biology; Agronomy; Forage; Population; Yield (engineering); Hectare; Corn stover; Selection (genetic algorithm); Biotechnology; Crop; Ecology; Biofuel; Agriculture","score_opus":0.05725240237736369,"score_gpt":0.2624253285013224,"score_spread":0.2051729261239587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037712354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880517,0.00002778704,0.0005993181,0.0000062057525,0.0000012414393,0.000014057702,0.00023852974,0.00001110176,0.00029659702],"genre_scores_gemma":[0.9946517,0.000075557036,0.0026192719,0.000024609772,0.0000017133062,0.000028758024,0.001276815,0.000020966148,0.0013006873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983764,0.000039013863,0.000018982928,0.000035868048,0.000046751713,0.000021806147],"domain_scores_gemma":[0.99978024,0.000039966133,0.00005878659,0.000027892023,0.000040134877,0.0000530382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028752847,0.00035090512,0.00014955805,0.00031926448,0.00016571186,0.00024466374,0.00018403764,0.000115465606,0.00087862747],"category_scores_gemma":[0.00021996576,0.00010264421,0.00019514536,0.00023602124,0.00017829526,0.000077523684,0.00027179392,0.00021619665,0.00011709385],"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":[0.0004982904,0.000051765925,0.0094086705,0.000018028348,0.00004752098,0.0000496823,0.000064608685,0.00035484353,0.9855296,0.00011184117,0.000048836166,0.0038164996],"study_design_scores_gemma":[0.00013841328,0.0025233652,0.43169707,0.000023395809,0.00033640183,0.00056959654,0.0002342097,0.0047004553,0.5518643,0.00008644658,0.007776817,0.0000494937],"about_ca_topic_score_codex":0.00497498,"about_ca_topic_score_gemma":0.013103192,"teacher_disagreement_score":0.00497498,"about_ca_system_score_codex":0.0003615692,"about_ca_system_score_gemma":0.00025794984,"threshold_uncertainty_score":0.009892046},"labels":[],"label_agreement":null},{"id":"W2039717324","doi":"10.5539/jas.v4n4p11","title":"Heritability Studies of Yield and Yield Associated Traits in Wheat Genotypes","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":23,"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":"International Center for Agricultural Research in the Dry Areas; Al-Balqa' Applied University","keywords":"Heritability; Tiller (botany); Biology; Genetic variability; Cultivar; Yield (engineering); Agronomy; Genetic variation; Test weight; Genotype; Mathematics; Genetics; Gene","score_opus":0.07098464033977588,"score_gpt":0.24875535101303967,"score_spread":0.17777071067326378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039717324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979274,0.00010644643,0.0016269878,0.0000042915954,0.0000016205017,0.0000039477404,0.00012738608,0.000012751414,0.00018910007],"genre_scores_gemma":[0.99918085,0.000043430933,0.00041819655,0.0000022354357,0.0000015955947,0.000004524779,0.00019113842,0.000008193253,0.00014985951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970657,0.000076968274,0.000020971656,0.00009827695,0.00006725602,0.00002992023],"domain_scores_gemma":[0.99942565,0.00026786726,0.00012998222,0.00008847328,0.000057730544,0.000030278412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067270343,0.00020992412,0.00019043637,0.000480335,0.00012982306,0.00021161522,0.00012485501,0.00010196123,0.00049155595],"category_scores_gemma":[0.00094398117,0.00012937028,0.00023069933,0.0002569562,0.00015070557,0.00012572606,0.00018115432,0.00019873523,0.00008672736],"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":[0.00039525985,0.00011962308,0.61153233,0.00007217433,0.0004776161,0.00051036384,0.0012840963,0.0036933012,0.34489125,0.00044758662,0.00016075122,0.036415614],"study_design_scores_gemma":[0.0000036145523,0.00012045826,0.99529415,0.0000040144596,0.000053742493,0.0001942703,0.00007091384,0.000951499,0.0030380674,0.000060529273,0.00020153713,0.00000716242],"about_ca_topic_score_codex":0.0011985109,"about_ca_topic_score_gemma":0.001555581,"teacher_disagreement_score":0.0011985109,"about_ca_system_score_codex":0.00014906985,"about_ca_system_score_gemma":0.00008806419,"threshold_uncertainty_score":0.0035576224},"labels":[],"label_agreement":null},{"id":"W2040727185","doi":"10.2135/cropsci2000.403597x","title":"Cultivar Evaluation and Mega‐Environment Investigation Based on the GGE Biplot","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1941,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Cultivar; Gene–environment interaction; Biology; Yield (engineering); Mega-; Main effect; Agronomy; Biotechnology; Genotype; Statistics; Mathematics; Genetics","score_opus":0.054594156879485274,"score_gpt":0.21698890305122956,"score_spread":0.1623947461717443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040727185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72362727,0.0002953508,0.25681242,0.00016060557,0.00011875845,0.000965811,0.0057606595,0.0036993867,0.008559603],"genre_scores_gemma":[0.793924,0.00013469573,0.19542003,0.000049364065,0.000024208459,0.0011415947,0.0052898433,0.0008805305,0.0031357233],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976897,0.0011037273,0.00013768864,0.00034939114,0.00053033396,0.00018906154],"domain_scores_gemma":[0.9960121,0.0019845623,0.00041081163,0.00040700598,0.0009783242,0.00020710797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029312244,0.0010627548,0.0008912622,0.0031806054,0.00045749033,0.0016959978,0.00043432735,0.00030821728,0.0033317346],"category_scores_gemma":[0.005989288,0.0002494246,0.0006676268,0.0029805694,0.00044241053,0.0005256114,0.0007274425,0.00091226207,0.0005913213],"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":[0.00672918,0.0010563143,0.18248832,0.0006763397,0.0006755719,0.00082263566,0.0027020867,0.027809624,0.11587804,0.0057990123,0.012527757,0.6428351],"study_design_scores_gemma":[0.00026290916,0.0023718795,0.806566,0.0000921402,0.0002160692,0.0005244579,0.0012822809,0.14504872,0.019748898,0.002783536,0.0208646,0.00023857155],"about_ca_topic_score_codex":0.004928267,"about_ca_topic_score_gemma":0.004396993,"teacher_disagreement_score":0.004928267,"about_ca_system_score_codex":0.0005141378,"about_ca_system_score_gemma":0.00072087446,"threshold_uncertainty_score":0.015501976},"labels":[],"label_agreement":null},{"id":"W2046105930","doi":"10.1079/pgr2006116","title":"Impact of plant breeding on genetic diversity of agricultural crops: searching for molecular evidence","year":2006,"lang":"en","type":"article","venue":"Plant Genetic Resources","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Genetic diversity; Biology; Agriculture; Crop; Plant breeding; Biotechnology; Crop diversity; Agroforestry; Agronomy; Ecology; Population","score_opus":0.04046632834612322,"score_gpt":0.22679443460916293,"score_spread":0.1863281062630397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046105930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9047109,0.0769191,0.0075130654,0.0013307489,0.00004570296,0.000036810146,0.00059216464,0.000030068355,0.008821394],"genre_scores_gemma":[0.96866107,0.026839007,0.0029925809,0.00047001868,0.00009659478,0.000013435878,0.00044959554,0.000011200602,0.0004663501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986765,0.0004099003,0.00009942688,0.00037701224,0.00037853367,0.000058552476],"domain_scores_gemma":[0.990373,0.0068736025,0.0013419655,0.0004083837,0.00070752366,0.00029549675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036029404,0.00028194158,0.00058631785,0.002661372,0.000338648,0.00097110786,0.0005844081,0.0006223963,0.001658002],"category_scores_gemma":[0.0047199503,0.000121704834,0.0003313538,0.0024658602,0.0011955297,0.0011295269,0.0005402536,0.0006143534,0.00025460022],"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":[0.0017793323,0.00033744788,0.39727408,0.0042014616,0.0014803114,0.0023365605,0.0011477807,0.002361441,0.20625982,0.0058914796,0.0004686899,0.3764616],"study_design_scores_gemma":[0.00004532871,0.0007590165,0.9563001,0.0004417517,0.0009827809,0.0013299478,0.0007795998,0.0019518752,0.022897674,0.0053842734,0.009071148,0.000056416047],"about_ca_topic_score_codex":0.0007463362,"about_ca_topic_score_gemma":0.00080936827,"teacher_disagreement_score":0.0036029404,"about_ca_system_score_codex":0.00038508806,"about_ca_system_score_gemma":0.00040303177,"threshold_uncertainty_score":0.019054353},"labels":[],"label_agreement":null},{"id":"W2047116407","doi":"10.3389/fpls.2015.00157","title":"Genetic diversity and genomic resources available for the small millet crops to accelerate a New Green Revolution","year":2015,"lang":"en","type":"review","venue":"Frontiers in Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":278,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"International Development Research Centre; Canadian Mennonite University","keywords":"Panicum miliaceum; Paspalum; Setaria; Germplasm; Biology; Subsistence agriculture; Echinochloa; Foxtail; Agronomy; Eleusine; Crop; Agroforestry; Biotechnology; Biodiversity; Agriculture; Finger millet; Ecology; Weed control","score_opus":0.11463002674801091,"score_gpt":0.2342655757896861,"score_spread":0.11963554904167518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047116407","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":[0.06101622,0.89412457,0.012446839,0.010323137,0.0011606797,0.000056893434,0.0033757084,0.00040295944,0.017093012],"genre_scores_gemma":[0.1515665,0.8024164,0.023732532,0.004835768,0.00082375645,0.00012477256,0.008668989,0.00016559956,0.007665747],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975926,0.00003812544,0.000033390534,0.00007731354,0.000058885966,0.00003304555],"domain_scores_gemma":[0.9990108,0.0004669241,0.00019723034,0.000060139064,0.00018953117,0.00007538598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010888776,0.0003976583,0.0009904036,0.0015423475,0.00029384,0.0017686153,0.00065731973,0.0007375168,0.0042300224],"category_scores_gemma":[0.0012830433,0.00023927906,0.000649363,0.0026759964,0.00041983713,0.002055919,0.00069407624,0.0015609635,0.0010722174],"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":[0.0004435543,0.000055676028,0.004219806,0.016225893,0.00032934098,0.0017973238,0.00086199463,0.0014466564,0.13660716,0.020386105,0.012378228,0.80524826],"study_design_scores_gemma":[0.00003617283,0.00023751393,0.016753655,0.0037171645,0.00052596664,0.0016687589,0.0005942287,0.00025025872,0.008607371,0.012871488,0.95466655,0.00007092543],"about_ca_topic_score_codex":0.0007799032,"about_ca_topic_score_gemma":0.0014237332,"teacher_disagreement_score":0.0042300224,"about_ca_system_score_codex":0.00075466343,"about_ca_system_score_gemma":0.0011729063,"threshold_uncertainty_score":0.014150858},"labels":[],"label_agreement":null},{"id":"W2047422946","doi":"10.2135/cropsci2013.04.0218","title":"Improved Statistical Inference for Graphical Description and Interpretation of Genotype × Environment Interaction","year":2013,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biplot; Bootstrapping (finance); Procrustes analysis; Statistics; Varimax rotation; Principal component analysis; Nonparametric statistics; Mathematics; Resampling; Hordeum vulgare; Pattern recognition (psychology); Artificial intelligence; Biology; Computer science; Econometrics; Genotype; Botany; Poaceae","score_opus":0.026368503673275867,"score_gpt":0.2320320555685527,"score_spread":0.20566355189527682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047422946","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017555789,0.000056969406,0.99473995,0.000051199928,0.000030657833,0.000058230307,0.0004043758,0.0027143643,0.00018879815],"genre_scores_gemma":[0.07950367,0.00008869822,0.9167525,0.00011974735,0.00010513986,0.00080787763,0.0011797248,0.0010222348,0.0004203317],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9766302,0.016929217,0.0011538519,0.0029207438,0.0020317025,0.00033419463],"domain_scores_gemma":[0.8758626,0.104604214,0.004901462,0.009914259,0.0041769743,0.0005405225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023340594,0.0021893356,0.0024332623,0.004706817,0.0007054923,0.0029087022,0.003475508,0.001471102,0.017410617],"category_scores_gemma":[0.10948042,0.0013007543,0.0045179324,0.0034521667,0.002182782,0.0029653385,0.0026647572,0.0038141096,0.002709812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011600828,0.0006718498,0.015717698,0.0027022692,0.0025739323,0.0014276591,0.001572691,0.1877991,0.020340659,0.15348616,0.023857165,0.58869076],"study_design_scores_gemma":[0.00018375379,0.00023038678,0.0065995753,0.00015569228,0.00023733673,0.00026106814,0.00010501444,0.8467751,0.002722769,0.13432476,0.008260704,0.00014375719],"about_ca_topic_score_codex":0.0032261133,"about_ca_topic_score_gemma":0.0021496785,"teacher_disagreement_score":0.023340594,"about_ca_system_score_codex":0.00093976076,"about_ca_system_score_gemma":0.0013745276,"threshold_uncertainty_score":0.12343836},"labels":[],"label_agreement":null},{"id":"W2047816468","doi":"10.1080/07060661.2010.534895","title":"Progeny evaluation for resistance to<i>Phaeosphaeria</i>leaf spot in tropical maize","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Plant Pathology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","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":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Heritability; Biology; Anthesis; Leaf spot; Agronomy; Horticulture; Cultivar","score_opus":0.02859202008519901,"score_gpt":0.22241397451092673,"score_spread":0.19382195442572772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047816468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983853,0.00013311935,0.00074068154,0.000009176068,0.000003315918,0.000019186717,0.00037892745,0.000025865816,0.00030442417],"genre_scores_gemma":[0.99779487,0.00008948798,0.0009895115,0.000011413013,0.0000026865946,0.000013784182,0.0005528344,0.000018615967,0.0005266425],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996092,0.000066010536,0.000032820877,0.00011929004,0.00011737232,0.000055353525],"domain_scores_gemma":[0.9993411,0.00017557405,0.00020996213,0.00004815227,0.000103507315,0.00012178905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073002593,0.0003747906,0.00032029217,0.0008004599,0.00025993775,0.00035892613,0.00022716224,0.00016215308,0.0009663735],"category_scores_gemma":[0.0004960761,0.00015015363,0.00046364145,0.0003369276,0.00021565396,0.0001444687,0.00025139548,0.00043035892,0.00016892506],"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":[0.00046645218,0.000086825276,0.022934947,0.00005732827,0.00009018521,0.0001381807,0.00021051482,0.00019898116,0.97177976,0.0000673996,0.000037994294,0.0039314516],"study_design_scores_gemma":[0.000025496189,0.001614908,0.7362794,0.00001138413,0.00022780923,0.0005445184,0.00032590135,0.0008124892,0.25900766,0.000041352443,0.0010743766,0.000034683446],"about_ca_topic_score_codex":0.004362146,"about_ca_topic_score_gemma":0.0040681376,"teacher_disagreement_score":0.004362146,"about_ca_system_score_codex":0.0004818768,"about_ca_system_score_gemma":0.00021977855,"threshold_uncertainty_score":0.008673489},"labels":[],"label_agreement":null},{"id":"W2048043112","doi":"10.2135/cropsci2004.0076","title":"An Integrated Biplot Analysis System for Displaying, Interpreting, and Exploring Genotype × Environment Interaction","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":313,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Trait; Covariate; Biology; Gene–environment interaction; Quantitative trait locus; Hordeum vulgare; Selection (genetic algorithm); Statistics; Genotype; Biotechnology; Genetics; Mathematics; Agronomy; Computer science; Artificial intelligence; Poaceae","score_opus":0.04603363339320681,"score_gpt":0.2415906852011062,"score_spread":0.19555705180789937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048043112","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065612695,0.0003010943,0.7649059,0.000110416295,0.00029825026,0.0007024283,0.02766101,0.19592966,0.0035299924],"genre_scores_gemma":[0.032040548,0.00027507928,0.9160618,0.00022967935,0.000117418196,0.0043600905,0.02307622,0.019877188,0.0039619594],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99749774,0.0007950094,0.00037079808,0.00056524156,0.0006209842,0.00015027488],"domain_scores_gemma":[0.99256223,0.003600936,0.0007107711,0.0012966851,0.0015832859,0.00024610912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006154529,0.002525631,0.0025881736,0.004602115,0.0009228768,0.0025110515,0.0015075878,0.00061543845,0.049465284],"category_scores_gemma":[0.008659498,0.0013351382,0.0017490002,0.0045536165,0.00041075845,0.0018759388,0.0016606095,0.00265336,0.011925276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039413655,0.00080610946,0.010386497,0.0028587896,0.0013037435,0.00056083495,0.0014232295,0.0077314074,0.05536977,0.013940443,0.2448064,0.65687144],"study_design_scores_gemma":[0.0014434692,0.0018724405,0.06692513,0.00083922443,0.00080355786,0.0011623432,0.00076066965,0.27606052,0.10369356,0.04690516,0.49834326,0.001190652],"about_ca_topic_score_codex":0.0023792123,"about_ca_topic_score_gemma":0.0028627084,"teacher_disagreement_score":0.049465284,"about_ca_system_score_codex":0.0007941024,"about_ca_system_score_gemma":0.0013951554,"threshold_uncertainty_score":0.16547787},"labels":[],"label_agreement":null},{"id":"W2049042321","doi":"10.2135/cropsci2004.0687","title":"A Curated Internet Database of Oat Pedigrees","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Pedigree chart; Biology; Avena; The Internet; Database; Variety (cybernetics); Interface (matter); World Wide Web; Botany; Genetics; Computer science; Artificial intelligence","score_opus":0.04293066815252899,"score_gpt":0.2370744552218711,"score_spread":0.1941437870693421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049042321","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006697643,0.0010684797,0.019254703,0.0002238991,0.000108794775,0.0002995141,0.94496965,0.014369302,0.013008129],"genre_scores_gemma":[0.006531536,0.0007526586,0.026074396,0.000084572035,0.000036629634,0.00018346563,0.9630986,0.000825199,0.002412824],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989035,0.0001521225,0.00032204334,0.0002483603,0.00030672495,0.000067225454],"domain_scores_gemma":[0.9948926,0.0011997214,0.000844254,0.0012017799,0.0012925699,0.00056912797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014757821,0.001019178,0.001125356,0.011466868,0.00078566105,0.00225806,0.0015064161,0.0008970855,0.030794403],"category_scores_gemma":[0.0074380967,0.00050914654,0.0006057601,0.015288217,0.0001904244,0.0021246427,0.0018090163,0.0010671202,0.017954098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008186538,0.0003890933,0.013120696,0.0038531867,0.00027244838,0.0015197806,0.0005943735,0.0026209115,0.015079797,0.010321156,0.68277884,0.26863107],"study_design_scores_gemma":[0.00017874078,0.000074960546,0.030091072,0.0005349325,0.00021204386,0.0013032416,0.00016179025,0.0029715481,0.003533761,0.005720352,0.95511895,0.00009863382],"about_ca_topic_score_codex":0.0065392214,"about_ca_topic_score_gemma":0.01148572,"teacher_disagreement_score":0.030794403,"about_ca_system_score_codex":0.0008152631,"about_ca_system_score_gemma":0.0028651704,"threshold_uncertainty_score":0.10301757},"labels":[],"label_agreement":null},{"id":"W2050054634","doi":"10.2135/cropsci2000.4011","title":"Genotype × Region Interaction for Two‐Row Barley Yield in Canada","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada; Nova Scotia Department of Agriculture","funders":"","keywords":"Hordeum vulgare; Biology; Genotype; Selection (genetic algorithm); Yield (engineering); Subdivision; Adaptation (eye); Local adaptation; Grain yield; Poaceae; Variance (accounting); Breeding program; Agronomy; Geography; Cultivar; Demography; Genetics; Population","score_opus":0.04413189995214815,"score_gpt":0.2203749875109376,"score_spread":0.17624308755878945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050054634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974235,0.00021328077,0.00031171695,0.00006115797,0.000007942962,0.00001073173,0.0009425199,0.000040580966,0.0009885596],"genre_scores_gemma":[0.9957962,0.00012225637,0.0006642925,0.000048096495,0.0000013937823,0.000014961126,0.001041341,0.000048453247,0.0022630983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999236,0.00011872489,0.000034339333,0.00023600526,0.0001841599,0.0001908859],"domain_scores_gemma":[0.9987478,0.00036901896,0.0001429715,0.00008525104,0.00036392672,0.00029095818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005408708,0.00057761144,0.0006110895,0.0005979377,0.0010158432,0.0008531327,0.0007578387,0.00031170336,0.002181562],"category_scores_gemma":[0.0010858994,0.0002987791,0.00087166333,0.000967332,0.00060828286,0.0002223004,0.0005845694,0.0005588807,0.0002465909],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00519364,0.00030372193,0.75260824,0.00017287227,0.001354885,0.0013175048,0.0019671302,0.005482342,0.19000798,0.0012744353,0.003174551,0.037142694],"study_design_scores_gemma":[0.000038409966,0.0001545398,0.99399084,0.000011522693,0.00019411345,0.00008004439,0.00031650683,0.0019649884,0.0018626105,0.00007291976,0.0012743062,0.000039120237],"about_ca_topic_score_codex":0.9351467,"about_ca_topic_score_gemma":0.97165495,"teacher_disagreement_score":0.06485331,"about_ca_system_score_codex":0.009287464,"about_ca_system_score_gemma":0.010514893,"threshold_uncertainty_score":0.13047045},"labels":[],"label_agreement":null},{"id":"W2054088285","doi":"10.5539/jas.v4n8p74","title":"Estimation of Genetic Parameters for Maturity and Grain Yield in Diallel Crosses of Five Wheat Cultivars Using Two Different Models","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":15,"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":"Diallel cross; Grain yield; Cultivar; Maturity (psychological); Biology; Horticulture; Yield (engineering); Biotechnology; Hybrid; Psychology; Materials science","score_opus":0.06401150817990206,"score_gpt":0.2662035721975843,"score_spread":0.20219206401768222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054088285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9388206,0.00016373754,0.060305394,0.000035167846,0.000005757639,0.000038322283,0.00020102262,0.000115330506,0.00031472964],"genre_scores_gemma":[0.9791988,0.00009205687,0.019533006,0.0000136376575,0.0000028453546,0.00007609377,0.0005173518,0.000026814183,0.0005393747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994469,0.0002584749,0.000028790844,0.00018242071,0.000037096695,0.0000462664],"domain_scores_gemma":[0.9978841,0.0016993609,0.00019249451,0.00008043389,0.00008263412,0.000060961273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020842636,0.0010487085,0.00052760186,0.00089284225,0.000275855,0.0006276817,0.00081317755,0.00048619122,0.00076186826],"category_scores_gemma":[0.0029301124,0.00039442236,0.0016569226,0.00035064676,0.00024636765,0.00038926306,0.0004329106,0.0006228859,0.00013175246],"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":[0.0027152505,0.001256225,0.24645269,0.0003299467,0.0028270595,0.0007673506,0.0010423529,0.60321075,0.05522679,0.009024917,0.0005945056,0.076552175],"study_design_scores_gemma":[0.00008134234,0.000321973,0.07287405,0.000026989544,0.00044217028,0.00016060627,0.000073681476,0.9213851,0.0024560413,0.001726318,0.0003892446,0.0000624166],"about_ca_topic_score_codex":0.0065218997,"about_ca_topic_score_gemma":0.0051055606,"teacher_disagreement_score":0.0065218997,"about_ca_system_score_codex":0.0008322337,"about_ca_system_score_gemma":0.00042481718,"threshold_uncertainty_score":0.012967885},"labels":[],"label_agreement":null},{"id":"W2054096625","doi":"10.2135/cropsci2003.0518","title":"Quantitative Genetic Analysis of the Physiological Processes underlying Maize Grain Yield","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hybrid; Biology; Mating design; Grain yield; Yield (engineering); Genetic variation; Inbred strain; Agronomy; Dry matter; Additive genetic effects; Genetic variability; Gene–environment interaction; Genetic gain; Heritability; Diallel cross; Genotype; Genetics; Gene","score_opus":0.13568841198690051,"score_gpt":0.28841654007815115,"score_spread":0.15272812809125064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054096625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978278,0.000096250595,0.0015786872,0.000011559002,0.0000012097134,0.00001233277,0.00023351019,0.000016224081,0.00022248],"genre_scores_gemma":[0.9967499,0.00009187481,0.00245537,0.000009855445,0.000002206513,0.000017958877,0.0003490625,0.000012143788,0.00031155423],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997074,0.000068578,0.000020561398,0.00009011159,0.00008496372,0.000028350816],"domain_scores_gemma":[0.9995183,0.00015074448,0.00017627145,0.000042072432,0.0000544235,0.000058206482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044541497,0.0003340311,0.00017291516,0.0007108428,0.00018027742,0.00028968183,0.00022719234,0.00016442312,0.00045455893],"category_scores_gemma":[0.0005889337,0.00017181072,0.00024744606,0.00051212386,0.00027518335,0.00016138199,0.00025140864,0.0002546223,0.00006529817],"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":[0.00032648296,0.000054476546,0.03380129,0.000058670084,0.000077341996,0.0001030934,0.00017573492,0.0012095012,0.95804846,0.0003128389,0.00002481075,0.0058073197],"study_design_scores_gemma":[0.00001905912,0.00019435296,0.9674869,0.0000059795025,0.00006169827,0.00012426045,0.00009263484,0.004326844,0.026906522,0.00024201506,0.00051053835,0.000029091581],"about_ca_topic_score_codex":0.0073416308,"about_ca_topic_score_gemma":0.009648581,"teacher_disagreement_score":0.0073416308,"about_ca_system_score_codex":0.000822433,"about_ca_system_score_gemma":0.00042121357,"threshold_uncertainty_score":0.014597774},"labels":[],"label_agreement":null},{"id":"W2054302851","doi":"10.4141/p06-156","title":"Probability of a recombinant inbred diploid plant for two linked genes","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","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":"Inbreeding; Biology; Genetics; Genotype; Linkage (software); Trait; Population; Inbred strain; Genetic linkage; Quantitative trait locus; Selection (genetic algorithm); Ploidy; Gene; Demography; Computer science","score_opus":0.06473773453236659,"score_gpt":0.22638915559159487,"score_spread":0.16165142105922828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054302851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50000894,0.00037149191,0.48993987,0.00023920675,0.000041291132,0.0001310841,0.00043933798,0.00063927926,0.008189457],"genre_scores_gemma":[0.9209531,0.0002551629,0.07153094,0.000049412112,0.000021517719,0.000112499685,0.0006725599,0.000112931164,0.006291828],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99892277,0.0002419675,0.000062913954,0.0003225183,0.0003887732,0.00006098981],"domain_scores_gemma":[0.9922835,0.0057597645,0.0007628385,0.0007251103,0.00030627416,0.00016252685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002332579,0.00021722604,0.00037615816,0.0006088452,0.00033306755,0.00057465414,0.0006118282,0.00046450453,0.005770589],"category_scores_gemma":[0.0090625845,0.00023330573,0.00043759317,0.00034011158,0.0005624823,0.00074543024,0.00044247846,0.00063179294,0.0009170269],"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":[0.0012375284,0.00028589682,0.12161317,0.0007076851,0.00026534774,0.002588059,0.0012430486,0.07763777,0.4930938,0.12427361,0.0029799598,0.17407411],"study_design_scores_gemma":[0.00016785978,0.0019985856,0.19728534,0.00012081784,0.0004833313,0.013673148,0.00041155293,0.3672353,0.30030665,0.09248249,0.025501018,0.00033392422],"about_ca_topic_score_codex":0.0003873282,"about_ca_topic_score_gemma":0.00048414525,"teacher_disagreement_score":0.005770589,"about_ca_system_score_codex":0.00044387,"about_ca_system_score_gemma":0.0001933643,"threshold_uncertainty_score":0.019304574},"labels":[],"label_agreement":null},{"id":"W2056650255","doi":"10.5539/jas.v4n11p248","title":"Evaluation of Drought Tolerant in Some Wheat Genotypes to Post-anthesis Drought Stress","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Randomized block design; Anthesis; Genotype; Biology; Drought tolerance; Drought stress; Agronomy; Crop; Water stress; Horticulture; Cultivar","score_opus":0.03876505907871874,"score_gpt":0.25096694985912554,"score_spread":0.2122018907804068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056650255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994771,0.0000592805,0.00031359322,0.0000046459845,0.0000023367961,0.0000074068507,0.000064911044,0.000008104944,0.000062591374],"genre_scores_gemma":[0.9976172,0.00009232768,0.001563476,0.000018056473,0.0000032203561,0.00001638004,0.00043996194,0.000008742006,0.00024066278],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998043,0.00005289349,0.000027721702,0.000053030773,0.000040138064,0.000021852677],"domain_scores_gemma":[0.9996718,0.00005841508,0.00011366699,0.00002900849,0.00005666948,0.00007038802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041504783,0.00035625804,0.00035834525,0.0005209816,0.00016656223,0.00026546256,0.00015619326,0.00023963592,0.00031364724],"category_scores_gemma":[0.00033330484,0.00012167814,0.00031785405,0.00028419937,0.00012589294,0.00016410656,0.00014935013,0.0002914284,0.000102340826],"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":[0.0005475696,0.00016644989,0.032846335,0.000055066506,0.00006224869,0.00009455301,0.00015933186,0.00028933713,0.9596026,0.00003141802,0.000029322991,0.0061156773],"study_design_scores_gemma":[0.0000595621,0.0055420175,0.83490187,0.000013661252,0.00023575607,0.0005478671,0.0003262122,0.0021722256,0.1549427,0.00011052763,0.0011094012,0.00003813225],"about_ca_topic_score_codex":0.00043346558,"about_ca_topic_score_gemma":0.0006665286,"teacher_disagreement_score":0.0005209816,"about_ca_system_score_codex":0.00012976279,"about_ca_system_score_gemma":0.00011821835,"threshold_uncertainty_score":0.0021950006},"labels":[],"label_agreement":null},{"id":"W2057892004","doi":"10.4141/cjps08400","title":"Why is MIXED analysis underutilized","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science","score_opus":0.051591607905735894,"score_gpt":0.19450346160973356,"score_spread":0.14291185370399767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057892004","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055431556,0.05624903,0.16028133,0.6988353,0.04264926,0.0004084891,0.0031484885,0.0055584675,0.027326474],"genre_scores_gemma":[0.13262266,0.06999243,0.2753974,0.41225323,0.06437153,0.0026493252,0.003764174,0.018118985,0.02083033],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.6933746,0.22328249,0.018519113,0.015727108,0.045402583,0.003694058],"domain_scores_gemma":[0.3098519,0.5130463,0.026908774,0.046056617,0.094816454,0.0093199015],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.19450775,0.0009818887,0.0028866397,0.0074383398,0.0031231584,0.019489598,0.0057803756,0.008105361,0.019679703],"category_scores_gemma":[0.46775636,0.001839962,0.003655431,0.01139003,0.012015154,0.016921243,0.006364137,0.012025687,0.016423631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006172871,0.00007135178,0.005478751,0.0055821994,0.00065952656,0.00036552935,0.0055208025,0.00041393362,0.00076678063,0.11556692,0.5491421,0.31581482],"study_design_scores_gemma":[0.00008477138,0.00011857408,0.0038928827,0.0069014053,0.00021450482,0.00093659107,0.0038336548,0.0012458061,0.0012286012,0.09920224,0.88207424,0.00026674004],"about_ca_topic_score_codex":0.0046696663,"about_ca_topic_score_gemma":0.005658296,"teacher_disagreement_score":0.8054923,"about_ca_system_score_codex":0.005280657,"about_ca_system_score_gemma":0.01241382,"threshold_uncertainty_score":0.99331534},"labels":[],"label_agreement":null},{"id":"W2058020800","doi":"10.2135/cropsci2000.0014br","title":"Maize Genetics and Breeding in the 20th Century","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Citation; Crop; Biology; Library science; Plant breeding; Agriculture; Genealogy; Horticulture; History; Computer science; Agronomy; Ecology","score_opus":0.025430853764632853,"score_gpt":0.20810825448718892,"score_spread":0.18267740072255606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058020800","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":[0.07236605,0.72710806,0.016302792,0.10369895,0.00589516,0.000046181925,0.00022381556,0.00014911148,0.07420979],"genre_scores_gemma":[0.31417942,0.5620398,0.020456566,0.031827174,0.0071037635,0.00008851473,0.00025447475,0.00011560495,0.063934684],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940383,0.000112298585,0.000029398809,0.00014582371,0.00021016927,0.00009844884],"domain_scores_gemma":[0.99920493,0.0002849373,0.00010744445,0.00006219203,0.00019311451,0.00014743577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021575831,0.00040889898,0.000593129,0.001005732,0.0009018136,0.0015598707,0.000499402,0.0017693513,0.0036832548],"category_scores_gemma":[0.0025341795,0.0001999715,0.00025233033,0.0014017799,0.004484781,0.0022656107,0.0011963124,0.0016134806,0.00039037122],"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":[0.0005616739,0.00020789816,0.005164284,0.0010195365,0.0000926553,0.0008036562,0.0035158363,0.0019730951,0.024449801,0.42091057,0.029393071,0.511908],"study_design_scores_gemma":[0.000070793925,0.0001132307,0.008411988,0.00032971264,0.000031596934,0.0005071058,0.0006493709,0.0003498561,0.0022417689,0.08012398,0.90713465,0.00003598249],"about_ca_topic_score_codex":0.0063314834,"about_ca_topic_score_gemma":0.006933656,"teacher_disagreement_score":0.0063314834,"about_ca_system_score_codex":0.004462788,"about_ca_system_score_gemma":0.0025243629,"threshold_uncertainty_score":0.032379985},"labels":[],"label_agreement":null},{"id":"W2061058254","doi":"10.1210/jcem.85.7.6681","title":"Minimal-Model Estimates of Insulin Sensitivity Are Insensitive to Errors in Glucose Effectiveness<sup>1</sup>","year":2000,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Insulin; Insulin sensitivity; Endocrinology; Internal medicine; Bolus (digestion); Polycystic ovary; Minimal model; Mathematics; Medicine; Chemistry; Insulin resistance; Mathematical analysis","score_opus":0.05326264683374272,"score_gpt":0.3104042735515059,"score_spread":0.2571416267177632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061058254","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":[0.14403073,0.0005760856,0.8513584,0.00014080635,0.000035161054,0.00009124216,0.0006108637,0.00089750986,0.002259144],"genre_scores_gemma":[0.8808942,0.00023249672,0.116224736,0.00012258868,0.000022020522,0.00018773078,0.001366717,0.0002590756,0.0006904955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823076,0.0010478476,0.00009319859,0.0002860127,0.00026639644,0.00007584685],"domain_scores_gemma":[0.9905751,0.0072231065,0.00068792846,0.0010037824,0.00038112185,0.00012882573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040902486,0.0010563079,0.0010711893,0.0005725826,0.00028447833,0.0012125896,0.0011015214,0.0005221748,0.0011391947],"category_scores_gemma":[0.025843382,0.0005508373,0.0010395453,0.00044270584,0.0006796288,0.0008193689,0.00082635094,0.0010292302,0.00062549574],"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":[0.001277072,0.0001746547,0.07548446,0.00060094125,0.0018213415,0.00035689684,0.00022728251,0.7764335,0.013636314,0.016460858,0.002723654,0.11080304],"study_design_scores_gemma":[0.000036919875,0.00027135777,0.020639844,0.000066122055,0.00012426353,0.000373973,0.000059816786,0.9476572,0.004351922,0.024665013,0.0016690077,0.00008447474],"about_ca_topic_score_codex":0.00344806,"about_ca_topic_score_gemma":0.0030748332,"teacher_disagreement_score":0.0040902486,"about_ca_system_score_codex":0.0007011968,"about_ca_system_score_gemma":0.00086318416,"threshold_uncertainty_score":0.021631539},"labels":[],"label_agreement":null},{"id":"W2065296437","doi":"10.4141/cjps10004","title":"Bayesian data analysis for agricultural experiments","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":13,"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 Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Markov chain Monte Carlo; Bayesian probability; Computer science; Variable-order Bayesian network; Bayesian average; Algorithm; Bayesian statistics; Data mining; Bayesian inference; Machine learning; Artificial intelligence","score_opus":0.06280947615664628,"score_gpt":0.2419887753068112,"score_spread":0.17917929915016492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065296437","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015755043,0.00043111874,0.99458116,0.00023358226,0.0000747798,0.00056452997,0.00068096706,0.0006870847,0.0011713167],"genre_scores_gemma":[0.025270266,0.0005400408,0.9672248,0.00027976735,0.000083777544,0.0042366567,0.001220243,0.0004364821,0.0007079664],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9268546,0.05341874,0.0040903143,0.007062578,0.007951355,0.0006223497],"domain_scores_gemma":[0.8402019,0.12387367,0.009819395,0.0146067655,0.010583199,0.0009150919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.075768776,0.0020887624,0.004635492,0.006642057,0.0020505718,0.004707979,0.0039386163,0.002685799,0.013251735],"category_scores_gemma":[0.20749192,0.0016204895,0.004226148,0.008291258,0.0040235044,0.0047829878,0.0039341794,0.00681909,0.0030095705],"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":[0.0010664484,0.00040877928,0.01630164,0.006734151,0.0033340135,0.00084346446,0.0027892718,0.085556075,0.00879838,0.41119224,0.032111313,0.43086424],"study_design_scores_gemma":[0.0004484462,0.0005130832,0.013666371,0.0014061992,0.00077257986,0.0006766026,0.00062998314,0.30139187,0.004916541,0.5807578,0.09443598,0.00038459152],"about_ca_topic_score_codex":0.004256256,"about_ca_topic_score_gemma":0.0033772816,"teacher_disagreement_score":0.075768776,"about_ca_system_score_codex":0.0043998184,"about_ca_system_score_gemma":0.006502871,"threshold_uncertainty_score":0.40070838},"labels":[],"label_agreement":null},{"id":"W2066122347","doi":"10.4141/cjps07207","title":"Genotype by environment interaction effect on yield and quality of potatoes","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":32,"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":"Biplot; Sugar; Yield (engineering); Cultivar; Stability (learning theory); Agronomy; Horticulture; Mathematics; Biology; Biotechnology; Food science; Genotype; Computer science; Machine learning","score_opus":0.04581255316363406,"score_gpt":0.2076477785187673,"score_spread":0.16183522535513326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066122347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989594,0.000104657884,0.00041399882,0.000012015488,0.0000051961197,0.000005024134,0.00016227827,0.000018241546,0.0003191564],"genre_scores_gemma":[0.9984621,0.0000445816,0.0004115018,0.00001539766,0.0000021495339,0.000009993473,0.00025686497,0.00002781559,0.00076958543],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991366,0.00031431357,0.000056831326,0.0002599699,0.00014885585,0.000083418105],"domain_scores_gemma":[0.99846613,0.00079929124,0.00019492196,0.00013386153,0.00016618539,0.00023967352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058772974,0.00044553343,0.00050633756,0.000541874,0.00027726463,0.0006005905,0.00018796205,0.00029090067,0.0019212882],"category_scores_gemma":[0.00087415235,0.0001984879,0.00040083533,0.00044286012,0.00030029038,0.00024374732,0.000477521,0.00043556766,0.0001833727],"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":[0.0030967281,0.0001596166,0.12165812,0.000080483616,0.00073540106,0.0007655801,0.0004672124,0.000592982,0.8626584,0.0001556527,0.00016390512,0.009465985],"study_design_scores_gemma":[0.00001533535,0.00067819987,0.9860978,0.000003660252,0.00015274523,0.00032819615,0.00013638847,0.0007997624,0.011151264,0.00004333414,0.0005683336,0.000024932786],"about_ca_topic_score_codex":0.0020295186,"about_ca_topic_score_gemma":0.0046550618,"teacher_disagreement_score":0.0020295186,"about_ca_system_score_codex":0.00035954412,"about_ca_system_score_gemma":0.0002512275,"threshold_uncertainty_score":0.0064273477},"labels":[],"label_agreement":null},{"id":"W2066973560","doi":"10.5539/jas.v6n2p90","title":"Yield Ability and Yield Stability, the Effective Tools Through Selection Procedure of Classified Wheat (Triticum aestivum) Crosses","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Diallel cross; Biology; Biotechnology; Ranking (information retrieval); Mathematics; Agronomy; Statistics; Hybrid; Computer science; Machine learning","score_opus":0.04497338127508863,"score_gpt":0.23784345949274782,"score_spread":0.1928700782176592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066973560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714878,0.0010574065,0.025095625,0.000027878003,0.000015640411,0.00006637415,0.0004192754,0.00011943759,0.0017105245],"genre_scores_gemma":[0.9776969,0.0005171813,0.018269045,0.00002354113,0.000009018236,0.00006316953,0.0011831294,0.00007013333,0.0021679609],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99925107,0.0001696442,0.000079717836,0.0002129242,0.0002361572,0.0000504586],"domain_scores_gemma":[0.9992174,0.00020061573,0.00024652286,0.00010839989,0.0001465754,0.00008033118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088609447,0.00058528443,0.0003955011,0.0010145308,0.0002907521,0.0005415848,0.00035710886,0.0002795095,0.0010635732],"category_scores_gemma":[0.0008017103,0.00014427018,0.00035391166,0.00040138097,0.00018657466,0.00023660863,0.00051068317,0.00043874435,0.00033904618],"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":[0.00014123695,0.00006729128,0.012851128,0.000053924636,0.000032231823,0.00013746363,0.00010218177,0.00030660772,0.9653365,0.00016515817,0.000038264265,0.020768007],"study_design_scores_gemma":[0.000018697423,0.0015429407,0.3795055,0.000035338595,0.00024307823,0.001041575,0.00013730791,0.0022888428,0.61117655,0.00023943406,0.0037159508,0.000054699358],"about_ca_topic_score_codex":0.00052270066,"about_ca_topic_score_gemma":0.0012055036,"teacher_disagreement_score":0.0010635732,"about_ca_system_score_codex":0.0002557376,"about_ca_system_score_gemma":0.00016746405,"threshold_uncertainty_score":0.004686177},"labels":[],"label_agreement":null},{"id":"W2067517505","doi":"10.2135/cropsci2010.09.0548","title":"Genotype × Location Interaction Patterns and Testing Strategies for Oat in the Canadian Prairies","year":2011,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cargill (Canada); University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Ministry of Strategy and Finance; Ministry of Agriculture - Saskatchewan; University of Saskatchewan","keywords":"Avena; Biology; Agronomy; Grain yield; Poaceae; Gene–environment interaction; Yield (engineering); Genotype; Test weight; Selection (genetic algorithm); Animal science; Genetics","score_opus":0.14479805115697492,"score_gpt":0.25200676502032227,"score_spread":0.10720871386334735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067517505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950891,0.00014923957,0.0031482596,0.00007054952,0.0000050766007,0.00004996802,0.0005342747,0.000059589544,0.00089389307],"genre_scores_gemma":[0.99406165,0.000045296507,0.0045221965,0.00003010574,0.0000011312517,0.000032780976,0.0005192287,0.000027811626,0.0007596821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996042,0.0013674205,0.00014585235,0.0014538531,0.0005604898,0.00043043803],"domain_scores_gemma":[0.99574536,0.0021013557,0.0005334145,0.00057487143,0.00073491805,0.00031011115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034652574,0.00061326876,0.000729884,0.0013095121,0.0014839718,0.0010969944,0.002067971,0.00048763465,0.0011533359],"category_scores_gemma":[0.005945853,0.00040955734,0.0012093454,0.0021429444,0.0015881713,0.00048491816,0.00072010333,0.0007696409,0.00012442489],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090110936,0.00022503859,0.90419954,0.00007525774,0.00086804666,0.00056558073,0.0018736625,0.009441132,0.04472893,0.0017919538,0.0007759726,0.034553763],"study_design_scores_gemma":[0.00002172463,0.00016362814,0.9827822,0.000008853148,0.00017134842,0.00007895098,0.0006469021,0.013569101,0.0012589938,0.000247758,0.0009984418,0.00005213894],"about_ca_topic_score_codex":0.8753738,"about_ca_topic_score_gemma":0.94923985,"teacher_disagreement_score":0.12462622,"about_ca_system_score_codex":0.009481843,"about_ca_system_score_gemma":0.007542474,"threshold_uncertainty_score":0.25072032},"labels":[],"label_agreement":null},{"id":"W2067823209","doi":"10.2135/cropsci2001.413656x","title":"Two Types of GGE Biplots for Analyzing Multi‐Environment Trial Data","year":2001,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":357,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Principal component analysis; Gene–environment interaction; Statistics; Biology; Representativeness heuristic; Regression; Regression analysis; Main effect; Genotype; Mathematics; Genetics","score_opus":0.17637763591216474,"score_gpt":0.3042983420989384,"score_spread":0.12792070618677367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067823209","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05935725,0.00019346681,0.906237,0.00024893854,0.00037152553,0.0014626625,0.0077213896,0.019435054,0.0049728076],"genre_scores_gemma":[0.099705,0.00012263797,0.87998855,0.00018626831,0.00009537728,0.005373555,0.0069252164,0.004475091,0.003128233],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953336,0.002875955,0.0003912938,0.0003537802,0.0008294987,0.00021579806],"domain_scores_gemma":[0.98379105,0.009276882,0.0012427159,0.00322324,0.002074161,0.00039203916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004658799,0.0013612878,0.0012289066,0.0037556812,0.00053776463,0.0011964104,0.0007666792,0.0006175287,0.011151194],"category_scores_gemma":[0.021144684,0.00060704723,0.0010426497,0.004084497,0.00054094894,0.0010019372,0.0008635926,0.001927463,0.0031564028],"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":[0.0052786535,0.0012666595,0.018198578,0.0013062668,0.0004919737,0.00043376046,0.0014869316,0.014958839,0.04659181,0.015275355,0.056260604,0.83845055],"study_design_scores_gemma":[0.0032962225,0.004424893,0.324258,0.000541534,0.00043105942,0.0023260843,0.0012090881,0.3117638,0.09135276,0.032843005,0.22611956,0.0014339476],"about_ca_topic_score_codex":0.0011574372,"about_ca_topic_score_gemma":0.0022060636,"teacher_disagreement_score":0.011151194,"about_ca_system_score_codex":0.00034706297,"about_ca_system_score_gemma":0.0005508796,"threshold_uncertainty_score":0.03730446},"labels":[],"label_agreement":null},{"id":"W2067957534","doi":"10.1111/j.1601-5223.1987.tb00271.x","title":"Genetic variation in arctic populations of timothy (Phleum pratense L.): II. Phenotypic stability of seed production","year":2008,"lang":"en","type":"article","venue":"Hereditas","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Genetics; Norges Forskningsråd","keywords":"Biology; Genotype; Population; Gene–environment interaction; Phleum; Stability (learning theory); Genetics; Botany; Demography; Gene","score_opus":0.060907952943013675,"score_gpt":0.21245441174769908,"score_spread":0.1515464588046854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067957534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999716,0.000034503417,0.00007998344,0.0000024658564,7.2392686e-7,0.0000012737497,0.000050545423,0.0000011294961,0.00011349469],"genre_scores_gemma":[0.9991775,0.00003412425,0.00022345288,0.000004345148,0.0000025100658,0.000005728145,0.0003215381,0.000004031353,0.00022684538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998517,0.000041337953,0.000010085475,0.000046462083,0.000031146526,0.000019292382],"domain_scores_gemma":[0.99971527,0.00007324304,0.000090200694,0.000018035666,0.000043582364,0.000059572758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039266152,0.00016581602,0.0001387082,0.00051941007,0.0002821594,0.00024477387,0.00015094,0.000120968165,0.0005120236],"category_scores_gemma":[0.00035532546,0.000079726975,0.00015565816,0.0003488754,0.00024914983,0.000097505974,0.00022819512,0.00014346588,0.00011220917],"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":[0.0011784167,0.00013671885,0.61111474,0.00006097018,0.00024250482,0.00037513018,0.0031156074,0.0005783035,0.36401606,0.0003025541,0.00019345965,0.018685535],"study_design_scores_gemma":[0.000005036427,0.00009260171,0.99816763,0.0000020756231,0.000017769898,0.00012627902,0.00023213046,0.00023974566,0.0009265272,0.000021847613,0.00016402207,0.000004314265],"about_ca_topic_score_codex":0.00513956,"about_ca_topic_score_gemma":0.015519551,"teacher_disagreement_score":0.00513956,"about_ca_system_score_codex":0.00028212657,"about_ca_system_score_gemma":0.00012925794,"threshold_uncertainty_score":0.010219276},"labels":[],"label_agreement":null},{"id":"W2068051295","doi":"10.2135/cropsci2012.05.0301","title":"Biplot Analysis of Incomplete Two‐Way Data","year":2012,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Missing data; Table (database); Singular value decomposition; Statistics; Data mining; Avena; Computer science; Mathematics; Biology; Artificial intelligence; Genotype; Agronomy","score_opus":0.1579010261251902,"score_gpt":0.2971244505314209,"score_spread":0.1392234244062307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068051295","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021227673,0.0001971231,0.9674296,0.00012612075,0.00020614434,0.00037786772,0.0048390045,0.0044951863,0.0011013596],"genre_scores_gemma":[0.14413941,0.00027637594,0.83904713,0.00014269294,0.0000958856,0.0022616158,0.010333139,0.0018673729,0.0018364586],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98668844,0.00650708,0.0011060132,0.0024111548,0.0027505113,0.00053684256],"domain_scores_gemma":[0.9480397,0.029713595,0.0042984616,0.008702339,0.008583856,0.00066206773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013679803,0.0020447148,0.002831459,0.0060047335,0.0014268442,0.0030206132,0.0014709102,0.00061326433,0.011366262],"category_scores_gemma":[0.04977412,0.00080123794,0.0025205475,0.007865264,0.00094314956,0.002271479,0.0018601373,0.0028597114,0.002487282],"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":[0.004276356,0.0009306171,0.03360043,0.0037742704,0.0027294056,0.0009689649,0.0042953864,0.034610543,0.03545862,0.042713217,0.04686539,0.78977674],"study_design_scores_gemma":[0.0005279755,0.0022083535,0.09794575,0.000754266,0.0007214953,0.0010981939,0.0024984255,0.61143327,0.043623105,0.11787633,0.120464206,0.0008486177],"about_ca_topic_score_codex":0.0027371373,"about_ca_topic_score_gemma":0.002743401,"teacher_disagreement_score":0.013679803,"about_ca_system_score_codex":0.00096177903,"about_ca_system_score_gemma":0.0019983163,"threshold_uncertainty_score":0.07234657},"labels":[],"label_agreement":null},{"id":"W2068826306","doi":"10.1007/s10722-005-1306-9","title":"Genetic Variation and Relationships of Pedigree-Known Oat, Wheat, and Barley Cultivars Releaved by Bulking and Single-Plant Sampling","year":2006,"lang":"en","type":"article","venue":"Genetic Resources and Crop Evolution","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Amplified fragment length polymorphism; Biology; Germplasm; Hordeum vulgare; Avena; Genetic variation; Cultivar; Genetic diversity; Pedigree chart; Genetic variability; Agronomy; Plant breeding; Botany; Horticulture; Poaceae; Genetics; Genotype; Population","score_opus":0.022340264267945376,"score_gpt":0.17772104707361178,"score_spread":0.1553807828056664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068826306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995783,0.00002235456,0.0001802832,0.0000022095753,7.174064e-7,0.000002632897,0.00007151269,0.000003514105,0.00013844058],"genre_scores_gemma":[0.99881727,0.000026708924,0.0005197729,0.0000070642873,0.0000016316043,0.000005918983,0.0003123461,0.000012794321,0.00029636594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990903,0.00021837623,0.00006871421,0.00043078532,0.000094673356,0.00009711202],"domain_scores_gemma":[0.9979134,0.0008958354,0.0003736738,0.00037494692,0.0001583057,0.00028375923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009588987,0.00028434303,0.00032190545,0.0015773928,0.00047087626,0.0004295703,0.00052193995,0.00029442864,0.001351494],"category_scores_gemma":[0.001578791,0.00023234298,0.00032868798,0.0010658939,0.0005156698,0.0002965268,0.0003826425,0.00043896268,0.0002162492],"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":[0.0021631499,0.0006816436,0.63907975,0.000047872334,0.00039787893,0.0006299359,0.0036206758,0.0008680535,0.3319014,0.0011017965,0.00010250948,0.0194053],"study_design_scores_gemma":[0.000028706429,0.00022517146,0.994574,0.0000044928142,0.000067984256,0.00049570587,0.00029651713,0.00097037846,0.0027974525,0.00021361075,0.0003090467,0.000016914517],"about_ca_topic_score_codex":0.0034418458,"about_ca_topic_score_gemma":0.0101237055,"teacher_disagreement_score":0.0034418458,"about_ca_system_score_codex":0.0005828172,"about_ca_system_score_gemma":0.00022937304,"threshold_uncertainty_score":0.0068436265},"labels":[],"label_agreement":null},{"id":"W2068971550","doi":"10.4141/p03-218","title":"Alfalfa resistance to post-harvest <i>Aspergillus</i> species: Combining ability analyses","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","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; Diallel cross; Repens; Forage; Trifolium repens; Agronomy; Resistance (ecology); Silage; Horticulture; Hay; Botany; Hybrid","score_opus":0.05081602329433637,"score_gpt":0.23166468561528672,"score_spread":0.18084866232095034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068971550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977617,0.00022769808,0.0011757065,0.0000092570435,0.0000016460725,0.000010840607,0.00027970533,0.000029454111,0.0005039509],"genre_scores_gemma":[0.99660456,0.0001748925,0.0015541441,0.000013472917,0.0000023607888,0.000013904306,0.0009673161,0.000009455761,0.0006598124],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99975973,0.000039316114,0.000024424713,0.000057564208,0.00007528573,0.00004363313],"domain_scores_gemma":[0.9995758,0.00008861984,0.0001347121,0.000060487335,0.00007293828,0.00006734735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003232885,0.00034697133,0.0002734298,0.0011098587,0.00023000158,0.00023379631,0.00021505335,0.00022494873,0.0008323574],"category_scores_gemma":[0.00027722813,0.000097498996,0.00042046158,0.00064200413,0.00014731879,0.00011351103,0.00018624868,0.00031333312,0.00019574915],"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":[0.00019717406,0.000038870516,0.017197352,0.000029065954,0.00004744862,0.0001313367,0.000097858574,0.00009813157,0.97614676,0.000036758232,0.00003041427,0.0059488853],"study_design_scores_gemma":[0.000015130657,0.0010657331,0.8501485,0.0000057998386,0.00014603317,0.0014813953,0.00011954101,0.00070618273,0.14464645,0.0000569215,0.0015861995,0.000022191596],"about_ca_topic_score_codex":0.00392273,"about_ca_topic_score_gemma":0.0050189467,"teacher_disagreement_score":0.00392273,"about_ca_system_score_codex":0.00045298354,"about_ca_system_score_gemma":0.00014789824,"threshold_uncertainty_score":0.007799804},"labels":[],"label_agreement":null},{"id":"W2069976767","doi":"10.2135/cropsci2009.03.0133","title":"Identifying Essential Test Locations for Oat Breeding in Eastern Canada","year":2010,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada; Government of New Brunswick; Mining Association of Canada; Atlantic Industries (Canada); Agriculture and Agri-Food Canada","funders":"","keywords":"Breed; Biplot; Avena; Biology; Cultivar; Yield (engineering); Test weight; Agriculture; Breeding program; Test (biology); Genotype; Agronomy; Biotechnology; Ecology","score_opus":0.03353864837941563,"score_gpt":0.24131902030458677,"score_spread":0.20778037192517113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069976767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899829,0.0002940588,0.0053516678,0.000070702576,0.000007457464,0.00020587824,0.0011248564,0.00012498787,0.0028375748],"genre_scores_gemma":[0.97071654,0.00023065585,0.025079163,0.000053494667,0.0000021843305,0.00007993474,0.0019573886,0.00004461113,0.001836039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937904,0.000063700194,0.000042930104,0.00014914834,0.00019325614,0.0001719287],"domain_scores_gemma":[0.99776113,0.00029846217,0.00047934105,0.00013032506,0.0008743025,0.00045634908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060506334,0.00053553213,0.00048831705,0.0013551855,0.0013921923,0.00079458463,0.001186645,0.00024188781,0.0011151406],"category_scores_gemma":[0.0013070536,0.00022841604,0.0003722095,0.0015314703,0.00065427524,0.0003248122,0.00084730337,0.00038540884,0.00021009895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009910573,0.00028716426,0.5702696,0.00031625474,0.00009909198,0.002053726,0.0025206683,0.0031938679,0.31204295,0.00069845666,0.001604257,0.10592289],"study_design_scores_gemma":[0.000025566156,0.00024956765,0.97675735,0.000032040673,0.00007948328,0.00026094617,0.0020427008,0.0029529836,0.014289075,0.000112288086,0.0031558266,0.000042155967],"about_ca_topic_score_codex":0.74970347,"about_ca_topic_score_gemma":0.9594582,"teacher_disagreement_score":0.25029653,"about_ca_system_score_codex":0.0066859946,"about_ca_system_score_gemma":0.010459729,"threshold_uncertainty_score":0.5035411},"labels":[],"label_agreement":null},{"id":"W2070010089","doi":"10.2134/agronj2001.9351111x","title":"GGEbiplot—A Windows Application for Graphical Analysis of Multienvironment Trial Data and Other Types of Two‐Way Data","year":2001,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1245,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Cultivar; Representativeness heuristic; Ranking (information retrieval); Computer science; Diallel cross; Data mining; Artificial intelligence; Statistics; Mathematics; Agronomy; Biology; Genotype","score_opus":0.08536812242833434,"score_gpt":0.2759621290277296,"score_spread":0.19059400659939524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070010089","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046033803,0.0003279105,0.54194194,0.00031691178,0.00028573434,0.00093404634,0.05213374,0.39466208,0.0047941804],"genre_scores_gemma":[0.03267287,0.0005591507,0.83154,0.0005077546,0.00012425796,0.004270065,0.059528727,0.062200826,0.008596385],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99816364,0.00054300186,0.0002731807,0.00033322794,0.0005482328,0.00013878879],"domain_scores_gemma":[0.9913161,0.0061879214,0.00050957396,0.0008473148,0.00086437596,0.00027477922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043973103,0.002335025,0.0018315092,0.0035081212,0.0005890075,0.0021068798,0.002484527,0.00082870113,0.07507651],"category_scores_gemma":[0.010387716,0.001254947,0.0020023002,0.002952105,0.00043932523,0.0027156712,0.0022644396,0.0022801093,0.018692706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023938792,0.0003938072,0.0041493457,0.0036095276,0.00070379785,0.0012064694,0.0014693728,0.009433317,0.03231998,0.012181723,0.53911114,0.39302766],"study_design_scores_gemma":[0.0011408397,0.00048142814,0.015832346,0.0010797525,0.0002790028,0.0013666714,0.00057081576,0.17081091,0.069157794,0.033420485,0.7051886,0.00067140034],"about_ca_topic_score_codex":0.003383669,"about_ca_topic_score_gemma":0.003587872,"teacher_disagreement_score":0.07507651,"about_ca_system_score_codex":0.00069124997,"about_ca_system_score_gemma":0.0013869625,"threshold_uncertainty_score":0.25115597},"labels":[],"label_agreement":null},{"id":"W2072623688","doi":"10.1007/s10681-007-9363-0","title":"The use of wild relatives in crop improvement: a survey of developments over the last 20 years","year":2007,"lang":"en","type":"article","venue":"Euphytica","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1091,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Backcrossing; Biology; Cultivar; Crop; PEST analysis; Biotechnology; Gene; Agronomy; Genetics; Botany","score_opus":0.06807793662226846,"score_gpt":0.23335249672527647,"score_spread":0.165274560103008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072623688","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":[0.9497969,0.04389896,0.0010939409,0.00051449536,0.000022717362,0.000014463877,0.00020437478,0.00002228921,0.0044318154],"genre_scores_gemma":[0.9535214,0.0408791,0.003217898,0.00024395736,0.00003059019,0.000008128934,0.00029016775,0.000010375749,0.0017984428],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990915,0.00034002372,0.000069314345,0.00022048439,0.00022049177,0.000058234255],"domain_scores_gemma":[0.9961597,0.0013843165,0.001445027,0.00020689108,0.00041608856,0.00038801366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016862625,0.00018950968,0.0001958369,0.0012450259,0.00028077496,0.0005384686,0.00036538983,0.0002910849,0.00105802],"category_scores_gemma":[0.001960537,0.00009072761,0.00015435013,0.0018160699,0.0005780653,0.0005120119,0.00038090462,0.00027791384,0.00021909918],"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":[0.00055915135,0.00031568136,0.40684825,0.0009444002,0.00014578197,0.00159987,0.0031894215,0.00038174543,0.047440123,0.0011993317,0.0008394404,0.5365369],"study_design_scores_gemma":[0.000017372855,0.0009027608,0.9200195,0.00030322545,0.00016006341,0.00830574,0.0030135561,0.00031599452,0.0052307015,0.00030590926,0.061401155,0.000024068006],"about_ca_topic_score_codex":0.0018382357,"about_ca_topic_score_gemma":0.0048761996,"teacher_disagreement_score":0.0018382357,"about_ca_system_score_codex":0.00026295587,"about_ca_system_score_gemma":0.00048180146,"threshold_uncertainty_score":0.008917928},"labels":[],"label_agreement":null},{"id":"W2072936052","doi":"10.1111/j.1601-5223.1953.tb03425.x","title":"HETEROSIS IN BARLEY","year":2010,"lang":"en","type":"article","venue":"Hereditas","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Heterosis; Hybrid; Biology; Horticulture; Library science; Biotechnology; Computer science","score_opus":0.010069216124499906,"score_gpt":0.17176206143501546,"score_spread":0.16169284531051556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072936052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753888,0.0039304076,0.001566021,0.00015590055,0.000081788276,0.000016957927,0.000669669,0.000095755604,0.018094633],"genre_scores_gemma":[0.98485017,0.00075933407,0.0004068419,0.000072593495,0.0000245349,0.000012530901,0.0007072752,0.000023491495,0.01314318],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99988663,0.0000076167194,0.0000065818717,0.000039364215,0.000030635107,0.00002915488],"domain_scores_gemma":[0.9998605,0.000020246976,0.000034535933,0.00001798689,0.0000147778865,0.000051910523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007381203,0.00022780318,0.00017478233,0.0003973504,0.00036097906,0.0005466955,0.00020844022,0.00023469616,0.0033275778],"category_scores_gemma":[0.000102632555,0.00015031036,0.00019943491,0.00024285629,0.00022855635,0.0002258029,0.000391806,0.0003686821,0.00113503],"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":[0.00008339823,0.000030591207,0.0023279726,0.00005638929,0.0000097787215,0.00028947642,0.00010408209,0.000031825268,0.9873186,0.00089715776,0.00012981385,0.008720823],"study_design_scores_gemma":[0.00006688576,0.0007422084,0.388876,0.00006716766,0.00010102214,0.006808819,0.00084958307,0.0007604281,0.561871,0.0032527493,0.036517654,0.000086439475],"about_ca_topic_score_codex":0.0035081897,"about_ca_topic_score_gemma":0.0039521772,"teacher_disagreement_score":0.0035081897,"about_ca_system_score_codex":0.00066681986,"about_ca_system_score_gemma":0.0002785643,"threshold_uncertainty_score":0.011131883},"labels":[],"label_agreement":null},{"id":"W2073360423","doi":"10.2135/cropsci2008.07.0422","title":"Response of Yield Heterosis to Increasing Plant Density in Maize","year":2009,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Heterosis; Biology; Agronomy; Dry matter; Interception; Leaf area index; Hybrid; Inbred strain; Plant density; Grain yield; Yield (engineering); Horticulture; Sowing","score_opus":0.042394032803281974,"score_gpt":0.2259321560348046,"score_spread":0.18353812323152263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073360423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99917525,0.00008166906,0.00029471365,0.000012884354,0.0000014256464,0.000006285581,0.000097287135,0.000019412852,0.00031105708],"genre_scores_gemma":[0.99898547,0.00004166424,0.00019887117,0.00002118957,0.0000012271156,0.000008541706,0.00019186985,0.0000098541595,0.0005413909],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997812,0.000024810543,0.000013466238,0.000064472086,0.00008840825,0.000027677792],"domain_scores_gemma":[0.9995493,0.000076220735,0.00014061315,0.000054156528,0.000089503446,0.00009018022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026151477,0.00025567712,0.00028055688,0.00031637205,0.00018524853,0.00034686498,0.00027103315,0.00014438151,0.00073088775],"category_scores_gemma":[0.0003295191,0.00023298852,0.0001683128,0.00018926048,0.00021562312,0.00019329094,0.00033639607,0.00041153963,0.00009772146],"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":[0.00020021595,0.000044788245,0.009483109,0.000024286146,0.000023673521,0.000019158206,0.000059225556,0.00019870882,0.9884819,0.000025646099,0.000029998286,0.0014093186],"study_design_scores_gemma":[0.000019775134,0.0004553378,0.89437556,0.000003387443,0.000027393902,0.000066257075,0.00012189237,0.00175992,0.10265503,0.00004733206,0.0004535408,0.000014525877],"about_ca_topic_score_codex":0.020464806,"about_ca_topic_score_gemma":0.028784307,"teacher_disagreement_score":0.020464806,"about_ca_system_score_codex":0.0017376712,"about_ca_system_score_gemma":0.00028128404,"threshold_uncertainty_score":0.040691376},"labels":[],"label_agreement":null},{"id":"W2073704377","doi":"10.2135/cropsci2004.0493","title":"Diallel Analyses of Agronomic Traits Using Chinese and U.S. Maize Germplasm","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Diallel cross; Germplasm; Biology; Agronomy; Ostrinia; Hybrid; Population; Breeding program; Heterosis; European corn borer; Cultivar; Horticulture; PEST analysis; Pyralidae; Demography","score_opus":0.06954979162907066,"score_gpt":0.29190486442328895,"score_spread":0.2223550727942183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073704377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99108446,0.00013545765,0.004176709,0.000026076068,0.000013269277,0.00009574748,0.0025991618,0.00006412862,0.0018051172],"genre_scores_gemma":[0.97174174,0.00020592418,0.012608631,0.00009757197,0.00000703499,0.00031735023,0.010926376,0.000115553325,0.0039797975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998273,0.000019868989,0.000033075987,0.00006147098,0.000026628246,0.000031679538],"domain_scores_gemma":[0.99971706,0.00005042362,0.00008316447,0.000045812558,0.000049183975,0.000054268614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003424225,0.0004173979,0.00018430929,0.0009476195,0.00040936682,0.00018761701,0.00023895942,0.0001359737,0.0015422301],"category_scores_gemma":[0.00021519816,0.00013683591,0.00045912468,0.00075319386,0.0001849157,0.00012295389,0.00039359115,0.00030860218,0.00019273991],"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":[0.00034801703,0.0000602211,0.0071665826,0.00004648793,0.00005962546,0.0000726832,0.00015515645,0.00005723072,0.9866937,0.00021913894,0.000059364007,0.0050617857],"study_design_scores_gemma":[0.000110532856,0.00095630117,0.46811444,0.0000140802695,0.0004354676,0.0006987487,0.0002500481,0.0011510919,0.5170991,0.00023511403,0.010902367,0.000032823766],"about_ca_topic_score_codex":0.0032213265,"about_ca_topic_score_gemma":0.007862961,"teacher_disagreement_score":0.0032213265,"about_ca_system_score_codex":0.00038483704,"about_ca_system_score_gemma":0.0002695768,"threshold_uncertainty_score":0.0064051747},"labels":[],"label_agreement":null},{"id":"W2075900076","doi":"10.1094/pdis.2002.86.12.1396","title":"Biplot Analysis of Host-by-Pathogen Data","year":2002,"lang":"en","type":"article","venue":"Plant Disease","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Genotype; Biology; Host (biology); Pathogen; Strain (injury); Virulence; Genetics; Computational biology; Gene","score_opus":0.09163184583397688,"score_gpt":0.20856550610246957,"score_spread":0.1169336602684927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075900076","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21399981,0.0009693984,0.70873016,0.0007328657,0.0006316884,0.0007132543,0.039071422,0.025982875,0.009168588],"genre_scores_gemma":[0.5132097,0.00053508475,0.43726063,0.0001776765,0.00015271468,0.0012665347,0.038858574,0.0032328793,0.0053062285],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99661213,0.0011489145,0.00028577968,0.00062432647,0.001085621,0.00024320863],"domain_scores_gemma":[0.9906307,0.004229194,0.0009347388,0.0013207922,0.0025934973,0.00029112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003342573,0.0011314211,0.0011371896,0.0051423255,0.00056822674,0.0018186131,0.00044310777,0.00028244956,0.009949948],"category_scores_gemma":[0.0127112735,0.000280851,0.00069442723,0.0058716116,0.00038432013,0.00084903045,0.00077926397,0.0012175831,0.002756727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042061703,0.0008019012,0.041259624,0.0016772158,0.0010260298,0.0009846825,0.0018586229,0.017487723,0.10583376,0.011486837,0.06978142,0.7435961],"study_design_scores_gemma":[0.00034099503,0.00212882,0.4227357,0.0002955453,0.00030524706,0.0019569835,0.001959369,0.31181917,0.06855886,0.03839872,0.15089528,0.00060529425],"about_ca_topic_score_codex":0.0022861918,"about_ca_topic_score_gemma":0.0018198859,"teacher_disagreement_score":0.009949948,"about_ca_system_score_codex":0.0005776304,"about_ca_system_score_gemma":0.00060847914,"threshold_uncertainty_score":0.033285916},"labels":[],"label_agreement":null},{"id":"W2076002977","doi":"10.4141/cjps08191","title":"Protein concentration inheritance and selection in durum wheat","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Heritability; Inheritance (genetic algorithm); Selection (genetic algorithm); Biology; Grain yield; Agronomy; Yield (engineering); Biotechnology; Genetic gain; Genetic variation; Genetics; Gene; Computer science","score_opus":0.01633650727282918,"score_gpt":0.17891480184576466,"score_spread":0.1625782945729355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076002977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992225,0.00012395951,0.00042150533,0.000010038322,8.6108935e-7,0.000004585997,0.000034150627,0.000007630369,0.0001748973],"genre_scores_gemma":[0.9985833,0.00007434348,0.00086240936,0.000015007866,0.0000018175899,0.000007068178,0.00013856312,0.000010749353,0.0003067302],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99933654,0.00018177471,0.000048869864,0.00019545801,0.00019512408,0.00004220872],"domain_scores_gemma":[0.9995809,0.00014846033,0.000096514916,0.000046944846,0.00007454568,0.000052556687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082374946,0.00032997713,0.0002997326,0.00058536977,0.00039432105,0.0003571291,0.00026653887,0.00019299315,0.00039103642],"category_scores_gemma":[0.00087521545,0.00017309777,0.0001686198,0.00037937445,0.00035378986,0.00015657544,0.00044836005,0.00025225792,0.00006805235],"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":[0.0005598434,0.00012824766,0.12299836,0.00006496164,0.00014118939,0.00061761454,0.00078412634,0.00068260636,0.84350437,0.00026201122,0.0000690439,0.030187596],"study_design_scores_gemma":[0.000033575474,0.00043625294,0.97436416,0.000008069634,0.00006538015,0.00048826946,0.00015560554,0.0012117525,0.022420771,0.00016564518,0.00062814105,0.000022354125],"about_ca_topic_score_codex":0.0043210513,"about_ca_topic_score_gemma":0.009481131,"teacher_disagreement_score":0.0043210513,"about_ca_system_score_codex":0.0005935542,"about_ca_system_score_gemma":0.00027410008,"threshold_uncertainty_score":0.008591771},"labels":[],"label_agreement":null},{"id":"W2081292310","doi":"10.1111/j.1439-037x.2006.00200.x","title":"Evaluation of Genotype × Environment Interactions in Chinese Spring Wheat by the AMMI Model, Correlation and Path Analysis","year":2006,"lang":"en","type":"article","venue":"Journal of Agronomy and Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Ammi; Path coefficient; Path analysis (statistics); Grain yield; Genotype; Gene–environment interaction; Yield (engineering); Agronomy; Mathematics; Correlation; Spring (device); Crop yield; Crop; Principal component analysis; Biology; Statistics; Engineering","score_opus":0.019034269192422966,"score_gpt":0.22375799254441495,"score_spread":0.204723723351992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081292310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9052523,0.00017032307,0.09285922,0.00013635503,0.000033693635,0.00010640751,0.00046858392,0.0002819181,0.00069129345],"genre_scores_gemma":[0.9710349,0.00009540112,0.027197298,0.000023121796,0.000015566675,0.00017463411,0.0006235822,0.000068213456,0.0007673137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99497,0.0033701474,0.00015322585,0.00080434955,0.0004282517,0.00027398163],"domain_scores_gemma":[0.9918006,0.00630501,0.00073866575,0.00044479434,0.00050786784,0.00020290347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064184982,0.0019814011,0.00089775195,0.0021631224,0.0006100345,0.0011071075,0.00089726335,0.00050698133,0.0019785648],"category_scores_gemma":[0.008657657,0.0004925015,0.0024798587,0.0022585003,0.0007509953,0.0009103913,0.0010582468,0.0011691756,0.00028370452],"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":[0.001536488,0.00082923716,0.69569945,0.00025041663,0.0043387655,0.0013769666,0.0007347979,0.1642151,0.015385731,0.007555249,0.001768533,0.106309205],"study_design_scores_gemma":[0.000058707512,0.0006845434,0.19400571,0.000022951679,0.0005436394,0.00027817115,0.00019121339,0.7982357,0.0017118719,0.003219478,0.0009600868,0.00008799805],"about_ca_topic_score_codex":0.0050592762,"about_ca_topic_score_gemma":0.0034531837,"teacher_disagreement_score":0.0064184982,"about_ca_system_score_codex":0.0006475115,"about_ca_system_score_gemma":0.0013286043,"threshold_uncertainty_score":0.033944666},"labels":[],"label_agreement":null},{"id":"W2085050769","doi":"10.1111/j.1601-5223.1953.tb03397.x","title":"INBREEDING IN AUTOTETRAPLOID RYE","year":2010,"lang":"en","type":"article","venue":"Hereditas","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Inbreeding; Heterosis; Biology; Genetics; Genealogy; Sociology; Demography; Population; Hybrid; History; Botany","score_opus":0.010713333484010023,"score_gpt":0.17689061291629862,"score_spread":0.1661772794322886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085050769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701047,0.00061320135,0.0010723568,0.000025629723,0.000008013613,0.0000121706635,0.00010977378,0.000010787548,0.0011376294],"genre_scores_gemma":[0.9935929,0.0010183009,0.001918315,0.00007950424,0.000010015512,0.000026076756,0.00071417337,0.000019880119,0.002620818],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997352,0.00009512547,0.000028736458,0.0000664257,0.00004529329,0.000029211687],"domain_scores_gemma":[0.9995702,0.000117730284,0.00006845282,0.000109256966,0.000059917344,0.00007442462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000496977,0.00022132162,0.0003121527,0.00044824294,0.00025399626,0.00026695695,0.00033162336,0.00019480589,0.00082533224],"category_scores_gemma":[0.00044803985,0.00015988738,0.00023780708,0.00028293574,0.00015320933,0.00017794948,0.00032219346,0.00031576757,0.0002826338],"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":[0.00011998408,0.00008050634,0.0051276856,0.00006554089,0.000042810738,0.00031190316,0.00029693625,0.00019473668,0.9874255,0.00024296301,0.00011220667,0.005979228],"study_design_scores_gemma":[0.00021813741,0.0044436967,0.42772603,0.00015749954,0.00059368525,0.0051587354,0.0012837017,0.0048456425,0.53430486,0.0015992871,0.019586269,0.000082382205],"about_ca_topic_score_codex":0.0013484829,"about_ca_topic_score_gemma":0.002677129,"teacher_disagreement_score":0.0013484829,"about_ca_system_score_codex":0.00033403744,"about_ca_system_score_gemma":0.00015336952,"threshold_uncertainty_score":0.002761066},"labels":[],"label_agreement":null},{"id":"W2088355025","doi":"10.2135/cropsci2007.05.0254","title":"Breeding Line Selection Based on Multiple Traits","year":2008,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Selection (genetic algorithm); Trait; Biology; Avena; Biotechnology; Culling; Breeding program; Quantitative trait locus; Genomic selection; Index selection; Genotype; Genetics; Computer science; Agronomy; Machine learning; Ecology","score_opus":0.05985369785916165,"score_gpt":0.21733442728039018,"score_spread":0.15748072942122854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088355025","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":[0.44528225,0.0003364119,0.5429445,0.00010146119,0.000058169873,0.0005911531,0.00214715,0.003236138,0.0053027486],"genre_scores_gemma":[0.5673542,0.00022487427,0.41350713,0.00018952589,0.00004759428,0.0004431799,0.008882952,0.00058072706,0.008769764],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986815,0.00039264327,0.00008107568,0.00043642992,0.00031245378,0.0000958044],"domain_scores_gemma":[0.99777406,0.0007749217,0.00028123235,0.000524532,0.0005165627,0.00012871581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024193998,0.0009226227,0.0012069535,0.0013966078,0.00043472913,0.00087532843,0.0009058612,0.00034564396,0.004225492],"category_scores_gemma":[0.002873659,0.0003042566,0.00088129373,0.0013515501,0.00022902252,0.00047426394,0.0007299244,0.00056186767,0.0016898385],"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":[0.0009802268,0.0007025845,0.14212911,0.00023705319,0.001029,0.0006460443,0.00027783794,0.031536054,0.11846889,0.002207697,0.006087351,0.69569814],"study_design_scores_gemma":[0.00034624836,0.0021626658,0.3897973,0.000107817985,0.0016319662,0.0019491679,0.0002756376,0.51032645,0.066802576,0.0048459065,0.02154238,0.00021200141],"about_ca_topic_score_codex":0.0010952699,"about_ca_topic_score_gemma":0.0029840204,"teacher_disagreement_score":0.004225492,"about_ca_system_score_codex":0.00025572468,"about_ca_system_score_gemma":0.00039761755,"threshold_uncertainty_score":0.014135659},"labels":[],"label_agreement":null},{"id":"W2091182409","doi":"10.1111/jac.12097","title":"Evaluation of Flax Genotypes for Cold Tolerance and Yield in South‐East Texas","year":2014,"lang":"en","type":"article","venue":"Journal of Agronomy and Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Crop; Yield (engineering); Agronomy; Genotype; Biology; Biotechnology; Horticulture","score_opus":0.045068101130695044,"score_gpt":0.23137675082442974,"score_spread":0.1863086496937347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091182409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990295,0.000046680572,0.00029775826,0.0000129069085,0.000001979467,0.000015745089,0.00023317727,0.000010257354,0.00035197235],"genre_scores_gemma":[0.99473095,0.00008680823,0.0015951082,0.000036101395,0.0000020055381,0.00003879687,0.0012484343,0.00002352485,0.0022381623],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998512,0.000019910816,0.000015313775,0.000061019433,0.000025699539,0.000026865135],"domain_scores_gemma":[0.9996711,0.000055692617,0.00010655801,0.000025079013,0.000067143665,0.000074476935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024871668,0.00035720263,0.00022603036,0.00062737847,0.00037439424,0.0003330733,0.00027730534,0.00022152958,0.0010094902],"category_scores_gemma":[0.00016450325,0.00010909075,0.00028609426,0.000477137,0.0001922218,0.00020764617,0.00028631446,0.00033848907,0.00017006413],"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":[0.000542612,0.00012841732,0.01262744,0.000035819987,0.000025302308,0.00014473336,0.0002243231,0.00035630917,0.98276377,0.00007129704,0.000059840637,0.0030200833],"study_design_scores_gemma":[0.000059911992,0.0028130673,0.69544095,0.000023667773,0.00015064029,0.00044103738,0.001032362,0.0017840898,0.29400262,0.000059587423,0.004149395,0.000042735253],"about_ca_topic_score_codex":0.006923422,"about_ca_topic_score_gemma":0.019006355,"teacher_disagreement_score":0.006923422,"about_ca_system_score_codex":0.0011334524,"about_ca_system_score_gemma":0.00026800868,"threshold_uncertainty_score":0.013766289},"labels":[],"label_agreement":null},{"id":"W2091587151","doi":"10.1111/j.1439-037x.2006.00209.x","title":"Isoyield Analysis of Barley Cultivar Trials in the Canadian Prairies","year":2006,"lang":"en","type":"article","venue":"Journal of Agronomy and Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture Food and Rural Development; Saskatchewan Ministry of Agriculture; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canola Council of Canada","keywords":"Cultivar; Hordeum vulgare; Regression analysis; Linear regression; Agronomy; Productivity; Regression; Gene–environment interaction; Statistics; Mathematics; Geography; Biology; Environmental science; Poaceae; Genotype","score_opus":0.03898460884831973,"score_gpt":0.24577289998514354,"score_spread":0.20678829113682382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091587151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998005,0.00011588104,0.00084539055,0.0000066897614,0.0000023557832,0.00004177231,0.00041478712,0.000011673617,0.0005565675],"genre_scores_gemma":[0.9942439,0.000116157855,0.0026219327,0.00002218519,0.0000016145125,0.00006519402,0.0020090982,0.000022964703,0.00089686806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979115,0.00031689278,0.00011415411,0.0005249228,0.000926809,0.00020563461],"domain_scores_gemma":[0.9962204,0.0005416332,0.0005612283,0.0003508863,0.0020527947,0.00027306678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020004248,0.00031606786,0.0005983274,0.001234083,0.0012484435,0.00063213205,0.0006691524,0.00017171638,0.00042086918],"category_scores_gemma":[0.0023427168,0.00021720327,0.0003410038,0.0020393478,0.0007060243,0.0002449805,0.0005004286,0.00044138145,0.000096018965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019827096,0.00031172924,0.5797119,0.00019369317,0.00048352944,0.0003324609,0.0032479463,0.0022889539,0.37099862,0.00029054473,0.0005269391,0.039630935],"study_design_scores_gemma":[0.000005290425,0.0001453691,0.9933414,0.0000026571327,0.000025436335,0.000030890533,0.0002626374,0.00035853096,0.005204981,0.000014180288,0.00059649884,0.000012203859],"about_ca_topic_score_codex":0.5202057,"about_ca_topic_score_gemma":0.80111635,"teacher_disagreement_score":0.47979432,"about_ca_system_score_codex":0.006756587,"about_ca_system_score_gemma":0.0030543446,"threshold_uncertainty_score":0.9652399},"labels":[],"label_agreement":null},{"id":"W2092186947","doi":"10.1139/g03-048","title":"Molecular genetic linkage maps for allotetraploid<i>Leymus</i>wildryes (Gramineae: Triticeae)","year":2003,"lang":"en","type":"article","venue":"Genome","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":53,"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":"Strategic Environmental Research and Development Program; U.S. Department of Agriculture; U.S. Department of Defense","keywords":"Leymus; Biology; Amplified fragment length polymorphism; Genetics; Triticeae; Genetic marker; EcoRI; Evolutionary biology; Genome; Gene; Genetic diversity; Population; Restriction enzyme","score_opus":0.018175886580885953,"score_gpt":0.19220374515158506,"score_spread":0.1740278585706991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092186947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97965115,0.000676377,0.013109942,0.00012800572,0.00002375662,0.00013627022,0.0028954674,0.00030404184,0.0030750846],"genre_scores_gemma":[0.90703577,0.0013113177,0.051319752,0.00011786573,0.000023880515,0.0002908202,0.03109857,0.00015422575,0.00864766],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999168,0.000009445651,0.00000815252,0.000029708019,0.000023809132,0.0000121225],"domain_scores_gemma":[0.99987483,0.000021486447,0.000037153375,0.0000124712915,0.00002129063,0.00003266751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013402096,0.00029432902,0.0001320445,0.00089810323,0.00027243007,0.00020551478,0.00031054742,0.0001830593,0.0024331978],"category_scores_gemma":[0.00022149431,0.00016836177,0.0002948947,0.00050780113,0.00011908603,0.00014345055,0.00032497727,0.0004181225,0.0006514426],"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":[0.00013293605,0.00004129017,0.002004399,0.000087821645,0.000018421659,0.00017567184,0.00016794904,0.00015844406,0.9800859,0.0006281968,0.000282667,0.016216218],"study_design_scores_gemma":[0.0005373574,0.0013630239,0.49261552,0.00021843173,0.000485442,0.005627492,0.0008223877,0.0063600885,0.35756436,0.0025316856,0.1317429,0.00013129422],"about_ca_topic_score_codex":0.0030379102,"about_ca_topic_score_gemma":0.004847838,"teacher_disagreement_score":0.0030379102,"about_ca_system_score_codex":0.00060553267,"about_ca_system_score_gemma":0.00041465595,"threshold_uncertainty_score":0.008139908},"labels":[],"label_agreement":null},{"id":"W2096951695","doi":"10.4141/cjps2011-133","title":"Analysis of genotype × environment interaction in rain-fed durum wheat of Iran using GGE-biplot and non-parametric methods","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":24,"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":"Biplot; Gene–environment interaction; Genotype; Grain yield; Agronomy; Interaction; Biology; Yield (engineering); Main effect; Crop; Parametric statistics; Biotechnology; Environmental science; Mathematics; Statistics; Genetics","score_opus":0.06830743711636682,"score_gpt":0.27007526329446435,"score_spread":0.20176782617809752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096951695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971369,0.0002158056,0.026444191,0.000040900424,0.000038017806,0.00007890111,0.0012475144,0.00026805012,0.00029756897],"genre_scores_gemma":[0.95956635,0.000082980674,0.036680385,0.000035207002,0.00000999173,0.00026633576,0.0028986658,0.00013329004,0.00032683328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99358034,0.0036648337,0.0003471175,0.0014457727,0.00068841036,0.00027350007],"domain_scores_gemma":[0.9924899,0.00479321,0.00084021984,0.0011258728,0.0005484735,0.0002022936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055822833,0.0010029987,0.0014182702,0.0017693588,0.0005426862,0.00093418034,0.00095761963,0.00039215,0.0012361965],"category_scores_gemma":[0.0057452135,0.00030714073,0.0027837418,0.0022713924,0.00059244054,0.000588769,0.000612301,0.0011472917,0.00020731759],"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":[0.007013598,0.002076529,0.6724555,0.00067239127,0.005353623,0.0013403984,0.0025455754,0.0128601445,0.10603873,0.0011707285,0.0017921655,0.18668053],"study_design_scores_gemma":[0.000037180056,0.001326368,0.9721729,0.000012670559,0.00023831037,0.00017936381,0.00048403387,0.020803673,0.0034223662,0.0003007869,0.0009652827,0.000056962162],"about_ca_topic_score_codex":0.004400629,"about_ca_topic_score_gemma":0.005909038,"teacher_disagreement_score":0.0055822833,"about_ca_system_score_codex":0.00063529355,"about_ca_system_score_gemma":0.0006040858,"threshold_uncertainty_score":0.0295223},"labels":[],"label_agreement":null},{"id":"W2097991649","doi":"10.7202/706088ar","title":"Comparison of decision methods to initiate fungicide applications against cercospora blight of carrot","year":2005,"lang":"en","type":"article","venue":"Phytoprotection","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal; Agriculture and Agri-Food Canada; McGill University","funders":"McGill University","keywords":"Cercospora; Fungicide; Blight; Biology; Crop; Toxicology; Economic threshold; Relative humidity; Agronomy; Horticulture; Leaf spot; PEST analysis; Geography; Meteorology","score_opus":0.064890130109982,"score_gpt":0.3535023806049537,"score_spread":0.2886122504949717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097991649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582027,0.00074423046,0.03853386,0.0001949974,0.000062230356,0.00016507223,0.00015148688,0.0002473523,0.0016980036],"genre_scores_gemma":[0.98568094,0.0002043313,0.013545339,0.000045449433,0.000009222963,0.00006644664,0.00012870641,0.000011518495,0.0003080856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99847883,0.00075759745,0.00016015464,0.0001797534,0.00027631127,0.0001474041],"domain_scores_gemma":[0.9848033,0.01215127,0.0012961954,0.00031983329,0.0009179313,0.0005114856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004004947,0.0007167243,0.0007229287,0.0007749603,0.00016414179,0.0006506394,0.00062894914,0.0005883424,0.00065371336],"category_scores_gemma":[0.0100831445,0.00032995606,0.00048671052,0.00034657444,0.00019889636,0.0006265216,0.00029531054,0.0006128863,0.00008793294],"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":[0.014604624,0.0017344638,0.041508645,0.000726994,0.00068720547,0.00014443717,0.00036750198,0.66713464,0.018493531,0.0020143518,0.00088156,0.2517021],"study_design_scores_gemma":[0.00054838974,0.0053399955,0.018861454,0.000042099844,0.0002915085,0.000069452086,0.00013783868,0.9597077,0.012478532,0.0014629752,0.0009717137,0.000088463166],"about_ca_topic_score_codex":0.004141507,"about_ca_topic_score_gemma":0.003256925,"teacher_disagreement_score":0.004141507,"about_ca_system_score_codex":0.0014793982,"about_ca_system_score_gemma":0.0010231521,"threshold_uncertainty_score":0.021180391},"labels":[],"label_agreement":null},{"id":"W2102313699","doi":"10.2135/cropsci2008.11.0665","title":"Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution","year":2009,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":325,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biplot; Computer science; Statistics; Biology; Genotype; Mathematics; Genetics","score_opus":0.02315544473263119,"score_gpt":0.21111855412595754,"score_spread":0.18796310939332633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102313699","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032527477,0.0008616703,0.9362541,0.004814073,0.0040004286,0.0006723007,0.0030049158,0.012799546,0.0050654956],"genre_scores_gemma":[0.19542457,0.00055810803,0.78185886,0.0055262106,0.0007534901,0.0016517865,0.0012775281,0.007311934,0.00563749],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.913063,0.06413518,0.0055146795,0.0044105253,0.012237933,0.0006386847],"domain_scores_gemma":[0.67621446,0.24680817,0.01254661,0.038142793,0.025050651,0.0012372436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.061058644,0.0017262232,0.003176215,0.004864279,0.0019793448,0.0038254522,0.0034425226,0.0014545331,0.0071017356],"category_scores_gemma":[0.25442836,0.0010922217,0.0016791271,0.006536462,0.0031649452,0.003106401,0.0022445738,0.00823759,0.0039839065],"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":[0.0032684272,0.000512135,0.054461032,0.005866233,0.003122858,0.0030405535,0.012449759,0.007502425,0.036318492,0.07099869,0.35340703,0.44905242],"study_design_scores_gemma":[0.00034267685,0.0014526548,0.11935596,0.0032560073,0.0009354519,0.0038616166,0.0046529863,0.119946875,0.053661745,0.25715855,0.43428674,0.0010888523],"about_ca_topic_score_codex":0.0028173258,"about_ca_topic_score_gemma":0.004135977,"teacher_disagreement_score":0.061058644,"about_ca_system_score_codex":0.0013695041,"about_ca_system_score_gemma":0.0014246601,"threshold_uncertainty_score":0.3229128},"labels":[],"label_agreement":null},{"id":"W2102703601","doi":"10.6000/1927-5129.2013.09.07","title":"Estimation of Heterosis, Heterobeltiosis and Potence Ratio Over Environments Among Pre and Post Green Revolution Spring wheat in Pakistan","year":2013,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Agriculture, Faisalabad","keywords":"Heterosis; Green Revolution; Grain yield; Yield (engineering); Food security; Biology; Horticulture; Agronomy; Agriculture; Ecology; Hybrid","score_opus":0.01149548125548883,"score_gpt":0.20697976898003959,"score_spread":0.19548428772455076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102703601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997365,0.00001767757,0.000047697955,0.0000027825167,4.5008258e-7,0.0000017426019,0.000054835178,7.4354404e-7,0.00013758992],"genre_scores_gemma":[0.9996043,0.000023623876,0.00007518449,0.000003840233,5.386184e-7,0.0000023673208,0.00013252419,6.6847963e-7,0.00015699441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982566,0.000024734532,0.000012967392,0.00006849245,0.000033987642,0.000034216308],"domain_scores_gemma":[0.99971396,0.00006768899,0.00010742151,0.000025060315,0.000036195353,0.000049663977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022591703,0.00016910862,0.00012616899,0.00041041363,0.00037169608,0.0003525586,0.00013511138,0.00015168593,0.0006764763],"category_scores_gemma":[0.0002766884,0.00010990633,0.00015498932,0.0003718343,0.00028462784,0.00019375204,0.00020921435,0.00021540283,0.00013217248],"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":[0.00027507372,0.00014655117,0.9446946,0.000024735229,0.00005834809,0.00034853222,0.0013178121,0.00021323825,0.04330822,0.00012257263,0.000066799395,0.009423521],"study_design_scores_gemma":[0.0000016909933,0.00011686146,0.9988193,0.0000015942203,0.000005241954,0.000085145344,0.00029726356,0.000080411286,0.00047649036,0.000025346873,0.00008817019,0.0000025187703],"about_ca_topic_score_codex":0.006672742,"about_ca_topic_score_gemma":0.013122833,"teacher_disagreement_score":0.006672742,"about_ca_system_score_codex":0.0003581224,"about_ca_system_score_gemma":0.00022544278,"threshold_uncertainty_score":0.013267815},"labels":[],"label_agreement":null},{"id":"W2104829357","doi":"10.1111/j.1439-0523.2009.01657.x","title":"Genotype by environment interactions of heat stress disorder resistance in crisphead lettuce","year":2009,"lang":"en","type":"article","venue":"Plant Breeding","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Bolting; Cultivar; Crop; Horticulture; Agronomy; Incidence (geometry); Genotype; Resistance (ecology); Animal science; Genetics","score_opus":0.01992625297974397,"score_gpt":0.19922257871534352,"score_spread":0.17929632573559956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104829357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994093,0.000051682593,0.00015359953,0.0000054295983,0.0000015753395,0.000005448214,0.00023878014,0.000009005093,0.0001251711],"genre_scores_gemma":[0.99886465,0.000018139015,0.00022376842,0.0000143321,0.0000011462864,0.000007227405,0.00046578114,0.00001323233,0.00039167158],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994454,0.00015327595,0.000032516004,0.00018514774,0.00010335772,0.00008028263],"domain_scores_gemma":[0.99901974,0.0003978992,0.00016031768,0.00009456488,0.00015192316,0.00017552594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532602,0.00041324677,0.0004625233,0.0009097128,0.0003921225,0.0004526771,0.00026531023,0.00033749774,0.0012657896],"category_scores_gemma":[0.00049039535,0.00015810662,0.00036843488,0.0005213244,0.00035057726,0.00014028735,0.00028625494,0.00035170894,0.00012825463],"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":[0.0016150238,0.00023453153,0.25313005,0.00006283945,0.0004864508,0.00054962747,0.00046518116,0.0009014419,0.7372759,0.000084990395,0.00016845633,0.005025533],"study_design_scores_gemma":[0.000004360966,0.00011186086,0.9971521,0.0000019090317,0.000019754803,0.000046439225,0.000070236594,0.0004906263,0.0019377158,0.000010409912,0.0001464968,0.000008076918],"about_ca_topic_score_codex":0.03762032,"about_ca_topic_score_gemma":0.085079096,"teacher_disagreement_score":0.03762032,"about_ca_system_score_codex":0.0010741932,"about_ca_system_score_gemma":0.00043284846,"threshold_uncertainty_score":0.07480264},"labels":[],"label_agreement":null},{"id":"W2105719137","doi":"10.22004/ag.econ.34183","title":"An Innovative Approach for Modeling Crop Yield Response to Fertilizer Nutrients","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Canola; Fertilizer; Agronomy; Yield (engineering); Mathematics; Nitrogen; Environmental science; Nitrogen fertilizer; Crop; Crop yield; Biology; Chemistry","score_opus":0.10991033421667973,"score_gpt":0.2556056054623683,"score_spread":0.1456952712456886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105719137","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":[0.04807486,0.00011937472,0.9485842,0.000116682946,0.000024921588,0.00006824508,0.00034894742,0.00028885834,0.002373948],"genre_scores_gemma":[0.836,0.00042023865,0.1552739,0.000114024886,0.00003791885,0.00033620792,0.00049041276,0.00008023448,0.007247133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997093,0.000091093854,0.000014249433,0.00008998124,0.00005704303,0.000038155944],"domain_scores_gemma":[0.999742,0.0001484296,0.000041303385,0.00001614907,0.000046403937,0.000005726202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068408105,0.00060064025,0.00044220834,0.00026989338,0.0001615817,0.0005113393,0.0010683058,0.0008984263,0.0013405827],"category_scores_gemma":[0.0014725878,0.0003181797,0.0007798909,0.00052693195,0.00020194278,0.00042564896,0.00040342502,0.00077047566,0.00024877719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003116997,0.00004549599,0.0024429953,0.000050478237,0.00008299096,0.0000584578,0.00003796782,0.9732925,0.0056109834,0.005383254,0.00026360367,0.012699998],"study_design_scores_gemma":[0.0000044052726,0.000019311665,0.0005668641,0.0000018571483,0.000013929131,0.000012190777,0.000004419462,0.9970765,0.00051928166,0.001256864,0.00051984424,0.000004518816],"about_ca_topic_score_codex":0.0123841865,"about_ca_topic_score_gemma":0.008116232,"teacher_disagreement_score":0.0123841865,"about_ca_system_score_codex":0.0005140667,"about_ca_system_score_gemma":0.0006074295,"threshold_uncertainty_score":0.024624169},"labels":[],"label_agreement":null},{"id":"W2111391350","doi":"10.4141/p05-169","title":"Biplot analysis of multi-environment trial data: Principles and applications","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1544,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"PepsiCo","keywords":"Biplot; Computer science; Section (typography); Data mining; Data science; Genotype; Biology","score_opus":0.08544091380495068,"score_gpt":0.2215397800726615,"score_spread":0.13609886626771084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111391350","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00999073,0.0011498394,0.97303987,0.00044089006,0.0003262467,0.0008591395,0.0077144676,0.0037653847,0.0027133285],"genre_scores_gemma":[0.06628867,0.0013206893,0.91655844,0.00036283128,0.00020583795,0.00528776,0.006076947,0.0023624308,0.0015363222],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9632859,0.024988733,0.0029606065,0.0033091877,0.0050186613,0.00043689986],"domain_scores_gemma":[0.9194934,0.054463267,0.0066662426,0.011962138,0.006833315,0.0005816277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02691779,0.0016078944,0.0037813976,0.0066210357,0.0014873737,0.004721234,0.0022980366,0.0009366999,0.01060991],"category_scores_gemma":[0.08913972,0.00094400544,0.0024428582,0.015969114,0.0021395385,0.0029025243,0.0026138234,0.003120486,0.0032631473],"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":[0.0014696989,0.00032247457,0.03235493,0.007415593,0.0031689657,0.0006049727,0.0030887066,0.017991258,0.0098625,0.065908305,0.06220741,0.7956052],"study_design_scores_gemma":[0.0006331955,0.0015923483,0.122656785,0.0024625144,0.0008896727,0.0017925309,0.0025729802,0.14079902,0.016694503,0.36001906,0.3489169,0.0009705289],"about_ca_topic_score_codex":0.0022537133,"about_ca_topic_score_gemma":0.002532649,"teacher_disagreement_score":0.02691779,"about_ca_system_score_codex":0.0011618099,"about_ca_system_score_gemma":0.002037504,"threshold_uncertainty_score":0.14235657},"labels":[],"label_agreement":null},{"id":"W2112539384","doi":"10.1139/g06-063","title":"Genetic and molecular basis of grain size and grain number and its relevance to grain productivity in higher plants","year":2006,"lang":"en","type":"review","venue":"Genome","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":165,"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; Domestication; Agronomy; Grain yield; Grain quality; Crop; Productivity; Crop yield; Biotechnology; Plant breeding; Ecology","score_opus":0.04095742301857195,"score_gpt":0.24181775816719078,"score_spread":0.20086033514861884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112539384","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":[0.0006563553,0.99658895,0.00060352247,0.0002764922,0.00011724948,0.000004468884,0.000042398544,0.00001807585,0.0016924713],"genre_scores_gemma":[0.0024972514,0.9953348,0.00062687567,0.0001118098,0.00009044113,0.0000062821528,0.00007080605,0.0000023626742,0.0012594213],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99989796,0.000010651995,0.000014011026,0.000033761564,0.0000347545,0.000008700806],"domain_scores_gemma":[0.999866,0.000038461454,0.000030781517,0.0000050689073,0.00004286031,0.000016839846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003017126,0.00071290956,0.0011705986,0.001382226,0.00022462168,0.00079354533,0.0007048254,0.0009716437,0.0019955016],"category_scores_gemma":[0.00028294412,0.00023648437,0.00023929412,0.0018871047,0.0005373891,0.0009929342,0.00037151153,0.00091916084,0.0020988788],"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":[0.00014540087,0.00005544655,0.0004949481,0.009618426,0.000055500088,0.0006939434,0.000093092945,0.0007986744,0.024955949,0.0056758425,0.011453184,0.9459595],"study_design_scores_gemma":[0.000023303233,0.000108942775,0.0045213248,0.0012956308,0.00012149678,0.0040032407,0.00013617081,0.0001583443,0.0057932814,0.00459646,0.9792036,0.00003820234],"about_ca_topic_score_codex":0.0010389893,"about_ca_topic_score_gemma":0.0011326218,"teacher_disagreement_score":0.0019955016,"about_ca_system_score_codex":0.0006359699,"about_ca_system_score_gemma":0.0007502614,"threshold_uncertainty_score":0.006675601},"labels":[],"label_agreement":null},{"id":"W2113294251","doi":"10.5376/tgg.2014.05.0001","title":"Estimation of Gene Effects for Grain Yield and its Related Traits Under Normal and Saline Sodic Soil in Barley (&lt;i&gt;Hordeum Vulgare&lt;/i&gt; L.)","year":2014,"lang":"en","type":"article","venue":"Triticeae Genomics and Genetics","topic":"Genetics and Plant Breeding","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":"Hordeum vulgare; Sodic soil; Agronomy; Grain yield; Yield (engineering); Saline; Biology; Poaceae; Mathematics; Materials science","score_opus":0.015090485226319028,"score_gpt":0.20069966527671015,"score_spread":0.18560918005039112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113294251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992986,0.000037243106,0.00036775772,0.000005544538,0.0000017212483,0.0000055834116,0.00014947365,0.000008039445,0.00012604264],"genre_scores_gemma":[0.9971623,0.000060447546,0.0013780588,0.000014944577,0.0000018459571,0.000027160286,0.0005376786,0.000020202126,0.000797257],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996635,0.00008888866,0.000027010361,0.00011386089,0.00006382719,0.000042858082],"domain_scores_gemma":[0.99949265,0.00025693153,0.00007351095,0.000033545213,0.00003845105,0.00010484694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004022691,0.00034618346,0.00028254974,0.00056640717,0.0001558062,0.00017417525,0.00017939895,0.00020325385,0.00077214005],"category_scores_gemma":[0.00036274188,0.0001727049,0.00043943746,0.0003705441,0.00024809974,0.00013135455,0.00026598747,0.00045976366,0.0001227442],"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":[0.0006314366,0.00011154349,0.017136455,0.000046222183,0.00008205499,0.00017158808,0.00016019138,0.00034062573,0.9780051,0.00010365652,0.00002726404,0.0031837954],"study_design_scores_gemma":[0.00003595207,0.0011669475,0.9121689,0.0000062469617,0.0001703405,0.0002722908,0.00018251406,0.002072409,0.08321662,0.000098859295,0.0005801281,0.00002879385],"about_ca_topic_score_codex":0.0020232035,"about_ca_topic_score_gemma":0.0034085033,"teacher_disagreement_score":0.0020232035,"about_ca_system_score_codex":0.00043664064,"about_ca_system_score_gemma":0.00025252116,"threshold_uncertainty_score":0.0040228963},"labels":[],"label_agreement":null},{"id":"W2114236191","doi":"10.5539/jas.v7n1p101","title":"Genetic Parameters of Some Wheat (Triticum aestivum L.) Genotypes Using Factorial Mating Design","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mating design; Heritability; Randomized block design; Biology; Hybrid; Straw; Agronomy; Heterosis; Genetic correlation; Factorial experiment; Genetic gain; Genetic variation; Mathematics; Statistics; Genetics","score_opus":0.04634591026672263,"score_gpt":0.22212631114959444,"score_spread":0.1757804008828718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114236191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99015933,0.00017355624,0.0071724057,0.000042300366,0.000040658804,0.0006097239,0.0008642786,0.00009089131,0.0008469155],"genre_scores_gemma":[0.93687403,0.00025710682,0.05120771,0.00016398972,0.000020219277,0.0035153683,0.0021597352,0.00008358683,0.005718252],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99862707,0.00046871637,0.00014701812,0.00039051822,0.0002049358,0.00016184877],"domain_scores_gemma":[0.9992724,0.00018600264,0.00023086849,0.000085443586,0.00010366804,0.00012169791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010346378,0.0007719723,0.0006429057,0.00081988994,0.00050042884,0.00029935906,0.0004852816,0.00031282005,0.0016264592],"category_scores_gemma":[0.00056182564,0.00031940208,0.00063545705,0.00046867374,0.00032149078,0.00016070419,0.00026142376,0.00060909824,0.00017171081],"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":[0.014070651,0.0071290196,0.017039578,0.0005558656,0.0004330217,0.00042044933,0.0009839431,0.004465709,0.91084445,0.0010013154,0.0006543154,0.04240168],"study_design_scores_gemma":[0.0025659322,0.07295789,0.45705867,0.00012449117,0.0023548126,0.00084350706,0.0010216867,0.020422094,0.41867676,0.0013066026,0.022330927,0.00033667174],"about_ca_topic_score_codex":0.0016627111,"about_ca_topic_score_gemma":0.0033555992,"teacher_disagreement_score":0.0016627111,"about_ca_system_score_codex":0.0006606357,"about_ca_system_score_gemma":0.0006116425,"threshold_uncertainty_score":0.0054717064},"labels":[],"label_agreement":null},{"id":"W2115916550","doi":"10.5539/jas.v6n6p148","title":"Selection of Tomato Hybrids With Zingiberene Concentration for Breeding Programs to Pest Resistance","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","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":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Diallel cross; Hybrid; Germplasm; PEST analysis; Biology; Horticulture; Resistance (ecology); Botany; Agronomy","score_opus":0.016669731086986876,"score_gpt":0.20626154647521155,"score_spread":0.18959181538822467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115916550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99237,0.00039290183,0.0032509489,0.000072197334,0.000019328332,0.00020148425,0.0008938099,0.00010127168,0.0026980066],"genre_scores_gemma":[0.97508293,0.00048538137,0.009304216,0.00013648988,0.000012481237,0.00019477464,0.0042186272,0.00021898204,0.010346159],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970067,0.00003995327,0.000027330707,0.00010313626,0.0000823711,0.000046689216],"domain_scores_gemma":[0.99975127,0.000054669265,0.000047968766,0.000023878312,0.00003432164,0.000087959634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022165275,0.00036306656,0.00038363872,0.0007417642,0.00032549043,0.00030532415,0.0003244176,0.00041828898,0.003838441],"category_scores_gemma":[0.0001967373,0.00023679234,0.00037696064,0.0003740669,0.00017492338,0.00018887992,0.000414325,0.0008099079,0.0006651471],"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":[0.000035297093,0.000038025493,0.0003924939,0.000011204108,0.000006281166,0.00005479855,0.000024955118,0.000013918415,0.9986058,0.000036809695,0.000015188302,0.000765152],"study_design_scores_gemma":[0.00013436352,0.0023616878,0.17224506,0.000039348834,0.00028852717,0.0020947072,0.00060476677,0.0012578646,0.80217296,0.00019606834,0.018523127,0.00008155118],"about_ca_topic_score_codex":0.0007968188,"about_ca_topic_score_gemma":0.002034366,"teacher_disagreement_score":0.003838441,"about_ca_system_score_codex":0.0004232369,"about_ca_system_score_gemma":0.00018866519,"threshold_uncertainty_score":0.012840867},"labels":[],"label_agreement":null},{"id":"W2118127575","doi":"10.2135/cropsci2009.01.0029","title":"When Is Early Generation Selection Effective in Self‐Pollinated Crops?","year":2009,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Heritability; Selection (genetic algorithm); Additive genetic effects; Linkage (software); Genetics; Genetic correlation; Genetic variation; Evolutionary biology; Biotechnology; Gene; Computer science","score_opus":0.018354236105855896,"score_gpt":0.2173943357434694,"score_spread":0.1990400996376135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118127575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96113616,0.0024542976,0.029143268,0.0009008893,0.00007552624,0.000041671738,0.00012115394,0.0002090888,0.0059179747],"genre_scores_gemma":[0.99478275,0.00044228096,0.0032867454,0.00046964997,0.000035793768,0.000021934735,0.000069225105,0.00007200592,0.0008195436],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975568,0.0013460619,0.00013496206,0.0004077385,0.00035820625,0.0001962333],"domain_scores_gemma":[0.98414665,0.011700249,0.0013750601,0.0015356794,0.0007710012,0.00047135775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071030976,0.00029559815,0.00074309576,0.00050251896,0.0002560411,0.0011398868,0.0008953989,0.0007486762,0.0018404084],"category_scores_gemma":[0.010577883,0.0002535211,0.00042482713,0.00031950473,0.00090315024,0.0012151917,0.00073927914,0.00078414794,0.00031093255],"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":[0.0022192693,0.00057193096,0.31427908,0.0008229956,0.001005044,0.0019450928,0.0008211579,0.015909418,0.33639073,0.01474747,0.0024397313,0.3088481],"study_design_scores_gemma":[0.0002744066,0.0027454707,0.8176983,0.00028201373,0.0008358465,0.0031701156,0.0010345702,0.07430483,0.061501566,0.027864598,0.010074942,0.00021347222],"about_ca_topic_score_codex":0.00072396215,"about_ca_topic_score_gemma":0.0015035126,"teacher_disagreement_score":0.0071030976,"about_ca_system_score_codex":0.0004937038,"about_ca_system_score_gemma":0.00030902613,"threshold_uncertainty_score":0.03756523},"labels":[],"label_agreement":null},{"id":"W2118312111","doi":"10.1556/crc.37.2009.1.13","title":"Exploring associations between agronomic and chemical composition traits for barley improvement","year":2009,"lang":"en","type":"article","venue":"Cereal Research Communications","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Hordeum vulgare; Test weight; Agronomy; Biology; Cultivar; Trait; Starch; Selection (genetic algorithm); Chemical composition; Composition (language); Biotechnology; Poaceae; Genotype; Food science; Chemistry","score_opus":0.5000569565963662,"score_gpt":0.3744764934392669,"score_spread":0.12558046315709925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118312111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99726045,0.00028855744,0.001380727,0.00010067866,0.000007480579,0.000017466004,0.00022049312,0.000025359479,0.00069874444],"genre_scores_gemma":[0.9941064,0.00031346772,0.0041413293,0.00006546622,0.0000086052205,0.000012705182,0.0002990018,0.000023039023,0.0010299338],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997485,0.000092403694,0.000015619838,0.00006484736,0.000041694035,0.000036918827],"domain_scores_gemma":[0.99925417,0.00037078807,0.00015214238,0.000029243502,0.000057133708,0.00013646854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073187327,0.0004015132,0.00041102778,0.0008405994,0.0003343487,0.0006223717,0.00038127482,0.00043086626,0.0023525322],"category_scores_gemma":[0.0007694305,0.00024242183,0.00032083096,0.0012056613,0.00022790811,0.0003912443,0.00025791125,0.0006766123,0.00023782477],"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":[0.0021212376,0.0005124425,0.08133182,0.00012180924,0.00015956796,0.00029712252,0.00011836098,0.000806114,0.88754886,0.0003999227,0.000111542264,0.02647112],"study_design_scores_gemma":[0.00017324548,0.0014048746,0.9069589,0.000019465373,0.00038629558,0.00035371413,0.0002885576,0.004003904,0.083520405,0.00068766647,0.002164176,0.000038749895],"about_ca_topic_score_codex":0.003542418,"about_ca_topic_score_gemma":0.0061227987,"teacher_disagreement_score":0.003542418,"about_ca_system_score_codex":0.0006082794,"about_ca_system_score_gemma":0.0007410912,"threshold_uncertainty_score":0.0078700185},"labels":[],"label_agreement":null},{"id":"W2118666993","doi":"10.1139/g03-035","title":"Genetics of drought tolerance during seed germination in tomato: inheritance and QTL mapping","year":2003,"lang":"en","type":"article","venue":"Genome","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":123,"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":"University of California, Davis; North Carolina State University","keywords":"Biology; Germination; Lycopersicon; Population; Quantitative trait locus; Restriction fragment length polymorphism; Heritability; Marker-assisted selection; Horticulture; Genetics; Genotype; Gene","score_opus":0.018458773006930586,"score_gpt":0.18754042883056696,"score_spread":0.16908165582363638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118666993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984762,0.000080581915,0.0011327262,0.00000818077,8.7713505e-7,0.000011370175,0.00011534882,0.000018285973,0.00015646021],"genre_scores_gemma":[0.994735,0.00016228683,0.0034462349,0.00001737886,0.0000029345626,0.00003275682,0.0006671494,0.000028904018,0.00090740353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990916,0.000010172115,0.0000071301756,0.000036941037,0.000025650414,0.00001098238],"domain_scores_gemma":[0.99984443,0.000023565142,0.000047066485,0.000011222542,0.00002405065,0.000049545037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015066896,0.00029888426,0.00022998312,0.00044216285,0.0002230207,0.00016737545,0.00027872686,0.00017499244,0.00082203967],"category_scores_gemma":[0.00016412065,0.00017432446,0.00015573535,0.00023114232,0.00013689269,0.00014414698,0.0002413927,0.00027504773,0.000161412],"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":[0.000046814184,0.000020935979,0.0021839147,0.000012429628,0.000004296368,0.000022994684,0.000024378169,0.000086074666,0.9957802,0.000015702068,0.000008837055,0.0017935387],"study_design_scores_gemma":[0.00007304458,0.0006307748,0.7597682,0.000015321113,0.00008658241,0.001614246,0.00010871639,0.0062661953,0.22968055,0.00010335821,0.0016108681,0.00004211717],"about_ca_topic_score_codex":0.0030208991,"about_ca_topic_score_gemma":0.0062753954,"teacher_disagreement_score":0.0030208991,"about_ca_system_score_codex":0.00042594384,"about_ca_system_score_gemma":0.0002328828,"threshold_uncertainty_score":0.006006658},"labels":[],"label_agreement":null},{"id":"W2119602827","doi":"10.5539/jas.v4n10p97","title":"Response Estimation of Wheat Synthetic Lines to Terminal Heat Stress Using Stress Indices","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":31,"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":"Randomized block design; Heat stress; Stress (linguistics); Crop; Sowing; Animal science; Biology; Genotype; Horticulture; Agronomy; Genetics","score_opus":0.03515597993829417,"score_gpt":0.26219215661659984,"score_spread":0.22703617667830567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119602827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995042,0.000016154592,0.00033329922,0.0000029308858,0.0000015111531,0.0000064240635,0.000083505955,0.000006451415,0.00004556784],"genre_scores_gemma":[0.99782324,0.000033933877,0.0009810202,0.000012160784,0.0000015031155,0.000034314366,0.00066562055,0.000007641238,0.00044053883],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998901,0.00002346257,0.00001534156,0.000031375854,0.000025381767,0.000014252513],"domain_scores_gemma":[0.9997545,0.0000385034,0.00007809207,0.000027925746,0.000038271082,0.000062718645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015274445,0.00030236167,0.00019432652,0.00020798223,0.000085862244,0.00013077928,0.0001140459,0.00013003145,0.00059712987],"category_scores_gemma":[0.000236316,0.00011356137,0.0001853275,0.0001407233,0.000119613986,0.00007967894,0.00013793647,0.00019659873,0.000100199686],"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":[0.000581182,0.00012142996,0.012554549,0.000034184257,0.000027585245,0.000058119665,0.00008795078,0.00030862103,0.9833672,0.000031410098,0.000027603983,0.0028001512],"study_design_scores_gemma":[0.000114903654,0.011560311,0.5950963,0.000012211552,0.00016248207,0.00056509743,0.00035666156,0.0044418587,0.38552824,0.00015352144,0.0019633062,0.000045214885],"about_ca_topic_score_codex":0.0004382068,"about_ca_topic_score_gemma":0.0006384304,"teacher_disagreement_score":0.00059712987,"about_ca_system_score_codex":0.00017998219,"about_ca_system_score_gemma":0.00008457594,"threshold_uncertainty_score":0.00199759},"labels":[],"label_agreement":null},{"id":"W2121804808","doi":"10.1111/j.1469-8137.2007.02067.x","title":"When is breeding for drought tolerance optimal if drought is random?","year":2007,"lang":"en","type":"article","venue":"New Phytologist","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Drought tolerance; Soil water; Agronomy; Selection (genetic algorithm); Adaptation (eye); Environmental science; Biology; Trait; Growth rate; Ecology; Mathematics; Computer science","score_opus":0.03948005229695852,"score_gpt":0.25002884248032653,"score_spread":0.210548790183368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121804808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71905875,0.02547051,0.10073838,0.089645244,0.0010470955,0.00017463503,0.0014087596,0.0004487538,0.062007822],"genre_scores_gemma":[0.9783985,0.0028740976,0.011801539,0.0048122206,0.00031833406,0.000072423674,0.00019625106,0.0000914066,0.0014351717],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99734455,0.0011367432,0.00017376966,0.00060926855,0.00027645816,0.0004592122],"domain_scores_gemma":[0.9915767,0.0052967155,0.0013390816,0.0004998998,0.0005164461,0.0007711605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061601982,0.00019631776,0.0010282878,0.00058185036,0.0004493084,0.0018945372,0.0005727341,0.001528882,0.0033958845],"category_scores_gemma":[0.018080177,0.00029765608,0.00043832356,0.00064906204,0.0025841284,0.0024518813,0.0005988833,0.0009557392,0.00053377554],"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":[0.0016086178,0.00050335104,0.22874007,0.0015824655,0.0012796302,0.0011469794,0.00080521306,0.026630579,0.025905414,0.15240721,0.019926172,0.53946435],"study_design_scores_gemma":[0.00017398017,0.0004940774,0.37490332,0.00044987502,0.00040453265,0.0012444723,0.0034325612,0.01726581,0.0063291593,0.5648451,0.030291552,0.00016551462],"about_ca_topic_score_codex":0.0018011214,"about_ca_topic_score_gemma":0.0031330332,"teacher_disagreement_score":0.0061601982,"about_ca_system_score_codex":0.0016754136,"about_ca_system_score_gemma":0.0010718365,"threshold_uncertainty_score":0.032578647},"labels":[],"label_agreement":null},{"id":"W2124517507","doi":"10.5539/jas.v7n3p49","title":"Assessment of Multiple Tolerance Indices for Salinity Stress in Bread Wheat (Triticum aestivum L.)","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":69,"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":"Salinity; Hectare; Principal component analysis; Mathematics; Crop; Productivity; Yield (engineering); Index (typography); Crop yield; Agronomy; Statistics; Biology; Ecology","score_opus":0.05262708199083784,"score_gpt":0.2791377303779498,"score_spread":0.22651064838711196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124517507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701524,0.0002482511,0.0021129525,0.000013292556,0.000006086188,0.00001766776,0.00031439995,0.00003201028,0.00024011123],"genre_scores_gemma":[0.9942555,0.00015676775,0.0043421597,0.00001448844,0.00000341077,0.000037141763,0.0007596441,0.00001304607,0.0004178911],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999686,0.00004708367,0.000047312238,0.00007952416,0.000109975714,0.000030106487],"domain_scores_gemma":[0.9996165,0.00004759695,0.00014485985,0.000023361095,0.00011376644,0.000053826298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005290345,0.0005248842,0.0005830759,0.0011586453,0.00020647128,0.0005034872,0.00017230799,0.00023809363,0.00033970995],"category_scores_gemma":[0.00041186382,0.00015825428,0.00055763446,0.0011443469,0.00014477441,0.00028699962,0.00029218596,0.00048375592,0.000115610696],"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":[0.0005425056,0.00032279274,0.13591862,0.00020341495,0.00022770317,0.00013759505,0.000445414,0.0012343156,0.8315541,0.000075206786,0.00017807346,0.029160207],"study_design_scores_gemma":[0.000011056782,0.0014088486,0.9555649,0.000013729504,0.00014225142,0.00017950566,0.0003078623,0.003908027,0.03772012,0.00009454603,0.0006181148,0.000031041614],"about_ca_topic_score_codex":0.0013373806,"about_ca_topic_score_gemma":0.0017431272,"teacher_disagreement_score":0.0013373806,"about_ca_system_score_codex":0.0002262697,"about_ca_system_score_gemma":0.00018129671,"threshold_uncertainty_score":0.002797842},"labels":[],"label_agreement":null},{"id":"W2127562796","doi":"10.4141/cjps2012-191","title":"CO448 corn inbred line","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Inbred strain; Zea mays; Stalk; Hybrid; Biology; Agronomy; Line (geometry); Mathematics; Horticulture; Genetics; Gene","score_opus":0.030203017244677298,"score_gpt":0.17407628305837974,"score_spread":0.14387326581370244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127562796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62670064,0.0046036476,0.0719228,0.00084711146,0.0013169227,0.004144597,0.13402893,0.005729619,0.15070583],"genre_scores_gemma":[0.47547814,0.0025161318,0.07087011,0.00091235124,0.0001180074,0.0031562643,0.21737137,0.0017006191,0.22787704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945265,0.000059149846,0.00004056936,0.000104969506,0.0002620475,0.0000806415],"domain_scores_gemma":[0.99966514,0.000028450264,0.00006309066,0.00005323691,0.00011327817,0.00007675084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035810005,0.001189711,0.00031056255,0.0022954645,0.0010399647,0.0004748373,0.0011122837,0.0005938805,0.023881502],"category_scores_gemma":[0.00033247337,0.0004111616,0.00038367143,0.0011410596,0.00023841459,0.00032192323,0.0008427985,0.0010756222,0.012824256],"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":[0.0014952656,0.0005428503,0.00354072,0.00026039538,0.0000831512,0.00043828637,0.000117628806,0.00048598924,0.8979008,0.0062531554,0.021420522,0.06746134],"study_design_scores_gemma":[0.0007454477,0.000918776,0.041758154,0.00012332857,0.00020557303,0.0026690913,0.00017171208,0.0034390988,0.2723034,0.0019039314,0.6755794,0.00018210294],"about_ca_topic_score_codex":0.0053023146,"about_ca_topic_score_gemma":0.012204327,"teacher_disagreement_score":0.023881502,"about_ca_system_score_codex":0.00059190433,"about_ca_system_score_gemma":0.00069626013,"threshold_uncertainty_score":0.07989156},"labels":[],"label_agreement":null},{"id":"W2128162997","doi":"10.5539/jas.v4n6p54","title":"Comparative Evaluation of Water Deficit Tolerance Capacity of Extra-early and Early Maize Genotypes under Controlled Conditions","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Germination; Crop; Water content; Agronomy; Irrigation; Sowing; Breed; Biology; Relative growth rate; Moisture; Leaf area index; Growth rate; Mathematics; Animal science; Geography","score_opus":0.0791843702778891,"score_gpt":0.26230112952311563,"score_spread":0.18311675924522652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128162997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993254,0.00007987948,0.0002681852,0.000005009699,0.0000047498825,0.000015200782,0.00014821826,0.000007603911,0.00014585984],"genre_scores_gemma":[0.9972307,0.00012687793,0.00079347426,0.000021794387,0.000004753026,0.000051323925,0.0006048601,0.000018152743,0.0011480149],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998375,0.000025805675,0.000016109632,0.000055656863,0.000033921922,0.000030893214],"domain_scores_gemma":[0.99957484,0.00009481444,0.00011786429,0.000040281684,0.00005516402,0.00011705128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021311846,0.00035612463,0.00031096456,0.00032051085,0.00022463707,0.00029311617,0.00017828796,0.0001917627,0.0006632316],"category_scores_gemma":[0.00021935065,0.00015301895,0.00028395347,0.0002213077,0.00022623455,0.00022350073,0.00028750105,0.000601405,0.00011248117],"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":[0.00034110027,0.0001371672,0.0016099819,0.000025616198,0.000014802265,0.000045473855,0.00009872088,0.00007947324,0.9968484,0.00003558177,0.000008978626,0.00075459806],"study_design_scores_gemma":[0.000084799205,0.011909379,0.3591802,0.00002333048,0.00020015398,0.0003026762,0.00065530936,0.0017557362,0.6226247,0.00017840695,0.003007976,0.00007739751],"about_ca_topic_score_codex":0.0012055604,"about_ca_topic_score_gemma":0.0016770805,"teacher_disagreement_score":0.0012055604,"about_ca_system_score_codex":0.00028329963,"about_ca_system_score_gemma":0.00016365186,"threshold_uncertainty_score":0.00239712},"labels":[],"label_agreement":null},{"id":"W2129113310","doi":"10.2135/cropsci2007.11.0632","title":"Using Factor Analytic Models for Joining Environments and Genotypes without Crossover Genotype × Environment Interaction","year":2008,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Biology; Best linear unbiased prediction; Crossover; Genotype; Covariance; Statistics; Gene–environment interaction; Mixed model; Linear model; Cluster analysis; Mathematics; Genetics; Artificial intelligence; Computer science; Selection (genetic algorithm); Gene","score_opus":0.14854388709524446,"score_gpt":0.2653094356752945,"score_spread":0.11676554858005006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129113310","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072839283,0.000055892302,0.9916522,0.000039160816,0.000021378959,0.00012061448,0.00023041805,0.00025049192,0.00034604248],"genre_scores_gemma":[0.13466859,0.00023896346,0.85845995,0.000101472244,0.00004555916,0.0020663603,0.0016779584,0.00022426673,0.0025168692],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9884566,0.0060756537,0.00036397157,0.0037182588,0.0010816412,0.00030391078],"domain_scores_gemma":[0.9840789,0.008805137,0.0025548462,0.003184475,0.0011660869,0.00021060897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011725815,0.0021874928,0.0015325602,0.0023431245,0.00095564366,0.0023890713,0.002646119,0.0013364905,0.0046500484],"category_scores_gemma":[0.028202541,0.00094683387,0.0034748984,0.0035307826,0.0017226697,0.0029510565,0.0018574992,0.0021179898,0.0016697327],"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":[0.0007048786,0.00060664216,0.046637278,0.0006698023,0.0026957234,0.0003849079,0.0028825398,0.32408327,0.009412688,0.16266033,0.00534628,0.44391558],"study_design_scores_gemma":[0.0001028444,0.0006725137,0.015459751,0.00013938503,0.00034768364,0.00031871608,0.00045439176,0.79118633,0.0038131028,0.1698755,0.017402831,0.0002269078],"about_ca_topic_score_codex":0.0075929766,"about_ca_topic_score_gemma":0.008776329,"teacher_disagreement_score":0.011725815,"about_ca_system_score_codex":0.0016305457,"about_ca_system_score_gemma":0.0017331013,"threshold_uncertainty_score":0.06201279},"labels":[],"label_agreement":null},{"id":"W2130505531","doi":"10.3389/fgene.2014.00227","title":"Analysis of linear and non-linear genotype Ã— environment interaction","year":2014,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gene–environment interaction; Interaction; Statistics; Cauchy distribution; Quantitative trait locus; Range (aeronautics); Linear model; Mathematics; Linear regression; Function (biology); Genotype; Nonlinear system; Biology; Genetics; Engineering","score_opus":0.01454175388660455,"score_gpt":0.1981207808336345,"score_spread":0.18357902694702993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130505531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8035406,0.00061326945,0.18839328,0.00013629867,0.000060046754,0.0002788329,0.0030288203,0.001626797,0.0023220344],"genre_scores_gemma":[0.92996955,0.00014265631,0.063902706,0.00014756137,0.000012472494,0.0006978217,0.001961339,0.0006490171,0.0025167945],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9926906,0.003676677,0.00045094607,0.0017130338,0.0010422567,0.00042646413],"domain_scores_gemma":[0.9716637,0.024333337,0.0011208577,0.0017975494,0.0007389595,0.00034554623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006139558,0.0014665709,0.0013929424,0.0018290472,0.00043964677,0.0009975961,0.0010432453,0.0008019422,0.0036220022],"category_scores_gemma":[0.013042993,0.0004232135,0.0024232008,0.0020281533,0.00074976933,0.00081682217,0.0011114454,0.0015686832,0.0006974918],"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":[0.005840042,0.00179409,0.31015858,0.0014216119,0.00636359,0.0022673118,0.0011522284,0.028005617,0.4861192,0.0057494706,0.002405495,0.14872284],"study_design_scores_gemma":[0.00009425332,0.003100927,0.7898682,0.000047841346,0.0008442326,0.0008588696,0.00043253528,0.15912557,0.03438371,0.0052262014,0.0057579377,0.00025968024],"about_ca_topic_score_codex":0.0028266811,"about_ca_topic_score_gemma":0.002771991,"teacher_disagreement_score":0.006139558,"about_ca_system_score_codex":0.0006515681,"about_ca_system_score_gemma":0.0009401808,"threshold_uncertainty_score":0.03246951},"labels":[],"label_agreement":null},{"id":"W2131242792","doi":"10.1007/s11032-013-0006-y","title":"Genetics of pre-harvest sprouting resistance in a cross of Canadian adapted durum wheat genotypes","year":2014,"lang":"en","type":"article","venue":"Molecular Breeding","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Scheme for Promotion of Academic and Research Collaboration; Western Grains Research Foundation","keywords":"Biology; Heritability; Population; Quantitative trait locus; Genotype; Sprouting; Doubled haploidy; Agronomy; Resistance (ecology); Grain yield; Horticulture; Genetics; Gene","score_opus":0.01858825879686399,"score_gpt":0.20182082166200607,"score_spread":0.18323256286514208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131242792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777895,0.00011754779,0.000567802,0.000029639612,0.000004910002,0.000029205594,0.00032394292,0.000026599046,0.0011214354],"genre_scores_gemma":[0.98556954,0.00032724513,0.002829664,0.00009373647,0.0000043683995,0.00003410444,0.0020292746,0.00006670031,0.009045409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969864,0.00002090695,0.00001926847,0.000086281034,0.00010815546,0.000066639885],"domain_scores_gemma":[0.999746,0.00003608044,0.000034738616,0.00001837663,0.000059863738,0.00010500123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019758401,0.0005179514,0.00022125221,0.0006035886,0.0007214033,0.0003445154,0.00041359555,0.00029141756,0.0010526879],"category_scores_gemma":[0.00017269303,0.00024538024,0.00026288116,0.00035706066,0.00027568018,0.00010439515,0.0003531956,0.0005980133,0.00017558344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035061757,0.00014229416,0.007724489,0.000030361947,0.00003298566,0.0003342314,0.00039294257,0.00021225415,0.9841204,0.0002031278,0.00010509387,0.006351129],"study_design_scores_gemma":[0.000107090724,0.00095464895,0.8388048,0.00003472578,0.00019983269,0.0014546681,0.000913755,0.002381532,0.1451535,0.000098730576,0.009810862,0.000086002554],"about_ca_topic_score_codex":0.44031146,"about_ca_topic_score_gemma":0.66844857,"teacher_disagreement_score":0.55968857,"about_ca_system_score_codex":0.0044119623,"about_ca_system_score_gemma":0.0025068698,"threshold_uncertainty_score":0.8754971},"labels":[],"label_agreement":null},{"id":"W2134224844","doi":"","title":"Application of supervised feature selection methods to define the most important traits affecting maximum kernel water content in maize","year":2011,"lang":"en","type":"article","venue":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Shiraz University; Universidad Nacional de Rosario","keywords":"Kernel (algebra); Sowing; Agronomy; Selection (genetic algorithm); Mathematics; Feature selection; Water content; Agriculture; Biology; Machine learning; Computer science; Engineering; Ecology","score_opus":0.14765592898306673,"score_gpt":0.2987252743298883,"score_spread":0.1510693453468216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134224844","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74044496,0.000360339,0.25661555,0.00010049853,0.00003780214,0.00011741706,0.0007167325,0.00083675375,0.0007699951],"genre_scores_gemma":[0.9322887,0.000061262836,0.065807045,0.000023766655,0.000021303054,0.00011981511,0.0011975287,0.00003373886,0.00044679933],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995191,0.0001783741,0.000043920132,0.000112936104,0.0000880159,0.000057521822],"domain_scores_gemma":[0.99898,0.00051468826,0.00011879515,0.000058746264,0.00029590467,0.000031779484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010982419,0.00072585884,0.0006125301,0.0010527981,0.00021736756,0.00036268603,0.00034464087,0.00028863587,0.00034650989],"category_scores_gemma":[0.0020596432,0.000106317704,0.00074440095,0.0006266724,0.00015244368,0.00026404142,0.00024167387,0.00027196735,0.00013213947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010230112,0.00082490913,0.06846965,0.00026457806,0.000494802,0.0003096225,0.00030728654,0.18743052,0.07489395,0.0005790711,0.0021925517,0.6632101],"study_design_scores_gemma":[0.00005628942,0.00035289154,0.06537626,0.000015393149,0.00012644808,0.0001295858,0.00014872494,0.91409034,0.017883558,0.00084442744,0.0009343623,0.000041736344],"about_ca_topic_score_codex":0.0028515318,"about_ca_topic_score_gemma":0.0021712014,"teacher_disagreement_score":0.0028515318,"about_ca_system_score_codex":0.000239835,"about_ca_system_score_gemma":0.0005217477,"threshold_uncertainty_score":0.0058081746},"labels":[],"label_agreement":null},{"id":"W2134973620","doi":"10.5539/jas.v4n11p78","title":"Evaluating of Drought Stress Tolerance Based on Selection Indices in Spring Canola Cultivars (Brassica napus L.)","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":78,"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":"Cultivar; Drought tolerance; Canola; Brassica; Agronomy; Randomized block design; Biology; Drought stress; Horticulture","score_opus":0.037960575838307205,"score_gpt":0.2709368245019682,"score_spread":0.232976248663661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134973620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99919766,0.00018274238,0.0002727519,0.000009579739,0.000002209408,0.000009995877,0.0001445683,0.000016107093,0.0001642903],"genre_scores_gemma":[0.9962573,0.00022470835,0.0019014272,0.00002803458,0.0000033761005,0.00004023178,0.0009718229,0.000010422097,0.0005627001],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997801,0.00004089603,0.000022888453,0.000065255765,0.000065852226,0.000024956054],"domain_scores_gemma":[0.99968696,0.00006018918,0.00008570906,0.000020120513,0.00007540132,0.000071638424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004810819,0.0004049408,0.000363718,0.00081847387,0.00021379029,0.0002784822,0.00018148712,0.00017733919,0.00031588803],"category_scores_gemma":[0.0003448989,0.00012639789,0.00023429841,0.00056566345,0.00011072885,0.00018118093,0.00016028702,0.00025421917,0.00008222573],"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":[0.0005828563,0.00013353748,0.050600864,0.00012715165,0.000083286846,0.00011727855,0.00026066747,0.00036405196,0.9386188,0.000034462013,0.00007497793,0.009002149],"study_design_scores_gemma":[0.00001865176,0.0013066368,0.9397394,0.0000073616447,0.00011136884,0.00018100961,0.00023405917,0.0014543525,0.055923462,0.000040246592,0.0009549231,0.000028622404],"about_ca_topic_score_codex":0.0035881943,"about_ca_topic_score_gemma":0.0061692814,"teacher_disagreement_score":0.0035881943,"about_ca_system_score_codex":0.00037218627,"about_ca_system_score_gemma":0.00022852671,"threshold_uncertainty_score":0.0071346164},"labels":[],"label_agreement":null},{"id":"W2135528717","doi":"10.1590/s1415-47572002000400015","title":"Nine cycles of mass selection for increasing oil content in two maize (Zea mays L.) synthetics","year":2002,"lang":"en","type":"article","venue":"Genetics and Molecular Biology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heritability; Biology; Population; Dominance (genetics); Selection (genetic algorithm); Animal science; Agronomy; Demography; Genetics","score_opus":0.04230015817394748,"score_gpt":0.23933129963658364,"score_spread":0.19703114146263617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135528717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99947435,0.000020891619,0.0003567722,0.0000034574566,0.0000013618953,0.00001063854,0.000041754814,0.000008302396,0.000082586506],"genre_scores_gemma":[0.9960212,0.00005192819,0.0023820384,0.000028273715,0.000003420136,0.000071862036,0.0005329692,0.000018673034,0.0008895974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981374,0.0000379189,0.000015478454,0.00006121409,0.000046014917,0.00002567763],"domain_scores_gemma":[0.99958867,0.00010697359,0.00010501804,0.000048144633,0.000052261305,0.00009893968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022538798,0.00035699242,0.000278163,0.00030526452,0.00021717387,0.00021229323,0.00032101516,0.00017869711,0.00049079116],"category_scores_gemma":[0.00038048255,0.00018307325,0.00027614,0.00019448556,0.00021261351,0.0001080236,0.00038356244,0.00031324322,0.000077132936],"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":[0.0006274516,0.00013030764,0.0060847295,0.000021858947,0.0000295018,0.000040394076,0.0000978552,0.00030097747,0.98718876,0.000052674663,0.000016180244,0.0054092617],"study_design_scores_gemma":[0.0002049644,0.008155775,0.4445645,0.0000115893545,0.00026030344,0.00032045654,0.0003575459,0.0064692404,0.5362341,0.00016266614,0.0031900438,0.00006882334],"about_ca_topic_score_codex":0.0017346407,"about_ca_topic_score_gemma":0.0032500406,"teacher_disagreement_score":0.0017346407,"about_ca_system_score_codex":0.0005565531,"about_ca_system_score_gemma":0.00021325465,"threshold_uncertainty_score":0.004038155},"labels":[],"label_agreement":null},{"id":"W2136033507","doi":"10.5376/pgt.2014.05.0009","title":"Estimation of Genetic relatedness among the germplasm accessions of Pearl millet [&lt;i&gt;Pennisetum glaucum&lt;/i&gt; (L.) R. Br.]","year":2014,"lang":"en","type":"article","venue":"Plant Gene and Trait","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pennisetum; Germplasm; Pearl; Biology; Horticulture; Agronomy; Botany; Geography","score_opus":0.015229541524876386,"score_gpt":0.19089003088499126,"score_spread":0.17566048936011489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136033507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99943227,0.000024846036,0.00020847739,0.0000043314876,7.694832e-7,0.000009351357,0.00015770609,0.000002662543,0.0001595322],"genre_scores_gemma":[0.99682885,0.00004184031,0.0014902333,0.00000665857,0.0000017823243,0.000015558871,0.0014025071,0.0000029857567,0.00020961475],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997751,0.000051689476,0.000027863913,0.000070073795,0.000052735406,0.000022537377],"domain_scores_gemma":[0.99972457,0.000052740434,0.000105374944,0.00003677819,0.000037796748,0.0000427661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025835523,0.0001594106,0.00018940562,0.0010555168,0.0003374212,0.000273107,0.0001449898,0.00017506604,0.0006166923],"category_scores_gemma":[0.00053907715,0.0001060155,0.00012465003,0.000930774,0.0001191652,0.000119145996,0.00021204441,0.00025568492,0.00018441617],"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":[0.00028181143,0.00020125274,0.80892485,0.00009534862,0.00016833523,0.00042223008,0.0016910735,0.00038081716,0.16869786,0.00016560931,0.0001694335,0.018801298],"study_design_scores_gemma":[0.0000074512895,0.00013690068,0.9969765,0.0000048179754,0.000017524475,0.00023864566,0.0003271501,0.0002883108,0.0014897578,0.00003959908,0.000468519,0.0000048317297],"about_ca_topic_score_codex":0.0015763178,"about_ca_topic_score_gemma":0.0033167892,"teacher_disagreement_score":0.0015763178,"about_ca_system_score_codex":0.00013605009,"about_ca_system_score_gemma":0.00013828046,"threshold_uncertainty_score":0.0031342506},"labels":[],"label_agreement":null},{"id":"W2137798218","doi":"10.5539/jas.v6n9p166","title":"Genetic Variability and Correlation Studies of Grain Yield and Related Agronomic Traits in Maize","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":71,"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":"Heritability; Diallel cross; Mating design; Biology; Hybrid; Heterosis; Agronomy; Additive genetic effects; Genotype; Genetic variability; Grain yield; Gene; Genetics","score_opus":0.022912681429938672,"score_gpt":0.2080956260974801,"score_spread":0.18518294466754143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137798218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99972385,0.00001428074,0.00014506659,0.0000015117273,3.6295435e-7,0.0000021505905,0.000058159632,0.000001445031,0.00005315349],"genre_scores_gemma":[0.99942064,0.00001894664,0.00027533685,0.0000013903474,6.574391e-7,0.0000039741744,0.00018732004,0.0000025515958,0.00008921778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996873,0.00007808622,0.000025596297,0.00009629734,0.000077058525,0.00003565089],"domain_scores_gemma":[0.9994492,0.00023229221,0.00015701572,0.000055544384,0.000048772563,0.000057242767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000411065,0.00019603941,0.00020452017,0.00094017625,0.00021697972,0.00022249356,0.00015691276,0.00016058455,0.00057670625],"category_scores_gemma":[0.00077123113,0.00013534167,0.00021407484,0.0007044472,0.0002743644,0.00009601466,0.00019995874,0.00018058556,0.000086881824],"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":[0.00097467017,0.0001968796,0.7152506,0.000047628506,0.0003530996,0.0005050799,0.0010729908,0.00093442557,0.27135506,0.00038744122,0.00005616432,0.008865896],"study_design_scores_gemma":[0.00000864667,0.00021163544,0.9966529,0.0000019896158,0.000026671287,0.00020605307,0.00011240496,0.00046913716,0.0021222085,0.000050418967,0.00013041553,0.000007623167],"about_ca_topic_score_codex":0.0024158866,"about_ca_topic_score_gemma":0.0036511575,"teacher_disagreement_score":0.0024158866,"about_ca_system_score_codex":0.00023970741,"about_ca_system_score_gemma":0.00016822362,"threshold_uncertainty_score":0.0048036575},"labels":[],"label_agreement":null},{"id":"W2138858106","doi":"10.1017/s1479262108061261","title":"Collection and characterization of maize and upland rice populations cropped by poor farmers in the uplands of Panama's Azuero region","year":2008,"lang":"en","type":"article","venue":"Plant Genetic Resources","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Panama; Biology; Upland rice; Genetic diversity; Crop; Genetic resources; Agronomy; Agroforestry; Tropics; Latin Americans; Geography; Biotechnology; Oryza sativa; Population; Ecology","score_opus":0.031208196959020214,"score_gpt":0.1844117040325138,"score_spread":0.1532035070734936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138858106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997172,0.000013266542,0.00009927358,0.000004766995,3.3372984e-7,0.00000934035,0.00006310393,8.386799e-7,0.00009171889],"genre_scores_gemma":[0.9981901,0.00006434051,0.0011065068,0.000016186814,0.0000025081042,0.000038141,0.00035067374,0.000002504827,0.0002290838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997558,0.00006772044,0.000024124138,0.00007788741,0.00004017694,0.00003434848],"domain_scores_gemma":[0.99963236,0.000070617,0.00014695855,0.000050375224,0.00004459258,0.000055176824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037530527,0.00019746141,0.00017129593,0.0010840662,0.0009056514,0.000351048,0.00021122335,0.00015684695,0.0005689543],"category_scores_gemma":[0.0007548378,0.0001313984,0.00013599847,0.0010611649,0.0005523623,0.0002498004,0.0005612516,0.00018628508,0.000087386754],"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":[0.000394672,0.00009916269,0.8482596,0.00004642111,0.000060557075,0.0005054821,0.010107222,0.00020938317,0.12402034,0.00015517876,0.000070430026,0.016071605],"study_design_scores_gemma":[0.000009158777,0.000105039595,0.9954412,0.0000055923406,0.000014273829,0.0002728847,0.0018128189,0.00009534768,0.0017283364,0.000038543127,0.0004709533,0.000005805744],"about_ca_topic_score_codex":0.008328482,"about_ca_topic_score_gemma":0.017034223,"teacher_disagreement_score":0.008328482,"about_ca_system_score_codex":0.000305681,"about_ca_system_score_gemma":0.0002504624,"threshold_uncertainty_score":0.016559958},"labels":[],"label_agreement":null},{"id":"W2139749203","doi":"10.5897/jpbcs.9000101","title":"Participatory selection and characterization of quality protein maize (QPM) varieties in Savanna agro- ecological region of DR-Congo","year":2010,"lang":"en","type":"article","venue":"Journal of Plant Breeding and Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Biology; Agronomy; Yield (engineering); Selection (genetic algorithm); Crop; Agriculture; Zea mays; Citizen journalism; Quality (philosophy); Biotechnology; Ecology","score_opus":0.06041695755517921,"score_gpt":0.25005219380764665,"score_spread":0.18963523625246745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139749203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99930966,0.000029763123,0.00035514537,0.000005094415,6.3577477e-7,0.00001700073,0.000103868544,0.0000028945635,0.0001759517],"genre_scores_gemma":[0.9975096,0.000051414365,0.0014669229,0.000010804607,0.0000011508986,0.000030557585,0.0003963452,0.000006162376,0.0005270141],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999806,0.000045540623,0.000014388329,0.000072174946,0.000032665077,0.000029232624],"domain_scores_gemma":[0.99982315,0.000032357504,0.00005914593,0.000021004887,0.000024882102,0.000039441224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028423517,0.0002187894,0.00017824053,0.0004985611,0.0004169102,0.00024737435,0.00017255363,0.00015065889,0.00041119568],"category_scores_gemma":[0.00028275888,0.00010034282,0.00022138748,0.00040504523,0.00023457645,0.00010820474,0.00031099244,0.00019906294,0.00009865927],"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":[0.00035069045,0.00015765756,0.027840693,0.000048271813,0.000034315704,0.00040467363,0.0010212853,0.0002463007,0.9642463,0.00017129355,0.0000426883,0.005435764],"study_design_scores_gemma":[0.00006123583,0.0017409604,0.9138822,0.000018728006,0.000085832275,0.001625695,0.0014220136,0.0011154936,0.07635844,0.00009826764,0.0035494547,0.000041669897],"about_ca_topic_score_codex":0.003168014,"about_ca_topic_score_gemma":0.009021149,"teacher_disagreement_score":0.003168014,"about_ca_system_score_codex":0.00035556147,"about_ca_system_score_gemma":0.00016882186,"threshold_uncertainty_score":0.006299138},"labels":[],"label_agreement":null},{"id":"W2140515847","doi":"10.4141/cjps10049","title":"Towards understanding and use of mixed-model analysis of agricultural experiments","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":108,"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":"Mixed model; Generalized linear mixed model; Random effects model; Computer science; Econometrics; Linear model; Variance (accounting); Statistics; Mathematics; Meta-analysis","score_opus":0.08771773630196265,"score_gpt":0.22993677669093524,"score_spread":0.1422190403889726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140515847","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001523867,0.00073099585,0.995675,0.0018328184,0.00021582845,0.000107974185,0.000065068685,0.00031070792,0.00090914895],"genre_scores_gemma":[0.0037613546,0.0014491029,0.99198884,0.0011324092,0.0002816821,0.00072526414,0.00014076484,0.00022774943,0.000292867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.84494114,0.1271973,0.0058474354,0.0068355296,0.014419026,0.0007594351],"domain_scores_gemma":[0.6294462,0.31307632,0.009603374,0.023414388,0.022355042,0.0021046537],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.17500064,0.0037207769,0.004378857,0.0056637633,0.0019897143,0.011902639,0.011555884,0.0052677263,0.0069673285],"category_scores_gemma":[0.25167793,0.0024632846,0.0060442206,0.0045206826,0.01101435,0.015223496,0.009199312,0.021610009,0.003883589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084832645,0.00013594383,0.0012707537,0.002689442,0.00038283283,0.0002858457,0.0030228286,0.022670975,0.001427091,0.7985907,0.017104352,0.15233432],"study_design_scores_gemma":[0.00003396212,0.00013491038,0.00039703675,0.00135126,0.000086483145,0.00017915179,0.00038477482,0.05189385,0.0012282934,0.8629113,0.08127582,0.00012308333],"about_ca_topic_score_codex":0.0028591512,"about_ca_topic_score_gemma":0.0027493369,"teacher_disagreement_score":0.82499933,"about_ca_system_score_codex":0.005936391,"about_ca_system_score_gemma":0.0101608345,"threshold_uncertainty_score":0.9255029},"labels":[],"label_agreement":null},{"id":"W2141987602","doi":"10.5539/jas.v4n12p18","title":"Chromosomal Localization of QTLs Controlling Genotype X Environment Interaction in Wheat Substitution Lines Using Nonparametric Methods","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nonparametric statistics; Rank correlation; Statistics; Quantitative trait locus; Correlation; Spearman's rank correlation coefficient; Grain yield; Mathematics; Biplot; Trait; Randomized block design; Biology; Analysis of variance; Ammi; Stability (learning theory); Genetics; Genotype; Gene–environment interaction; Gene; Agronomy; Computer science","score_opus":0.05185327937937559,"score_gpt":0.28569724586550815,"score_spread":0.23384396648613257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141987602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756259,0.000068287205,0.023705259,0.000018475239,0.00000552651,0.000020017555,0.00027187332,0.0001039432,0.00018067245],"genre_scores_gemma":[0.9784759,0.00004645971,0.020063333,0.000019458152,0.0000031744999,0.00011849859,0.0007427963,0.000043711425,0.00048661995],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992949,0.00021110287,0.000057272096,0.00022331679,0.0001436208,0.000069662085],"domain_scores_gemma":[0.99923766,0.0003112127,0.00020346648,0.00011743661,0.000063491054,0.000066786364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008317822,0.00029561843,0.00045790852,0.0006719784,0.00018712285,0.00025874766,0.00043486652,0.00020211519,0.0007552764],"category_scores_gemma":[0.00086902705,0.00018936896,0.0004885086,0.0007402072,0.00036148788,0.0001652976,0.00035293822,0.00051397586,0.0001265157],"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":[0.000533537,0.00011954924,0.011560108,0.00006815681,0.00007081775,0.0001548189,0.0001422386,0.0011631346,0.9736422,0.00029761638,0.00004569909,0.012202119],"study_design_scores_gemma":[0.00016826515,0.0018085067,0.709436,0.000016729016,0.00022051168,0.0011822487,0.00037327906,0.04345913,0.23998626,0.0011193771,0.002099723,0.00012989707],"about_ca_topic_score_codex":0.000908372,"about_ca_topic_score_gemma":0.0017306454,"teacher_disagreement_score":0.000908372,"about_ca_system_score_codex":0.00022786488,"about_ca_system_score_gemma":0.00029290386,"threshold_uncertainty_score":0.004398942},"labels":[],"label_agreement":null},{"id":"W2146207786","doi":"10.1017/s0014479707005327","title":"PARTICIPATORY PLANT BREEDING IN WATER-LIMITED ENVIRONMENTS","year":2007,"lang":"en","type":"article","venue":"Experimental Agriculture","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Germplasm; Selection (genetic algorithm); Citizen journalism; Plant breeding; Biodiversity; Adaptation (eye); Biology; Population; Limiting; Environmental resource management; Environmental planning; Biotechnology; Agroforestry; Geography; Ecology; Agronomy; Political science; Engineering; Environmental science; Computer science; Sociology","score_opus":0.03715649701526845,"score_gpt":0.22034470281579635,"score_spread":0.18318820580052791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146207786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49994993,0.0005991202,0.47785747,0.0009369899,0.00006238089,0.00092554704,0.0001181503,0.00033800147,0.019212281],"genre_scores_gemma":[0.78299665,0.0006640628,0.20818646,0.0002106435,0.000033211374,0.000770027,0.000121225225,0.00004448714,0.00697331],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833304,0.0011629345,0.000031214448,0.000231266,0.00015926696,0.000082373495],"domain_scores_gemma":[0.9968792,0.0019454397,0.0003491784,0.00053532,0.000094782015,0.00019605437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027508892,0.0002609265,0.00044434777,0.00034187583,0.0008461214,0.00065389316,0.0007612573,0.0004135841,0.00203485],"category_scores_gemma":[0.0034341803,0.00022198839,0.00021869534,0.00049469987,0.0011348001,0.0007309076,0.0014612066,0.00048899127,0.00028871075],"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":[0.00080827693,0.0011535832,0.013122171,0.0010855768,0.00014334089,0.0027788803,0.009103316,0.032284915,0.37326524,0.08740919,0.0025063276,0.47633922],"study_design_scores_gemma":[0.0015071314,0.012094359,0.13107118,0.0005809583,0.00036359776,0.008468304,0.010288062,0.110901795,0.13806666,0.36403972,0.22227032,0.0003478987],"about_ca_topic_score_codex":0.0007141866,"about_ca_topic_score_gemma":0.0018588675,"teacher_disagreement_score":0.0027508892,"about_ca_system_score_codex":0.0004395759,"about_ca_system_score_gemma":0.0005124911,"threshold_uncertainty_score":0.014548242},"labels":[],"label_agreement":null},{"id":"W2146962627","doi":"","title":"Genetic analysis of some agronomic traits in flax (Linum usitatissimum L.).","year":2010,"lang":"en","type":"article","venue":"Australian Journal of Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diallel cross; Biology; Linum; Heterosis; Additive genetic effects; Horticulture; Agronomy; Heritability; Hybrid; Genetics","score_opus":0.02662228900663095,"score_gpt":0.24888211648852637,"score_spread":0.22225982748189543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146962627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983286,0.00016660949,0.0006128383,0.000033816184,0.0000035608632,0.000013826164,0.00046560555,0.000033408858,0.000341634],"genre_scores_gemma":[0.99348384,0.000177463,0.002718823,0.000055861554,0.0000051984866,0.000044693377,0.0016955325,0.0000327618,0.0017859024],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998281,0.00003256685,0.000016187036,0.00006449282,0.000034053723,0.000024555122],"domain_scores_gemma":[0.99972326,0.00006127408,0.00010346723,0.000017680422,0.000030893454,0.0000634141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024393795,0.0004916309,0.00021317395,0.00115656,0.00028126608,0.00015778838,0.00017048155,0.00022790112,0.0008562588],"category_scores_gemma":[0.00018273841,0.00018947246,0.0003331949,0.0005063841,0.00014161416,0.00010719654,0.00020380653,0.0003080883,0.00015668626],"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":[0.0002860064,0.00007708792,0.0067213434,0.000044957564,0.000056957353,0.00013836053,0.00009660963,0.00013693584,0.988756,0.0000614012,0.000028537934,0.0035957962],"study_design_scores_gemma":[0.000050633204,0.00090413186,0.9137207,0.0000143895095,0.00020312164,0.0009944678,0.00015087881,0.0015415051,0.08021009,0.00009415068,0.0020678442,0.000048148497],"about_ca_topic_score_codex":0.0045009856,"about_ca_topic_score_gemma":0.008312727,"teacher_disagreement_score":0.0045009856,"about_ca_system_score_codex":0.0006578283,"about_ca_system_score_gemma":0.00028780464,"threshold_uncertainty_score":0.008949578},"labels":[],"label_agreement":null},{"id":"W2148456535","doi":"10.1111/j.1471-8286.2005.01001.x","title":"<scp>pasos</scp> (parental allocation of singles in open systems): a computer program for individual parental allocation with missing parents","year":2005,"lang":"en","type":"article","venue":"Molecular Ecology Notes","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canada Research Chairs","keywords":"Correctness; Computer science; Genotype; Missing data; Statistics; Biology; Genetics; Mathematics; Programming language; Machine learning; Gene","score_opus":0.031517016461977125,"score_gpt":0.2491784973212863,"score_spread":0.21766148085930917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148456535","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007451295,0.000099461315,0.36936992,0.00022828417,0.00013921109,0.00029947853,0.020743081,0.58856887,0.013100422],"genre_scores_gemma":[0.1196186,0.0002995481,0.5472451,0.00056446134,0.00025939147,0.0026906522,0.04942633,0.22256488,0.057331115],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995952,0.00008757522,0.00003945187,0.00010527042,0.00013104902,0.00004147197],"domain_scores_gemma":[0.996824,0.002211616,0.00018754977,0.00034273486,0.0003049219,0.0001291596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017474623,0.0012218801,0.0008521999,0.0013791308,0.0006356488,0.001109111,0.0020940457,0.00068899145,0.16530107],"category_scores_gemma":[0.005249677,0.001096142,0.00084116345,0.0010860023,0.0006327436,0.0018431059,0.0015473799,0.0012089319,0.04573757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015472881,0.00017459587,0.0061987545,0.0007457815,0.00009934483,0.0005533964,0.0005683891,0.0057474263,0.012119286,0.008230947,0.6967554,0.26725936],"study_design_scores_gemma":[0.0021612833,0.00032140172,0.018994948,0.00050037605,0.00016054898,0.0015396081,0.00021541098,0.22477348,0.07573009,0.039429147,0.6357772,0.00039656],"about_ca_topic_score_codex":0.0027242324,"about_ca_topic_score_gemma":0.0032642765,"teacher_disagreement_score":0.16530107,"about_ca_system_score_codex":0.00057312695,"about_ca_system_score_gemma":0.00059163815,"threshold_uncertainty_score":0.55298716},"labels":[],"label_agreement":null},{"id":"W2151943074","doi":"","title":"Effects of genotype and environment on seed and forage yield in fenugreek (Trigonella foenum-graecum L.) grown in western Canada.","year":2009,"lang":"en","type":"article","venue":"Australian Journal of Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trigonella; Forage; Biology; Legume; Agronomy; Yield (engineering); Crop; Growing season; Gene–environment interaction; Genotype; Horticulture","score_opus":0.016251402308766913,"score_gpt":0.19890732661767718,"score_spread":0.18265592430891026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151943074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996879,0.000051890274,0.00004084358,0.0000076122938,0.0000011098094,0.0000022044942,0.00009551686,0.0000032915293,0.000109784996],"genre_scores_gemma":[0.9980533,0.00008975375,0.00033021538,0.000027165584,9.625287e-7,0.0000068936624,0.0004197729,0.000014796952,0.0010571165],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997106,0.00006634183,0.000018636792,0.00007694943,0.00006246436,0.00006497663],"domain_scores_gemma":[0.99948704,0.00012005629,0.00010040142,0.00002982387,0.00009472992,0.0001679172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003264529,0.00035984226,0.00034552996,0.00046107112,0.00059919566,0.00049243646,0.00032585496,0.0002156005,0.00042376717],"category_scores_gemma":[0.00042829194,0.00024002006,0.00022769328,0.00045981936,0.00046281857,0.00015453009,0.00035146455,0.00030073273,0.00014234388],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040696324,0.00041904295,0.27066755,0.00011986872,0.00034882704,0.0017025191,0.0026355176,0.00068694237,0.70695513,0.00015637526,0.00036360588,0.011874911],"study_design_scores_gemma":[0.0000106880325,0.00020683846,0.99521697,0.0000033739134,0.000037354384,0.00013338825,0.00045449878,0.00030666913,0.0032850958,0.000016381919,0.00031299208,0.00001579164],"about_ca_topic_score_codex":0.35121638,"about_ca_topic_score_gemma":0.6595917,"teacher_disagreement_score":0.6487836,"about_ca_system_score_codex":0.0023533762,"about_ca_system_score_gemma":0.0017359168,"threshold_uncertainty_score":0.6983441},"labels":[],"label_agreement":null},{"id":"W2152639136","doi":"10.2135/cropsci2005.0106a","title":"Identifying Isoyield Environments for Field Pea Production","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Agriculture Food and Rural Development","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Cultivar; Sativum; Biology; Field pea; Statistics; Normalization (sociology); Biotechnology; Agronomy; Mathematics","score_opus":0.05223670415515603,"score_gpt":0.24588269147844014,"score_spread":0.1936459873232841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152639136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803035,0.00019787833,0.015808932,0.000022166658,0.0000052900423,0.00011725558,0.0006693017,0.00009644693,0.002779239],"genre_scores_gemma":[0.97330576,0.00015744237,0.023195045,0.000019112409,0.0000048686447,0.00006766599,0.0022143766,0.000059410006,0.00097628275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987294,0.00022662258,0.00009204358,0.00037508213,0.00045060212,0.00012619824],"domain_scores_gemma":[0.9978016,0.00039320943,0.00077735534,0.00023415116,0.0006204359,0.00017325825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015549888,0.00051210774,0.0005156049,0.0017278139,0.0008010521,0.0009508894,0.0008865919,0.00024635,0.00089340564],"category_scores_gemma":[0.0019391258,0.00019935622,0.00030414318,0.001670721,0.00041657352,0.00054861046,0.00082576997,0.00041981554,0.00023698276],"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":[0.0006022145,0.00026583506,0.7682696,0.00012982122,0.000119365825,0.00030263793,0.0011579753,0.0027098088,0.124891266,0.000433861,0.00045345217,0.10066416],"study_design_scores_gemma":[0.000003797926,0.00012837446,0.99430746,0.0000058349797,0.000019553767,0.000053544096,0.0003989617,0.000870745,0.0034679174,0.00009042209,0.00064127205,0.000012053139],"about_ca_topic_score_codex":0.037140373,"about_ca_topic_score_gemma":0.19966924,"teacher_disagreement_score":0.037140373,"about_ca_system_score_codex":0.0017586213,"about_ca_system_score_gemma":0.0010108299,"threshold_uncertainty_score":0.07384837},"labels":[],"label_agreement":null},{"id":"W2155605172","doi":"10.3168/jds.s0022-0302(01)74628-0","title":"Construction of Optimum Index to Maximize Overall Response Across Countries in the Presence of Genotype × Environment Interaction","year":2001,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"","keywords":"Sire; Interaction; Constant (computer programming); Index selection; Index (typography); Selection (genetic algorithm); Main effect; Variance (accounting); Gene–environment interaction; Interaction model; Stability (learning theory); Statistics; Mathematics; Measure (data warehouse); Econometrics; Genotype; Biology; Computer science; Economics; Genetics; Artificial intelligence; Animal science; Gene; Data mining","score_opus":0.026367650900826562,"score_gpt":0.25004176862206534,"score_spread":0.22367411772123877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155605172","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":[0.35327652,0.0003271571,0.6401539,0.000089804555,0.000056894332,0.00025973062,0.000486796,0.0005173749,0.0048318096],"genre_scores_gemma":[0.4801522,0.00013977954,0.5165599,0.000046126675,0.00002927525,0.00042361737,0.0014607066,0.00019571708,0.0009927701],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760133,0.0009824622,0.00025910573,0.00042639536,0.0005479669,0.00018268723],"domain_scores_gemma":[0.99556714,0.0015690716,0.00057917903,0.0006199138,0.0014478964,0.00021685021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035088798,0.00067220605,0.0015837913,0.002377376,0.0003827596,0.0010251894,0.0008147509,0.00052742736,0.0013381788],"category_scores_gemma":[0.008792746,0.0002975979,0.00084399834,0.0022695248,0.0003840467,0.0008876256,0.0010035273,0.0004544502,0.00037408495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014835106,0.00054206525,0.13423306,0.00057741295,0.00095286604,0.00028035938,0.00068155245,0.09652673,0.09883718,0.011723682,0.0044806795,0.64968085],"study_design_scores_gemma":[0.00033589767,0.0026075584,0.24029008,0.00014744775,0.00073316577,0.0016972028,0.0008744346,0.62591773,0.090662956,0.018091312,0.018378265,0.00026401368],"about_ca_topic_score_codex":0.00059575675,"about_ca_topic_score_gemma":0.0006085798,"teacher_disagreement_score":0.0035088798,"about_ca_system_score_codex":0.00052725396,"about_ca_system_score_gemma":0.0008176799,"threshold_uncertainty_score":0.018556952},"labels":[],"label_agreement":null},{"id":"W2157816514","doi":"10.1186/1471-2229-13-22","title":"Plant breeding can be made more efficient by having fewer, better crosses","year":2013,"lang":"en","type":"article","venue":"BMC Plant Biology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department for International Development; Bangor University; Agriculture and Agri-Food Canada; James Hutton Institute","keywords":"Biology; Crop; Food security; Plant breeding; Population; Breeding program; Biotechnology; Yield (engineering); Agronomy; Cultivar; Agriculture; Demography; Ecology","score_opus":0.036664506399849216,"score_gpt":0.21625103935670653,"score_spread":0.1795865329568573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157816514","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7989552,0.0010869596,0.18978915,0.0004218012,0.000048805756,0.00015919423,0.0002585809,0.0005604519,0.008719856],"genre_scores_gemma":[0.86552334,0.00069541537,0.13078348,0.00017652361,0.000023108048,0.00018337634,0.00030185882,0.00015797297,0.0021549158],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988167,0.00048926007,0.00012903058,0.00029056479,0.00019760826,0.000076724835],"domain_scores_gemma":[0.99580514,0.0021128703,0.0010736955,0.000649065,0.00021558818,0.00014358912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029308954,0.0007360388,0.00038597436,0.00046947028,0.0003918047,0.00087641086,0.00067987497,0.00063869206,0.003530207],"category_scores_gemma":[0.004225865,0.00035608522,0.0006721792,0.00039136197,0.00064231415,0.0011198865,0.0007244801,0.0006117652,0.0008566917],"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":[0.0007719631,0.00086655765,0.12428174,0.0011821588,0.00035943603,0.00071001303,0.0007439254,0.27349728,0.43754008,0.018150682,0.0012285456,0.14066754],"study_design_scores_gemma":[0.00064107514,0.0055841547,0.31629148,0.0006257083,0.001277198,0.0050647995,0.0007490951,0.33786514,0.20872311,0.052009795,0.07076777,0.0004005805],"about_ca_topic_score_codex":0.00074580434,"about_ca_topic_score_gemma":0.0015708669,"teacher_disagreement_score":0.003530207,"about_ca_system_score_codex":0.0005988942,"about_ca_system_score_gemma":0.0003914336,"threshold_uncertainty_score":0.0155002475},"labels":[],"label_agreement":null},{"id":"W2159329035","doi":"10.5539/ijb.v2n2p222","title":"Heterosis and Combining Ability Analysis for Yield and Related-Yield Traits in Hybrid Rice","year":2010,"lang":"en","type":"article","venue":"International Journal of Biology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":74,"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":"Heterosis; Tiller (botany); Panicle; Hybrid; Biology; Grain yield; Mating design; Yield (engineering); Agronomy; Horticulture","score_opus":0.03315345788916929,"score_gpt":0.24940828730944145,"score_spread":0.21625482942027216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159329035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989404,0.000056993827,0.0005861039,0.0000030362653,8.5030854e-7,0.000004987608,0.00015850957,0.000013594015,0.00023557189],"genre_scores_gemma":[0.9984257,0.000033382712,0.0006046878,0.00000433652,0.0000013275832,0.000014628751,0.0004418389,0.000008411382,0.00046576053],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996729,0.00004372689,0.00003462085,0.00009733504,0.00011372523,0.000037726946],"domain_scores_gemma":[0.9995975,0.00008200262,0.00014330195,0.00005840416,0.00004141653,0.000077345496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044169565,0.0002833315,0.00026216908,0.0010543595,0.00017140801,0.00021334027,0.00017670925,0.00009819383,0.000531142],"category_scores_gemma":[0.00026674452,0.00011847564,0.00045407022,0.00051552337,0.00020282039,0.00015429861,0.00025737647,0.00027142855,0.00009942266],"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":[0.00035320336,0.00013001298,0.07723207,0.000043882836,0.00015843725,0.00013547204,0.00037480876,0.00025525075,0.9123007,0.00009562378,0.000037778533,0.008882666],"study_design_scores_gemma":[0.0000041367443,0.00034125688,0.9697565,0.000001635803,0.000040071023,0.00021920964,0.00008356625,0.0005028218,0.028849166,0.000041712952,0.00014419096,0.000015806789],"about_ca_topic_score_codex":0.0017046357,"about_ca_topic_score_gemma":0.0026309995,"teacher_disagreement_score":0.0017046357,"about_ca_system_score_codex":0.0002810211,"about_ca_system_score_gemma":0.00015006776,"threshold_uncertainty_score":0.0033894181},"labels":[],"label_agreement":null},{"id":"W2159953687","doi":"10.23986/afsci.5682","title":"Yield trends of temperate cereals in high latitude countries from 1940 to 1998","year":2001,"lang":"en","type":"article","venue":"Agricultural and Food Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Helsingin Yliopisto","keywords":"Yield (engineering); Temperate climate; Agronomy; Agriculture; Mathematics; Latitude; Animal science; Geography; Biology; Botany; Ecology","score_opus":0.02846229748319703,"score_gpt":0.20497359956700745,"score_spread":0.1765113020838104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159953687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888678,0.0016298083,0.00038376948,0.000054483473,0.000010750597,0.000005333414,0.00591198,0.000031469917,0.003104643],"genre_scores_gemma":[0.9914991,0.0013176284,0.00054848805,0.000024231358,0.000012743118,0.0000093601775,0.0057672546,0.00001076095,0.000810343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998734,0.000013580006,0.000016316599,0.00004683103,0.000020798832,0.000029161418],"domain_scores_gemma":[0.99949336,0.000044981396,0.00022613052,0.000032372813,0.00017524579,0.000027881733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038361605,0.0003012464,0.00021578291,0.0011585122,0.00013181592,0.00044517108,0.00012174836,0.000112083304,0.00076059776],"category_scores_gemma":[0.0006321646,0.00009628596,0.00029716385,0.0022625322,0.00013832965,0.0003070532,0.00029971404,0.00016166909,0.0002531588],"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":[0.00034222417,0.000020912692,0.9562736,0.00018226543,0.00023629676,0.00021679116,0.00073961116,0.0019881853,0.0032492497,0.00050874194,0.0012523575,0.034989774],"study_design_scores_gemma":[0.000002564309,0.00003576339,0.99621993,0.00001181772,0.000026654005,0.000085930544,0.0001426672,0.00011550004,0.00026785352,0.000028615896,0.003058607,0.0000041323474],"about_ca_topic_score_codex":0.0120559605,"about_ca_topic_score_gemma":0.013170903,"teacher_disagreement_score":0.0120559605,"about_ca_system_score_codex":0.00048475456,"about_ca_system_score_gemma":0.00017782056,"threshold_uncertainty_score":0.023971558},"labels":[],"label_agreement":null},{"id":"W2160670249","doi":"10.4141/cjps10063","title":"Yield stability analysis of broadly adaptive triticale germplasm in southern and central Alberta, Canada, for industrial end-use suitability","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; Agriculture Food and Rural Development; Agriculture and Agri-Food Canada","funders":"","keywords":"Triticale; Germplasm; Agronomy; Adaptability; Biomass (ecology); Biology; Biplot; Test weight; Gene–environment interaction; Crop; Ideotype; Yield (engineering); Cultivar; Environmental science; Genotype; Ecology","score_opus":0.1114513024500393,"score_gpt":0.19412584321283718,"score_spread":0.08267454076279789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160670249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99467707,0.00036229807,0.0013851513,0.000033306384,0.000006087274,0.00003575851,0.001873963,0.00005339859,0.0015730242],"genre_scores_gemma":[0.9820019,0.00033707655,0.003276009,0.000035065943,0.0000022079807,0.000027345559,0.010220677,0.00005345827,0.0040462613],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99954236,0.000025347717,0.000024943387,0.00012552967,0.00018690046,0.000094903444],"domain_scores_gemma":[0.9989963,0.0000687236,0.00009194893,0.00004494222,0.00064873043,0.00014941004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073884666,0.0005683402,0.00038554778,0.0017139962,0.001176501,0.00081810314,0.00073936366,0.00017650312,0.00082031736],"category_scores_gemma":[0.00050452154,0.00016220765,0.00040509985,0.0024072232,0.0004195061,0.00014334061,0.00047485973,0.00036211478,0.00020833829],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020430158,0.00038966234,0.2962616,0.00017800079,0.00044353498,0.00081583543,0.0032228015,0.0056514903,0.58308613,0.0010831378,0.00209249,0.104732215],"study_design_scores_gemma":[0.000015808482,0.00009548931,0.98550373,0.000011222258,0.00008032974,0.000081483086,0.00063974527,0.0022165522,0.007980281,0.000048431193,0.003298896,0.000028034234],"about_ca_topic_score_codex":0.88779765,"about_ca_topic_score_gemma":0.9455466,"teacher_disagreement_score":0.11220235,"about_ca_system_score_codex":0.011100851,"about_ca_system_score_gemma":0.0064166225,"threshold_uncertainty_score":0.22572619},"labels":[],"label_agreement":null},{"id":"W2164701792","doi":"10.1300/j411v20n01_01","title":"Associations Among Oat Traits and Their Responses to the Environment","year":2007,"lang":"en","type":"article","venue":"Journal of Crop Improvement","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Trait; Avena; Quantitative trait locus; Biology; Agronomy; Genotype; Genetics; Gene","score_opus":0.02283515781868848,"score_gpt":0.20972011436511662,"score_spread":0.18688495654642814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164701792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99928135,0.000025450327,0.00032532515,0.0000045670886,0.0000013453351,0.0000033126266,0.00022375377,0.000008054171,0.00012697368],"genre_scores_gemma":[0.99930215,0.000009586424,0.00027409312,0.000005006836,9.98274e-7,0.000004430045,0.00026727765,0.0000069908738,0.00012954047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927706,0.00027860724,0.00004973757,0.00021056208,0.00011129511,0.00007271883],"domain_scores_gemma":[0.9985273,0.0005999794,0.00036574656,0.00012051383,0.00019622874,0.00019011923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054549053,0.0001975778,0.0003130259,0.00048418634,0.00018690868,0.0006021082,0.0001456802,0.00013645687,0.0009988962],"category_scores_gemma":[0.001018844,0.00011416015,0.0002429026,0.0005257374,0.00024020366,0.00016162006,0.00028452772,0.00029775657,0.0001182047],"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":[0.0006937593,0.000090007634,0.86098707,0.000040406554,0.0003221928,0.00012867607,0.00016182332,0.000837746,0.13219132,0.000051095773,0.00008874403,0.004407084],"study_design_scores_gemma":[0.0000025962065,0.00007266268,0.9985501,9.124099e-7,0.0000130811595,0.000022070868,0.000045770168,0.00046721604,0.00075318094,0.000013134839,0.000056404406,0.000002719234],"about_ca_topic_score_codex":0.0060945107,"about_ca_topic_score_gemma":0.011104971,"teacher_disagreement_score":0.0060945107,"about_ca_system_score_codex":0.00028867798,"about_ca_system_score_gemma":0.00021356923,"threshold_uncertainty_score":0.012118101},"labels":[],"label_agreement":null},{"id":"W2166980900","doi":"10.5539/ijb.v5n3p73","title":"Kernel Quality Association and Path Analysis in Bread Wheat","year":2013,"lang":"en","type":"article","venue":"International Journal of Biology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":15,"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":"Falling Number; Gluten; Path analysis (statistics); Path coefficient; Trait; Cultivar; Correlation coefficient; Mathematics; Animal science; Correlation; Statistics; Biology; Agronomy; Horticulture; Food science","score_opus":0.027306487214921887,"score_gpt":0.26847164579516275,"score_spread":0.24116515858024087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166980900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993399,0.00006220569,0.006075283,0.000017397213,0.0000033774575,0.000010065509,0.00017390736,0.00003965216,0.00021903361],"genre_scores_gemma":[0.99595755,0.000040676463,0.003352533,0.0000043125815,0.0000018161262,0.000016170849,0.00028505758,0.0000131381585,0.00032876423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992248,0.0004352716,0.000035165507,0.0001594036,0.00007863007,0.000066797234],"domain_scores_gemma":[0.99735224,0.0014253116,0.00053222635,0.00025396387,0.00027010991,0.00016614713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012327912,0.00026448007,0.00018882572,0.00080569735,0.00016184892,0.0003434316,0.00015172716,0.00014474723,0.0014155626],"category_scores_gemma":[0.0035055487,0.0001632292,0.00060978805,0.0009809836,0.00023410968,0.0002403425,0.00023085269,0.0003658752,0.00018007074],"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":[0.0006614252,0.00011764282,0.9354561,0.000054419772,0.00048936944,0.00024262075,0.00034380073,0.005878454,0.01397932,0.0011993921,0.00026463045,0.041312836],"study_design_scores_gemma":[0.000014858522,0.00019634893,0.981079,0.0000046364607,0.000072060524,0.00017717514,0.00006408658,0.01648287,0.0007071822,0.00082270394,0.00036267788,0.00001643439],"about_ca_topic_score_codex":0.0034975354,"about_ca_topic_score_gemma":0.002999069,"teacher_disagreement_score":0.0034975354,"about_ca_system_score_codex":0.00024002166,"about_ca_system_score_gemma":0.0004354483,"threshold_uncertainty_score":0.006954372},"labels":[],"label_agreement":null},{"id":"W2170020334","doi":"10.4141/cjps2010-035","title":"Structural equation modeling in the plant sciences: An example using yield components in oat","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"","keywords":"Path analysis (statistics); Structural equation modeling; Univariate; Seeding; Latent variable; Yield (engineering); Precipitation; Mathematics; Crop yield; Panicle; Plant density; Statistics; Biological system; Agronomy; Thermodynamics; Multivariate statistics; Physics; Biology; Meteorology; Sowing","score_opus":0.6316076759054612,"score_gpt":0.24528679589966607,"score_spread":0.3863208800057951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170020334","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.461871,0.016989626,0.46540064,0.02449105,0.00069853006,0.001062624,0.0029653006,0.0006483628,0.025872916],"genre_scores_gemma":[0.52073056,0.010222881,0.45956618,0.0012820303,0.00021242346,0.0005452285,0.0013435002,0.00018361011,0.0059136543],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99239963,0.0064949594,0.00023447983,0.0001931182,0.0005908538,0.00008703134],"domain_scores_gemma":[0.9738212,0.023595752,0.00047157242,0.0005659222,0.0013967666,0.00014880809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015487324,0.0007192245,0.0010103172,0.0016040945,0.0010106643,0.0017901063,0.0009888682,0.0014080448,0.0024243789],"category_scores_gemma":[0.017540066,0.00029255167,0.002031949,0.007190836,0.00091402914,0.0014183066,0.0014388264,0.0025985169,0.00032479205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046979747,0.0012983422,0.098941654,0.002392307,0.0015455899,0.0022447854,0.009498119,0.21740188,0.0022914775,0.17545104,0.026915584,0.46154946],"study_design_scores_gemma":[0.00045912515,0.0010786849,0.07469569,0.0010861296,0.000672623,0.0004267323,0.0049542617,0.6097946,0.00236592,0.20520213,0.098953985,0.00031005332],"about_ca_topic_score_codex":0.062382873,"about_ca_topic_score_gemma":0.097190246,"teacher_disagreement_score":0.062382873,"about_ca_system_score_codex":0.002983585,"about_ca_system_score_gemma":0.0017274118,"threshold_uncertainty_score":0.12403953},"labels":[],"label_agreement":null},{"id":"W2171426140","doi":"10.1007/s10681-005-9006-2","title":"Yield Formation in Mediterranean durum wheats under two contrasting water regimes based on path-coefficient analysis","year":2005,"lang":"en","type":"article","venue":"Euphytica","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Tiller (botany); Agronomy; Path coefficient; Mediterranean climate; Biology; Path analysis (statistics); Yield (engineering); Poaceae; Grain yield; Mathematics; Ecology","score_opus":0.0363857963415221,"score_gpt":0.2229099552577339,"score_spread":0.18652415891621182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171426140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996828,0.0000042867764,0.00021200147,0.0000014452983,1.8700847e-7,5.1840937e-7,0.000035765934,0.0000032920273,0.000059738533],"genre_scores_gemma":[0.9996625,0.0000049247965,0.00016030215,8.454857e-7,2.473908e-7,0.0000011365651,0.00009633206,0.0000027203118,0.000070944356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999356,0.000024451809,0.000002588342,0.000020355432,0.000007051744,0.000009874223],"domain_scores_gemma":[0.999708,0.00012254587,0.000055428838,0.000021561473,0.00004787606,0.000044499982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002147247,0.00015143534,0.00012632596,0.0005170368,0.00008638548,0.00014135877,0.00012295308,0.0000757038,0.00052316074],"category_scores_gemma":[0.00048698945,0.00006914998,0.00019333774,0.0003161616,0.00015035593,0.00011830472,0.00015724543,0.00009373982,0.000055166613],"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":[0.0016722042,0.00007815851,0.7344632,0.000051557246,0.00021314481,0.00021742938,0.0005997478,0.013592313,0.22652353,0.0010932239,0.00025613324,0.021239405],"study_design_scores_gemma":[0.000005882429,0.00004891137,0.989963,8.0420716e-7,0.000020080117,0.000029941037,0.000051718478,0.00809304,0.0016302072,0.00009710837,0.000052752464,0.000006544399],"about_ca_topic_score_codex":0.0051745134,"about_ca_topic_score_gemma":0.0071797534,"teacher_disagreement_score":0.0051745134,"about_ca_system_score_codex":0.00030673397,"about_ca_system_score_gemma":0.000116890136,"threshold_uncertainty_score":0.010288775},"labels":[],"label_agreement":null},{"id":"W2172204434","doi":"10.5539/jas.v4n9p1","title":"Estimation of Combining Ability and Gene Action for Improvement Drought Tolerance in Bread Wheat (Triticum aestivum L.) Using GGE Biplot Techniques","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":11,"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":"Biplot; Drought tolerance; Randomized block design; Diallel cross; Hybrid; Water-use efficiency; Agronomy; Heterosis; Grain yield; Mathematics; Biology; Yield (engineering); Biotechnology; Genotype; Irrigation; Gene; Genetics","score_opus":0.04449653241431801,"score_gpt":0.27538267960882723,"score_spread":0.23088614719450923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172204434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834055,0.00022850034,0.014639749,0.000025333757,0.000008828425,0.000044578715,0.001055672,0.00017013625,0.00042180286],"genre_scores_gemma":[0.95698607,0.0002180853,0.038703714,0.00002455597,0.0000071109316,0.00018399351,0.0028211344,0.00007586918,0.0009794742],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927384,0.0002208951,0.000051601615,0.00020846899,0.00019384471,0.000051447274],"domain_scores_gemma":[0.9994117,0.00021372059,0.00017016978,0.000065149274,0.000065131135,0.00007408758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075862376,0.0005582625,0.0005661659,0.0019153904,0.0001809739,0.00029318774,0.0002038487,0.0001349476,0.0005359353],"category_scores_gemma":[0.0005341053,0.00017410568,0.00050997105,0.0014822672,0.0002099051,0.00019343602,0.00020728298,0.00047527862,0.00011543291],"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":[0.00060398306,0.00027585772,0.025204578,0.00011249221,0.00015460142,0.000099414145,0.00022781313,0.0010009296,0.94036144,0.00013526334,0.00012823143,0.031695407],"study_design_scores_gemma":[0.00003235792,0.0011924988,0.9306955,0.0000064949795,0.00011136415,0.0002209024,0.00008574196,0.006204644,0.06013043,0.00014238626,0.0011405973,0.000037026253],"about_ca_topic_score_codex":0.0016773216,"about_ca_topic_score_gemma":0.0018187474,"teacher_disagreement_score":0.0019153904,"about_ca_system_score_codex":0.0003358736,"about_ca_system_score_gemma":0.0001943925,"threshold_uncertainty_score":0.0040119886},"labels":[],"label_agreement":null},{"id":"W2180879481","doi":"10.4141/cjps2011-066","title":"Stability of eight potato genotypes for sugar content and French fry quality at harvest and after storage","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Biplot; Sugar; Sowing; Crop; Horticulture; Agronomy; Biology; Genotype; Food science","score_opus":0.07103421451696776,"score_gpt":0.2165610197089692,"score_spread":0.14552680519200145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180879481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99948907,0.000039176248,0.000177406,0.0000039013516,0.0000012458892,0.000003871734,0.00021251032,0.0000064885794,0.00006636275],"genre_scores_gemma":[0.9982387,0.000032177453,0.00047383463,0.000009110581,7.690812e-7,0.000009614868,0.0008523754,0.000013229083,0.0003702301],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997075,0.000045907902,0.000032215336,0.000109210305,0.000060056016,0.000045131303],"domain_scores_gemma":[0.99903774,0.00022906874,0.00028402393,0.00010611479,0.00021027989,0.00013273269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043400427,0.00025490238,0.00030002967,0.00068862573,0.00022668215,0.00046793182,0.00017635763,0.00025329448,0.0005182116],"category_scores_gemma":[0.00055582233,0.0002113938,0.00038803223,0.0005345991,0.00021002222,0.00017180713,0.00030171548,0.00035251386,0.000110157824],"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":[0.002652334,0.00016376282,0.097838834,0.000048078316,0.00020865853,0.0001735799,0.00053173077,0.0006193454,0.88773817,0.000057853427,0.000100693134,0.009866951],"study_design_scores_gemma":[0.000012470234,0.00031639845,0.98170704,0.0000029743867,0.000053581636,0.000097936056,0.00012060607,0.0007406988,0.016693361,0.000016125929,0.00022085202,0.000017892127],"about_ca_topic_score_codex":0.0063845115,"about_ca_topic_score_gemma":0.00947736,"teacher_disagreement_score":0.0063845115,"about_ca_system_score_codex":0.00056854205,"about_ca_system_score_gemma":0.00018267604,"threshold_uncertainty_score":0.012694716},"labels":[],"label_agreement":null},{"id":"W2182536087","doi":"10.4141/cjps2010-021","title":"Identification of early-maturing maize inbred lines based on multiple traits under drought and low N environments for hybrid development and population improvement","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":30,"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; Introgression; Hybrid; Drought tolerance; Biology; Agronomy; Drought stress; Inbred strain; Population; Zea mays; Productivity; Gene; Genetics","score_opus":0.032502963483975376,"score_gpt":0.1801294169423475,"score_spread":0.1476264534583721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182536087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98566324,0.00038617104,0.011199056,0.000074575786,0.000020008923,0.00026525106,0.0012940835,0.00010109657,0.0009966833],"genre_scores_gemma":[0.95341384,0.00092845055,0.034696873,0.00011412695,0.000012145108,0.00032040878,0.0065762713,0.00010306982,0.0038347547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998559,0.00002183672,0.000021402191,0.00003670932,0.000033753902,0.000030341927],"domain_scores_gemma":[0.99971706,0.000036653993,0.00010057951,0.000033650707,0.000047655925,0.0000644189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006115399,0.00037348538,0.00033233868,0.0006802992,0.0002547775,0.00026064552,0.0005690695,0.00024610822,0.0012156814],"category_scores_gemma":[0.00029093452,0.00019720137,0.0005164025,0.00062245294,0.00011823435,0.0002391967,0.00038759084,0.0006494017,0.0004057898],"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":[0.0001368192,0.000076554614,0.0017040471,0.00003348451,0.000015962405,0.000090044974,0.00006167789,0.000075586635,0.9916849,0.00010650278,0.00004879877,0.0059656715],"study_design_scores_gemma":[0.00033794215,0.0030515117,0.31020635,0.00006484833,0.0005450826,0.0017986228,0.000745422,0.0035687562,0.65987635,0.00048273592,0.019200146,0.00012230691],"about_ca_topic_score_codex":0.00078576175,"about_ca_topic_score_gemma":0.002154813,"teacher_disagreement_score":0.0012156814,"about_ca_system_score_codex":0.00024465838,"about_ca_system_score_gemma":0.00026210435,"threshold_uncertainty_score":0.004066825},"labels":[],"label_agreement":null},{"id":"W2210135433","doi":"10.2135/cropsci2015.02.0135","title":"Improving Maize Grain Yield under Drought Stress and Non‐stress Environments in Sub‐Saharan Africa using Marker‐Assisted Recurrent Selection","year":2015,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Monsanto (Canada)","funders":"Bill and Melinda Gates Foundation; United States Agency for International Development","keywords":"Biology; Selfing; Quantitative trait locus; Single-nucleotide polymorphism; Population; Selection (genetic algorithm); Marker-assisted selection; Genetic gain; SNP; Hybrid; Genetic marker; Genetics; Agronomy; Genotype; Genetic variation; Gene","score_opus":0.062494393775050595,"score_gpt":0.2298569624996096,"score_spread":0.167362568724559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210135433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99926525,0.00005160501,0.00057813915,0.0000046600812,7.2465974e-7,0.000004975565,0.000027476304,0.0000082847155,0.00005885086],"genre_scores_gemma":[0.99721116,0.0001232874,0.0023347896,0.000009151947,0.0000015419216,0.000009859197,0.000100412966,0.0000071335003,0.00020272529],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985623,0.000041333562,0.000010228131,0.0000421191,0.000024828405,0.000025197953],"domain_scores_gemma":[0.9998628,0.000030834068,0.00005542526,0.000014072534,0.000014802307,0.000022041158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038775068,0.00033466346,0.00025787632,0.00028292064,0.00013185036,0.0002481823,0.00026746496,0.000094852825,0.00037525254],"category_scores_gemma":[0.00026550202,0.00008768492,0.00023178452,0.0003180635,0.00011261715,0.00015702608,0.00022367235,0.00017216412,0.0000546224],"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":[0.000402905,0.00008913079,0.023762489,0.000064617714,0.00010675497,0.0002350163,0.00027227605,0.0013014971,0.95130223,0.00011406951,0.00004135139,0.022307586],"study_design_scores_gemma":[0.00018829644,0.004220286,0.78862965,0.000036930465,0.00053083675,0.00087334006,0.0010209294,0.013869407,0.18477505,0.00019666977,0.005609431,0.00004915539],"about_ca_topic_score_codex":0.001488444,"about_ca_topic_score_gemma":0.0033424876,"teacher_disagreement_score":0.001488444,"about_ca_system_score_codex":0.00021919215,"about_ca_system_score_gemma":0.00015567568,"threshold_uncertainty_score":0.0029595494},"labels":[],"label_agreement":null},{"id":"W2211905832","doi":"","title":"Genetic diversity of irrigated barley based on molecular and quantitative data and on malting quality","year":2013,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development","funders":"","keywords":"UPGMA; Genetic diversity; Biology; Selection (genetic algorithm); RAPD; Biotechnology; Agronomy; Statistics; Genetic variation; Mathematics; Genetics; Population; Computer science","score_opus":0.05215583142769105,"score_gpt":0.249566146696664,"score_spread":0.19741031526897296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2211905832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996629,0.000048996484,0.00017112792,0.0000030484136,4.1943778e-7,0.0000012552302,0.000027214714,8.2115196e-7,0.000084198175],"genre_scores_gemma":[0.99957305,0.00003538665,0.00024948164,0.0000025835498,7.796783e-7,0.0000020753644,0.00007844331,0.0000013540106,0.000056846988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996767,0.000083651175,0.00002984521,0.00008553932,0.000075873824,0.000048424477],"domain_scores_gemma":[0.99963593,0.000086735294,0.0001215845,0.00004465747,0.00006327706,0.00004782237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037807575,0.00017593402,0.00022237966,0.00087839016,0.00023858766,0.0003631645,0.00010023123,0.0001290492,0.00043775904],"category_scores_gemma":[0.00078794075,0.00010167762,0.00017234545,0.0007159253,0.000268904,0.00010739605,0.00022690336,0.000104980536,0.00007421022],"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":[0.0004948488,0.00005481728,0.67610836,0.00006281722,0.00022204028,0.00030999322,0.0023181124,0.00039691429,0.29203343,0.000245103,0.0000454394,0.02770816],"study_design_scores_gemma":[0.0000045492725,0.00007201826,0.99625117,0.000007949288,0.000029087492,0.00028608597,0.00034236838,0.00037432287,0.002240576,0.000078874145,0.00030647297,0.0000064734577],"about_ca_topic_score_codex":0.003145097,"about_ca_topic_score_gemma":0.00558644,"teacher_disagreement_score":0.003145097,"about_ca_system_score_codex":0.00016754647,"about_ca_system_score_gemma":0.00014992944,"threshold_uncertainty_score":0.0062536},"labels":[],"label_agreement":null},{"id":"W2247780947","doi":"","title":"A kernel method for modelling interval censored competing risks: theory and methods","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Interval (graph theory); Kernel (algebra); Statistics; Mathematics; Computer science; Econometrics; Applied mathematics; Combinatorics","score_opus":0.05382385579500362,"score_gpt":0.2989636952910761,"score_spread":0.24513983949607246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247780947","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00069540465,0.000125899,0.99895775,0.000043802338,0.000012003294,0.000014373092,0.000018752356,0.000045702734,0.000086281994],"genre_scores_gemma":[0.07735771,0.00079931953,0.91854334,0.00012738803,0.00013573958,0.0004143463,0.00024818766,0.00020137278,0.0021726184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99586713,0.002662953,0.00021168489,0.00043484388,0.0006748026,0.00014864831],"domain_scores_gemma":[0.98128307,0.01406632,0.001106083,0.0015525033,0.0016783464,0.00031373333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01211619,0.00084987987,0.0013243417,0.0018734041,0.00051094854,0.0016825774,0.00351381,0.0018844841,0.0026363751],"category_scores_gemma":[0.026089361,0.00071999256,0.0018194062,0.0019219111,0.0014769672,0.0023900466,0.0024686756,0.0031638306,0.0008209899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013191182,0.0001260844,0.0034887649,0.0003593859,0.0003342231,0.00023132697,0.00036432545,0.35250202,0.00196782,0.5046415,0.0032633594,0.13258934],"study_design_scores_gemma":[0.000019664236,0.000033734344,0.00033604074,0.00002854044,0.000027899463,0.000101125705,0.000018781899,0.87897015,0.0003541288,0.11722204,0.0028496096,0.00003827979],"about_ca_topic_score_codex":0.0024684232,"about_ca_topic_score_gemma":0.00130332,"teacher_disagreement_score":0.01211619,"about_ca_system_score_codex":0.0009959902,"about_ca_system_score_gemma":0.0015747164,"threshold_uncertainty_score":0.06407732},"labels":[],"label_agreement":null},{"id":"W2253525880","doi":"10.4141/cjps09102","title":"Relationships of phenotypic stability measures for genotypes of three cereal crops","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":56,"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":"Ammi; Triticum turgidum; Stability (learning theory); Hordeum vulgare; Gene–environment interaction; Biology; Agronomy; Selection (genetic algorithm); Total sum of squares; Mathematics; Grain yield; Statistics; Spearman's rank correlation coefficient; Crop yield; Correlation; Yield (engineering); Winter wheat; Genotype; Linear regression; Cultivar; Poaceae; Genetics","score_opus":0.0801925088726747,"score_gpt":0.20725699356755883,"score_spread":0.12706448469488413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253525880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974355,0.00007536429,0.0020853276,0.000006259014,0.000004245085,0.000009697257,0.0002151321,0.000020286247,0.00014810891],"genre_scores_gemma":[0.99746037,0.000017341723,0.0017423817,0.000007464211,0.0000020805571,0.000022904396,0.00055117515,0.000012597076,0.00018372241],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988385,0.0003368672,0.00017246036,0.0002987451,0.0002794078,0.00007399143],"domain_scores_gemma":[0.9956181,0.0020554184,0.0009951048,0.0006205953,0.00043899237,0.00027176362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014852993,0.00034233098,0.00042466636,0.0009880979,0.00020694983,0.0004989844,0.00021675993,0.00033906073,0.0006036392],"category_scores_gemma":[0.0027199478,0.0001420506,0.00044345894,0.0006095626,0.0002718639,0.00033764643,0.0005039316,0.00047930772,0.00014720406],"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":[0.0020337256,0.0003362437,0.41143233,0.00011256365,0.00065127277,0.00020792772,0.00039683285,0.002044893,0.5579974,0.00022421827,0.00011529886,0.02444724],"study_design_scores_gemma":[0.000015741918,0.0011654173,0.95989996,0.000003781517,0.000100997386,0.00022201115,0.000095681426,0.0025886332,0.03538923,0.00017635452,0.0003158389,0.00002639586],"about_ca_topic_score_codex":0.0002442072,"about_ca_topic_score_gemma":0.00058903807,"teacher_disagreement_score":0.0014852993,"about_ca_system_score_codex":0.00029756557,"about_ca_system_score_gemma":0.00011808348,"threshold_uncertainty_score":0.007855117},"labels":[],"label_agreement":null},{"id":"W2260562977","doi":"10.2135/cropsci2015.06.0336","title":"Analysis and Handling of G × E in a Practical Breeding Program","year":2015,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Biology; Avena; Genotype; Stability (learning theory); Gene–environment interaction; Crop; Biological system; Biotechnology; Statistics; Agronomy; Mathematics; Computer science; Genetics; Machine learning","score_opus":0.09574398305062984,"score_gpt":0.3071627217564057,"score_spread":0.21141873870577585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260562977","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18118975,0.00018280746,0.8056085,0.00024819357,0.00008824467,0.0010138286,0.002865493,0.003545529,0.0052576447],"genre_scores_gemma":[0.3250928,0.00011117535,0.6673306,0.00019343762,0.00004532179,0.0017797473,0.0023787073,0.0006624963,0.0024057385],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9877039,0.007942685,0.0006614061,0.001806876,0.0015712222,0.00031400952],"domain_scores_gemma":[0.9594042,0.031973284,0.0022366007,0.0038754777,0.002046916,0.00046353988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01087933,0.0010581681,0.0012427458,0.00228436,0.00064690516,0.0012636887,0.0012865842,0.00055536506,0.0060828817],"category_scores_gemma":[0.03051407,0.00040143434,0.001232503,0.0033347367,0.0006575277,0.0010698028,0.0011844948,0.0014595566,0.0014356757],"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":[0.0008876288,0.00093544327,0.188751,0.00073833537,0.00090741867,0.001615905,0.0018698226,0.017425949,0.055280667,0.010291819,0.0068810647,0.7144151],"study_design_scores_gemma":[0.00023421363,0.0064319684,0.70742357,0.00024002796,0.0006275806,0.0017326365,0.002907441,0.16923194,0.040856283,0.024115067,0.045914765,0.00028452263],"about_ca_topic_score_codex":0.002064119,"about_ca_topic_score_gemma":0.0027744411,"teacher_disagreement_score":0.01087933,"about_ca_system_score_codex":0.00057113875,"about_ca_system_score_gemma":0.0010631224,"threshold_uncertainty_score":0.057536066},"labels":[],"label_agreement":null},{"id":"W2280435720","doi":"10.5376/mpb.2016.07.0002","title":"Study on Stability of Grain Yield Sunflower Cultivars by AMMI and GGE bi Plot in Iran","year":2016,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ammi; Sunflower; Cultivar; Biology; Grain yield; Agronomy; Yield (engineering); Biotechnology; Mathematics; Gene–environment interaction; Genotype; Genetics","score_opus":0.05520988276410356,"score_gpt":0.21695633186806068,"score_spread":0.16174644910395714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280435720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853075,0.00011694284,0.00053680653,0.000016585294,0.0000069986,0.000011955787,0.00025695268,0.00002065765,0.000502329],"genre_scores_gemma":[0.99752873,0.000055969304,0.0011932058,0.000011121778,0.0000055006412,0.000035659134,0.0006900554,0.000011570976,0.0004682294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993356,0.00013590636,0.00004739386,0.00024494424,0.00015920887,0.00007697061],"domain_scores_gemma":[0.9994025,0.0001276703,0.00016185123,0.00008468643,0.00014933602,0.00007392767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009796694,0.00029345087,0.0003388686,0.0012722792,0.00050158123,0.00033023802,0.0003637832,0.00017215066,0.0008135747],"category_scores_gemma":[0.0006443003,0.0001406097,0.00050370704,0.001237216,0.000263699,0.00021145729,0.00019804046,0.00028711156,0.00016870938],"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":[0.0027111585,0.00075304566,0.7905834,0.0001399632,0.0004434624,0.00042305613,0.00246698,0.0013108117,0.10668992,0.0008488606,0.0010185443,0.09261089],"study_design_scores_gemma":[0.000015950449,0.00033939874,0.996467,0.0000022433014,0.000027467882,0.000077841505,0.00018185894,0.0004977656,0.0016886755,0.000063243555,0.00062985247,0.00000877984],"about_ca_topic_score_codex":0.006212401,"about_ca_topic_score_gemma":0.009893247,"teacher_disagreement_score":0.006212401,"about_ca_system_score_codex":0.00090221834,"about_ca_system_score_gemma":0.00042516374,"threshold_uncertainty_score":0.012352526},"labels":[],"label_agreement":null},{"id":"W2284086940","doi":"10.2135/cropsci2015.08.0512","title":"Use of Crop Growth Models with Whole‐Genome Prediction: Application to a Maize Multienvironment Trial","year":2016,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"DuPont (Canada)","funders":"","keywords":"Biology; Genomic selection; Selection (genetic algorithm); Plant breeding; Bayesian probability; Biotechnology; Statistics; Machine learning; Computer science; Genotype; Genetics; Agronomy; Mathematics; Single-nucleotide polymorphism","score_opus":0.04787887409706468,"score_gpt":0.197939180768768,"score_spread":0.15006030667170334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284086940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.799837,0.00018462322,0.19620807,0.00062544673,0.000017347113,0.00009513491,0.0011612873,0.00054458715,0.0013265542],"genre_scores_gemma":[0.9188556,0.00008026622,0.07935952,0.000055016906,0.0000075061153,0.00009225414,0.0011320367,0.00005850484,0.00035929523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921036,0.00051937334,0.000026266933,0.000126309,0.000089627574,0.000028025612],"domain_scores_gemma":[0.99642736,0.0027764998,0.00019955063,0.00027629558,0.00024993098,0.00007032021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039752554,0.00052218547,0.00041591065,0.000255702,0.00031432047,0.00055863487,0.0007731285,0.0006703821,0.0004295707],"category_scores_gemma":[0.007561681,0.00027123245,0.0006232576,0.00055691844,0.0003757313,0.0005163129,0.0005852788,0.0010110928,0.000096559685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025625882,0.00008178558,0.017323902,0.000056722256,0.00016663427,0.00010873201,0.00008250749,0.9540464,0.002939984,0.002298322,0.00045681375,0.022181764],"study_design_scores_gemma":[0.000036092348,0.00007394363,0.0052843066,0.000005178188,0.000014186471,0.000013113961,0.000021435584,0.9910884,0.0015474047,0.0015022833,0.00039865205,0.000014981499],"about_ca_topic_score_codex":0.01745236,"about_ca_topic_score_gemma":0.0129119735,"teacher_disagreement_score":0.01745236,"about_ca_system_score_codex":0.00077131746,"about_ca_system_score_gemma":0.0007668761,"threshold_uncertainty_score":0.034701526},"labels":[],"label_agreement":null},{"id":"W2312468286","doi":"10.2135/cropsci2015.11.0678","title":"Genotype‐by‐Environment Interaction and Trait Associations in Two Genetic Populations of Oat","year":2016,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health PEI; Agriculture and Agri-Food Canada","funders":"","keywords":"Avena; Biology; Transgressive segregation; Cultivar; Trait; Grain yield; Negative correlation; Population; Agronomy; Genotype; Gene–environment interaction; Quantitative trait locus; Animal science; Genetics; Gene","score_opus":0.04549315841470059,"score_gpt":0.2516168359896107,"score_spread":0.20612367757491012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312468286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99963737,0.000018279918,0.00015525696,0.000005281256,0.000001403336,0.000006472903,0.000066419576,0.0000050678254,0.00010443618],"genre_scores_gemma":[0.9979632,0.000031248714,0.0009646846,0.000019137422,0.0000024263627,0.000017365333,0.0004850373,0.000012984122,0.0005039763],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99943453,0.00012127412,0.000046844332,0.00021869097,0.00010253076,0.00007607009],"domain_scores_gemma":[0.99948335,0.00015947768,0.0001169802,0.000051258667,0.00006508967,0.00012380966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051588216,0.00042646614,0.00033939708,0.00086130924,0.0004514909,0.00044693143,0.00033292628,0.00024966776,0.00067735236],"category_scores_gemma":[0.0005338625,0.00016746439,0.00037062765,0.00049928296,0.0004508486,0.00015050209,0.00042260156,0.00039567795,0.00007063032],"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":[0.001466083,0.00048041588,0.12790847,0.000056241424,0.00045538985,0.0007585287,0.0011107833,0.00052003807,0.8572099,0.00040237216,0.00009613129,0.00953566],"study_design_scores_gemma":[0.000058519712,0.00047264015,0.9874399,0.000005918454,0.00011905605,0.00028804355,0.0003421654,0.0012953521,0.009253299,0.00007758785,0.0006175366,0.000030066021],"about_ca_topic_score_codex":0.01801685,"about_ca_topic_score_gemma":0.05605104,"teacher_disagreement_score":0.01801685,"about_ca_system_score_codex":0.0012917768,"about_ca_system_score_gemma":0.00058115204,"threshold_uncertainty_score":0.03582394},"labels":[],"label_agreement":null},{"id":"W2317155236","doi":"10.4141/cjps10059","title":"Performance of tropical early-maturing maize cultivars in multiple stress environments","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":80,"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":"Striga; Striga hermonthica; Infestation; Biology; Cultivar; Agronomy; Biplot; Drought tolerance; Horticulture; Genotype; Sorghum","score_opus":0.016391812564274244,"score_gpt":0.16726300057183527,"score_spread":0.15087118800756102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317155236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997676,0.000029266874,0.00004531546,0.000002755396,7.8017604e-7,0.000003276573,0.0000772438,0.0000033808599,0.00007030714],"genre_scores_gemma":[0.99867475,0.000056513378,0.00041476102,0.000010837754,7.4562877e-7,0.000012958371,0.0003820706,0.0000067970504,0.00044061948],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984705,0.000020565232,0.000017813652,0.00005706738,0.00002119064,0.000036373032],"domain_scores_gemma":[0.99973243,0.00004416824,0.00008585163,0.00002690825,0.000035905887,0.00007475733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002244367,0.0003064481,0.0003097724,0.0003642569,0.00026181436,0.0003391134,0.00027966197,0.00020419984,0.00034914457],"category_scores_gemma":[0.00021752638,0.00015278903,0.00027813224,0.00041482475,0.0001568281,0.0002407978,0.0002328635,0.00031392367,0.00011227595],"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":[0.0012453682,0.00013415048,0.022152154,0.000056296652,0.000031851385,0.00012002336,0.00020604933,0.00031677424,0.97174186,0.000038516548,0.000027237356,0.003929709],"study_design_scores_gemma":[0.000046940866,0.0029604558,0.8538446,0.000009528698,0.00007687469,0.00020832021,0.00041866302,0.0012474087,0.14015055,0.00004192247,0.00096462807,0.000030136589],"about_ca_topic_score_codex":0.0052829576,"about_ca_topic_score_gemma":0.010712535,"teacher_disagreement_score":0.0052829576,"about_ca_system_score_codex":0.00070338434,"about_ca_system_score_gemma":0.00025935724,"threshold_uncertainty_score":0.010504425},"labels":[],"label_agreement":null},{"id":"W2328678519","doi":"10.4141/cjps2013-386","title":"Evaluation of genotype×environment interaction and stability of corn hybrids and relationship among univariate parametric methods","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":31,"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":"Univariate; Stability (learning theory); Statistics; Mathematics; Hybrid; Adaptability; Grain yield; Gene–environment interaction; Principal component analysis; Rank (graph theory); Parametric statistics; Analysis of variance; Coefficient of variation; Rank correlation; Genotype; Biology; Multivariate statistics; Agronomy; Ecology; Genetics; Computer science; Combinatorics","score_opus":0.09651665676230893,"score_gpt":0.26722820202715525,"score_spread":0.17071154526484633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328678519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97753304,0.0005804422,0.020797143,0.000025925914,0.000024195495,0.000030470099,0.0002343249,0.00010405961,0.0006703103],"genre_scores_gemma":[0.99210054,0.000081051985,0.007239016,0.0000074968225,0.000008556416,0.000036922123,0.00022922902,0.000021778033,0.00027546834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996994,0.0011886971,0.00022845065,0.0006940496,0.00077018054,0.00012469747],"domain_scores_gemma":[0.98906976,0.006732713,0.001675987,0.0008685115,0.0014161844,0.0002367842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038839376,0.00047479587,0.00049343635,0.001363852,0.0002948233,0.0005938244,0.000354195,0.00028977907,0.0010714511],"category_scores_gemma":[0.0062762066,0.00014738031,0.0009287077,0.0013057472,0.0003096909,0.00046264613,0.00049000024,0.0005496384,0.00017112208],"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":[0.0021224897,0.00041773106,0.76041776,0.00025882677,0.0018178927,0.00040064394,0.0010127542,0.0056161196,0.068462335,0.0006547506,0.00039488697,0.15842383],"study_design_scores_gemma":[0.000016046599,0.0012474022,0.95971227,0.000015349726,0.00043243857,0.00032006393,0.00040462302,0.019498358,0.01701515,0.0004948608,0.00075303996,0.00009044407],"about_ca_topic_score_codex":0.0009365135,"about_ca_topic_score_gemma":0.0015506299,"teacher_disagreement_score":0.0038839376,"about_ca_system_score_codex":0.00031684115,"about_ca_system_score_gemma":0.00021692037,"threshold_uncertainty_score":0.020540476},"labels":[],"label_agreement":null},{"id":"W2337547859","doi":"10.2135/cropsci2015.10.0625","title":"Genotype × Environment Interaction and Stability Analysis for Watermelon Fruit Yield in the United States","year":2016,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Monsanto (Canada)","funders":"University of Florida; U.S. Department of Agriculture","keywords":"Biology; Yield (engineering); Gene–environment interaction; Cultivar; Horticulture; Hybrid; Biplot; Genotype; Interaction; Univariate; Multivariate statistics; Agronomy; Mathematics; Statistics; Genetics; Gene","score_opus":0.06334426108476501,"score_gpt":0.23200377402284608,"score_spread":0.16865951293808107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337547859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996531,0.000033689426,0.00011325132,0.0000082374445,9.611229e-7,0.0000015269204,0.0000943563,0.0000052379114,0.0000895901],"genre_scores_gemma":[0.9993766,0.000023410501,0.00020612199,0.000014956994,9.246273e-7,0.0000060189286,0.00025435924,0.000004508545,0.000113213515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996301,0.00015300412,0.000028064886,0.000111498266,0.000047030328,0.000030146119],"domain_scores_gemma":[0.9992072,0.00027722152,0.00023335779,0.00008969262,0.00009584066,0.00009671946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006191337,0.0001874123,0.00022611034,0.0004610445,0.00023136678,0.00027483594,0.00017365918,0.00013669755,0.00072054204],"category_scores_gemma":[0.0007089262,0.00012673328,0.0003223231,0.0005677441,0.00021605693,0.00013786783,0.00026861907,0.00019748588,0.00005613505],"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":[0.0005003581,0.00011627101,0.97327524,0.000012102413,0.00029398908,0.00015878258,0.00029953575,0.00033381546,0.016651075,0.00008045091,0.00023678038,0.008041513],"study_design_scores_gemma":[0.0000038772837,0.000052048854,0.9988393,0.0000019096901,0.00004402319,0.000028935752,0.00006167958,0.00040442456,0.00040631887,0.000014933522,0.00013895627,0.0000035044882],"about_ca_topic_score_codex":0.023720646,"about_ca_topic_score_gemma":0.067595705,"teacher_disagreement_score":0.023720646,"about_ca_system_score_codex":0.00040033678,"about_ca_system_score_gemma":0.00025658286,"threshold_uncertainty_score":0.047165155},"labels":[],"label_agreement":null},{"id":"W2340662066","doi":"10.1139/cjps-2015-0252","title":"Mixed model and stability analysis of spring wheat genotype yield evaluation data from Manitoba, Canada","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Agriculture Food and Rural Development; University of Manitoba","funders":"Western Grains Research Foundation; Manitoba Agriculture, Food and Rural Development","keywords":"Genotype; Yield (engineering); Crop; Statistics; Selection (genetic algorithm); Mixed model; Stability (learning theory); Agriculture; Biotechnology; Agronomy; Biology; Mathematics; Computer science; Ecology; Genetics","score_opus":0.17770701074017642,"score_gpt":0.22072050765723814,"score_spread":0.043013496917061717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340662066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95585716,0.00093763636,0.009117447,0.00040476717,0.00004146345,0.00018063748,0.030636514,0.00040247108,0.0024219395],"genre_scores_gemma":[0.9211753,0.0003072136,0.010960789,0.00015354302,0.000013600868,0.00014101273,0.0625187,0.00008653969,0.004643362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990633,0.00020606974,0.000059165777,0.00022542638,0.0002578617,0.0001882242],"domain_scores_gemma":[0.9957806,0.0009747333,0.00023336713,0.00029024732,0.0025257801,0.00019518963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023765732,0.00076031627,0.0005559566,0.0016540423,0.0012441683,0.0009621424,0.0016476098,0.00041835674,0.0013870583],"category_scores_gemma":[0.00482087,0.00031848042,0.000943137,0.0025016682,0.00066092977,0.00025943117,0.0005526954,0.0006513219,0.0003330069],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015918814,0.00053206034,0.70525455,0.00031026994,0.0013953741,0.0008626001,0.000961017,0.17123981,0.006791566,0.002824865,0.024481464,0.08375452],"study_design_scores_gemma":[0.00015178151,0.00014960131,0.7008612,0.00007002411,0.00022160473,0.000120149234,0.0012005761,0.28205937,0.001944732,0.0006160186,0.012474039,0.00013086006],"about_ca_topic_score_codex":0.9877559,"about_ca_topic_score_gemma":0.99210393,"teacher_disagreement_score":0.016277598,"about_ca_system_score_codex":0.016277598,"about_ca_system_score_gemma":0.01762151,"threshold_uncertainty_score":0.11810279},"labels":[],"label_agreement":null},{"id":"W2341328736","doi":"10.4141/cjps-2015-119","title":"Evaluation of the performance of sorghum genotypes using GGE biplot","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":53,"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":"Sorghum; Biplot; Agronomy; Genotype; Biology; Abiotic component; Grain yield; Gene–environment interaction; Sweet sorghum; Biotechnology; Ecology","score_opus":0.14848251558349587,"score_gpt":0.23607685274137485,"score_spread":0.08759433715787898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341328736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88902783,0.00037549375,0.09423562,0.00017400408,0.00020126237,0.00040350022,0.005994245,0.0076257973,0.0019622282],"genre_scores_gemma":[0.84321654,0.000118303455,0.14472495,0.00008666523,0.00002358776,0.0014375454,0.006648895,0.0016484935,0.0020950132],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99596053,0.002084211,0.00032032258,0.000747194,0.00064828125,0.00023946981],"domain_scores_gemma":[0.9929503,0.004356094,0.00060041586,0.00057928846,0.0012823232,0.0002316461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004931724,0.0014348556,0.0015433436,0.0017540284,0.00052818,0.0011656182,0.0008108168,0.00044356738,0.0036382056],"category_scores_gemma":[0.008406647,0.00036949592,0.0009069074,0.00174138,0.00032632065,0.00057380117,0.00060129556,0.0012485726,0.0010136695],"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":[0.02160603,0.0031303382,0.14123718,0.0012667198,0.0022231424,0.0008761205,0.002804928,0.02287981,0.30963123,0.0012931464,0.017153542,0.47589788],"study_design_scores_gemma":[0.00047276364,0.0060369326,0.7088995,0.00010492052,0.00051167567,0.0005304489,0.0008242067,0.19524975,0.07382167,0.00061382406,0.012548333,0.0003858577],"about_ca_topic_score_codex":0.002199396,"about_ca_topic_score_gemma":0.0018195603,"teacher_disagreement_score":0.004931724,"about_ca_system_score_codex":0.00036769753,"about_ca_system_score_gemma":0.00038357728,"threshold_uncertainty_score":0.02608174},"labels":[],"label_agreement":null},{"id":"W2358516514","doi":"","title":"Preliminary Study on Breeding Innovative Maize Lines With Quality Protein and Waxy Characteristics by Molecular Marker-assisted Methold","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Molecular marker; Biotechnology; Quality (philosophy); Agronomy; Biology; Genetics; Physics; Gene","score_opus":0.07020803863040173,"score_gpt":0.249437320953186,"score_spread":0.17922928232278426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358516514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96250063,0.0016176621,0.031396713,0.00017880845,0.000033190812,0.00032577742,0.00054926495,0.00009507174,0.0033029004],"genre_scores_gemma":[0.92629343,0.002689617,0.055108946,0.00019199101,0.000042017215,0.00026308786,0.005876188,0.000111836656,0.009422779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998043,0.000044597404,0.000018418725,0.000050035967,0.00004349622,0.000039044273],"domain_scores_gemma":[0.99978715,0.00004577323,0.000021600166,0.000033662407,0.000038470487,0.000073409436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006528632,0.00054446934,0.00036622875,0.00028597153,0.0004920972,0.00031671397,0.00048221293,0.00031853298,0.0012835537],"category_scores_gemma":[0.00030211615,0.00016344617,0.0005635598,0.00026162848,0.0002693433,0.0003987529,0.00036374768,0.00062933646,0.00033529004],"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":[0.00014731994,0.00007962723,0.00066492095,0.00006148475,0.000016722526,0.0000850253,0.00009618681,0.0001384381,0.9952485,0.00021796698,0.00004115623,0.0032026914],"study_design_scores_gemma":[0.00008535631,0.0023792016,0.022194592,0.00001719764,0.00023017959,0.00069612364,0.00023703328,0.0010495543,0.963298,0.00032884715,0.009450805,0.000033254128],"about_ca_topic_score_codex":0.0014548094,"about_ca_topic_score_gemma":0.001289025,"teacher_disagreement_score":0.0014548094,"about_ca_system_score_codex":0.00026302633,"about_ca_system_score_gemma":0.0004674439,"threshold_uncertainty_score":0.0042939186},"labels":[],"label_agreement":null},{"id":"W2373477806","doi":"","title":"Screening of Adaptability for Sweet or Waxy Maize Varieties","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptability; Biology; Agronomy; Horticulture; Ecology","score_opus":0.06625191437622564,"score_gpt":0.24143243751050883,"score_spread":0.17518052313428317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373477806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971391,0.00012237176,0.0014074758,0.000033203763,0.0000066938705,0.00006414167,0.0006035076,0.00002978135,0.00059369596],"genre_scores_gemma":[0.991088,0.00017318422,0.0027811853,0.000078003395,0.0000070043016,0.000087730594,0.0031263982,0.000057095065,0.0026014461],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998153,0.00003107988,0.000021696715,0.00004813874,0.00004154341,0.00004220873],"domain_scores_gemma":[0.99962413,0.00013738578,0.000072910225,0.00003396942,0.000036846282,0.00009472304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024340964,0.00042564207,0.0003057107,0.00078030315,0.00021391489,0.000240469,0.00029398603,0.00030460954,0.0022890726],"category_scores_gemma":[0.00044258474,0.00021511466,0.00048100302,0.00050249597,0.00016975145,0.00018743196,0.0006029383,0.0005995973,0.0003528999],"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":[0.00008001737,0.000020661897,0.0012900953,0.000017053619,0.00000492271,0.00005267322,0.000036443034,0.000016246438,0.9979506,0.000020100246,0.000008709372,0.00050244527],"study_design_scores_gemma":[0.00007609322,0.0020502326,0.26615423,0.000012677004,0.00016789793,0.0012881809,0.00048645606,0.00061468803,0.7254721,0.00010155825,0.003544297,0.00003163859],"about_ca_topic_score_codex":0.0009913142,"about_ca_topic_score_gemma":0.0016862722,"teacher_disagreement_score":0.0022890726,"about_ca_system_score_codex":0.00026158657,"about_ca_system_score_gemma":0.00020905705,"threshold_uncertainty_score":0.0076577663},"labels":[],"label_agreement":null},{"id":"W2393875412","doi":"","title":"Correction and Path Analysis to Single Plant Yield of Wheat","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path analysis (statistics); Yield (engineering); Path (computing); Horticulture; Computer science; Mathematics; Agricultural engineering; Agronomy; Statistics; Biology; Engineering; Physics; Computer network; Thermodynamics","score_opus":0.02721663152256319,"score_gpt":0.1923524955308658,"score_spread":0.16513586400830263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393875412","genre_codex":"editorial","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":[0.059574746,0.0031221653,0.27520838,0.032225534,0.5765977,0.00048815203,0.01622686,0.02442368,0.0121328095],"genre_scores_gemma":[0.4001599,0.0028016565,0.32480186,0.008624822,0.023976361,0.00060048135,0.0070474287,0.014959245,0.21702814],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99783736,0.00041375868,0.0002894732,0.00058858615,0.00069966656,0.00017115576],"domain_scores_gemma":[0.9814404,0.004598069,0.00092938886,0.0031867228,0.00920558,0.0006398049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017000725,0.0013126608,0.0008565345,0.0029085085,0.0013496097,0.0010291821,0.0016130413,0.0012582067,0.057582498],"category_scores_gemma":[0.038679764,0.00045327385,0.0012259405,0.0026323113,0.0008356443,0.000951649,0.00093513366,0.003238816,0.011738586],"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":[0.00087667233,0.000057387268,0.005858428,0.001307483,0.00027344326,0.0031490407,0.0004884291,0.0017903995,0.010170464,0.022721846,0.7130543,0.24025215],"study_design_scores_gemma":[0.00019402448,0.00020668261,0.025245195,0.00034791086,0.00046078197,0.0056658587,0.0003923817,0.025702536,0.026151199,0.031678364,0.8837646,0.00019048958],"about_ca_topic_score_codex":0.0077039246,"about_ca_topic_score_gemma":0.009560555,"teacher_disagreement_score":0.057582498,"about_ca_system_score_codex":0.0012361795,"about_ca_system_score_gemma":0.0022409833,"threshold_uncertainty_score":0.19263262},"labels":[],"label_agreement":null},{"id":"W2396793839","doi":"10.2135/cropsci2015.11.0698","title":"Value of Locations for Representing Mega‐Environments and for Discriminating Yield of Watermelon in the U.S.","year":2016,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Monsanto (Canada)","funders":"Texas Sea Grant, Texas A and M University; North Carolina State University; Clemson University; University of Florida; U.S. Department of Agriculture","keywords":"Biplot; Biology; Cultivar; Mega-; Crop; Gene–environment interaction; Yield (engineering); Breeding program; Key (lock); Germplasm; Genotype; Agronomy; Biotechnology; Horticulture; Ecology; Genetics","score_opus":0.0638319210119863,"score_gpt":0.2598489228660035,"score_spread":0.19601700185401716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396793839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99695075,0.00012827861,0.0018035569,0.000027988353,0.000003186225,0.000013115187,0.00030449455,0.000022462245,0.00074607856],"genre_scores_gemma":[0.9931126,0.0000427081,0.0062858295,0.0000124231965,0.0000014026087,0.000014992639,0.0002797893,0.0000075099115,0.00024265713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955124,0.00023984112,0.000020997895,0.00010265916,0.00005925522,0.000026040156],"domain_scores_gemma":[0.998779,0.00033420924,0.00041394183,0.00015982265,0.00019107392,0.000121923986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059130724,0.0002337076,0.00015688929,0.0004746255,0.00030095963,0.0004956193,0.0002715463,0.00015230959,0.0010380291],"category_scores_gemma":[0.00096175884,0.00012953853,0.00014781549,0.00045838434,0.00030662958,0.00045956712,0.0005024227,0.00015231351,0.00019538906],"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":[0.0009661574,0.00012526357,0.87963986,0.00007903492,0.00012819558,0.00012607253,0.0003639165,0.003116716,0.049197067,0.0004070587,0.00039006185,0.06546056],"study_design_scores_gemma":[0.00002028089,0.00038189942,0.9851638,0.000017468486,0.00008331199,0.000105293126,0.00046509213,0.005291291,0.007123066,0.0001999317,0.0011277536,0.000020682888],"about_ca_topic_score_codex":0.009420587,"about_ca_topic_score_gemma":0.0635476,"teacher_disagreement_score":0.009420587,"about_ca_system_score_codex":0.00045689655,"about_ca_system_score_gemma":0.00028662226,"threshold_uncertainty_score":0.018731475},"labels":[],"label_agreement":null},{"id":"W2401810035","doi":"10.1139/cjps-2016-0117","title":"Assessment of G × E interaction and heritability for simplification of selection in spring wheat genotypes","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Heritability; Sowing; Biology; Cultivar; Selection (genetic algorithm); Yield (engineering); Agronomy; Genotype; Gene–environment interaction; Grain yield; Genetic variation; Gene; Genetics","score_opus":0.03251606505952897,"score_gpt":0.24274573140193773,"score_spread":0.21022966634240875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401810035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98860687,0.00006565824,0.0103278505,0.000018801966,0.0000055755504,0.000031279953,0.00036323522,0.00009349519,0.0004873523],"genre_scores_gemma":[0.9864161,0.000028302393,0.012637736,0.000017582845,0.0000032685002,0.000033753633,0.000488639,0.000071073264,0.0003035577],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99884593,0.0005098198,0.000103975115,0.0002567976,0.0002055096,0.0000779161],"domain_scores_gemma":[0.99840933,0.00094060006,0.00020907733,0.00026378935,0.00011140831,0.00006582926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014926305,0.00039861415,0.0003317195,0.00075173605,0.00024133586,0.00035245137,0.00032666398,0.0001777126,0.0009463257],"category_scores_gemma":[0.0018328242,0.00022214527,0.0005067057,0.0005477763,0.00022952181,0.00021602726,0.00034954157,0.00038696598,0.00012444446],"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":[0.0009974696,0.0003516379,0.30614153,0.00009232105,0.000501525,0.00078609015,0.0006277944,0.003275354,0.6168558,0.00078162475,0.00039545403,0.06919336],"study_design_scores_gemma":[0.000022662181,0.00030540107,0.9749112,0.0000068180625,0.0001327254,0.00021174373,0.00008422665,0.0040546674,0.01951035,0.00014372583,0.00059432985,0.000021990405],"about_ca_topic_score_codex":0.0025753116,"about_ca_topic_score_gemma":0.0062849442,"teacher_disagreement_score":0.0025753116,"about_ca_system_score_codex":0.00032139884,"about_ca_system_score_gemma":0.00026018918,"threshold_uncertainty_score":0.00789392},"labels":[],"label_agreement":null},{"id":"W2411906016","doi":"10.5539/jas.v8n7p80","title":"Combining Ability and Heterosis for Grain Yield and Rust Resistance in Pearl Millet","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Anthesis; Tiller (botany); Panicle; Biology; Pennisetum; Rust (programming language); Agronomy; Mating design; Heterosis; Crop; Grain yield; Plant disease resistance; Hybrid; Cultivar","score_opus":0.03000173349972264,"score_gpt":0.21261652496338815,"score_spread":0.1826147914636655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2411906016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99896884,0.00014974872,0.00036426942,0.000009775129,0.000001799938,0.000005414493,0.00009200938,0.000020405669,0.00038789114],"genre_scores_gemma":[0.9987594,0.000055157667,0.00036616874,0.000009346104,0.0000020266277,0.000008588942,0.00029067392,0.000009876162,0.0004987904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953794,0.00010232138,0.000042963555,0.00013590252,0.00014481378,0.000036059657],"domain_scores_gemma":[0.9994636,0.00015759344,0.00016431506,0.00005790146,0.00004869268,0.00010782892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005571693,0.00032820136,0.0003912941,0.0012400936,0.00018990345,0.0003957523,0.00030602273,0.00014516132,0.0009785775],"category_scores_gemma":[0.0004364488,0.00021060936,0.00047902684,0.0006085827,0.00018744945,0.00031693027,0.000345892,0.00033041346,0.0001297394],"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":[0.0007229967,0.00031111095,0.08262081,0.00009108275,0.00030270714,0.00047946683,0.00038517851,0.000502678,0.89636636,0.00016343786,0.000091815775,0.01796236],"study_design_scores_gemma":[0.000018017003,0.00059213245,0.9805982,0.0000044765397,0.00012805531,0.0003728231,0.00008130893,0.0012563925,0.016478727,0.00007878417,0.00036838083,0.00002270116],"about_ca_topic_score_codex":0.0012022418,"about_ca_topic_score_gemma":0.0016325254,"teacher_disagreement_score":0.0012400936,"about_ca_system_score_codex":0.00030464408,"about_ca_system_score_gemma":0.00016652205,"threshold_uncertainty_score":0.0032737255},"labels":[],"label_agreement":null},{"id":"W2485509512","doi":"10.2134/agronj2004.1690","title":"Graphic Analysis of Genotype, Environment, Nitrogen Fertilizer, and Their Interactions on Spring Wheat Yield","year":2004,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Grain Research Centre; Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Fusarium; Agronomy; Cultivar; Gene–environment interaction; Fertilizer; Grain yield; Yield (engineering); Biology; Genotype; Interaction; Horticulture","score_opus":0.027524385744641743,"score_gpt":0.19109438730570502,"score_spread":0.16357000156106327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2485509512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99200493,0.00011196016,0.0048640096,0.000029599792,0.000014320788,0.00002490552,0.0017776084,0.0003260466,0.0008466483],"genre_scores_gemma":[0.9889248,0.000083859966,0.007220745,0.000029387045,0.0000047813714,0.000053716463,0.0021513838,0.000092248614,0.0014388973],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994773,0.00020683672,0.00003443983,0.00011324739,0.00010835252,0.000059840855],"domain_scores_gemma":[0.99827504,0.0010849672,0.00018413602,0.00010739514,0.0002093447,0.00013918271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004846201,0.00048481536,0.0004501883,0.0009790144,0.00017455664,0.0005684746,0.0002054319,0.00013832556,0.0020202075],"category_scores_gemma":[0.0012477029,0.00012668279,0.00065000914,0.0009328915,0.00023745252,0.00015059927,0.00026294784,0.00030887415,0.0001520239],"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":[0.005381059,0.0006552024,0.40677047,0.00055732456,0.0012651611,0.000750677,0.00083007064,0.012659161,0.43775815,0.00086593116,0.0025394664,0.12996733],"study_design_scores_gemma":[0.000021678272,0.00057669607,0.97756153,0.0000073729807,0.00019955797,0.00008794105,0.00019606542,0.012524407,0.0075389748,0.00009029341,0.0011665612,0.00002894785],"about_ca_topic_score_codex":0.033439185,"about_ca_topic_score_gemma":0.047445897,"teacher_disagreement_score":0.033439185,"about_ca_system_score_codex":0.0007401656,"about_ca_system_score_gemma":0.0006442509,"threshold_uncertainty_score":0.0664891},"labels":[],"label_agreement":null},{"id":"W2511413559","doi":"10.5376/rgg.2016.07.0005","title":"Gene Action, Combining Ability, Genetic Expression of Heterosis and Characterization of Rice (&lt;i&gt;Oryza sativa&lt;/i&gt; L.) Genotypes for Quality Traits","year":2016,"lang":"en","type":"article","venue":"Rice Genomics and Genetics","topic":"Genetics and Plant Breeding","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":"Amylose; Heterosis; Aroma; Oryza sativa; Grain quality; Mating design; Genetics; Biology; Horticulture; Food science; Gene; Starch; Hybrid","score_opus":0.040610559621507406,"score_gpt":0.23772587007450036,"score_spread":0.19711531045299296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511413559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968438,0.00022111302,0.0019905812,0.000021870386,0.000003485925,0.000011877327,0.0004803526,0.000063513035,0.00036355402],"genre_scores_gemma":[0.99121594,0.0002115007,0.004771472,0.000028832052,0.000004619723,0.000047595393,0.0016169614,0.000073942996,0.0020291733],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995845,0.000059847272,0.00005091694,0.00015015171,0.00010515691,0.000049541795],"domain_scores_gemma":[0.9994319,0.00010586871,0.00022986984,0.00007682732,0.000050622173,0.00010486998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040424344,0.00061175675,0.00043083317,0.00068700605,0.00010261631,0.00025943638,0.00022010275,0.00015391129,0.0007067345],"category_scores_gemma":[0.00022499419,0.00021521376,0.00052980054,0.00044872903,0.00021429622,0.00016113043,0.00023475836,0.00037271157,0.00023079239],"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":[0.00007416402,0.0000198503,0.0009346189,0.0000136497065,0.000013280223,0.000021056165,0.000027942388,0.000038442773,0.99758935,0.000015052814,0.0000048371344,0.0012476371],"study_design_scores_gemma":[0.000029403202,0.0021469877,0.30975387,0.000008346135,0.00026582522,0.0007452452,0.00012851905,0.0015557839,0.68404156,0.00007285181,0.001205115,0.000046545367],"about_ca_topic_score_codex":0.0010865942,"about_ca_topic_score_gemma":0.0013610298,"teacher_disagreement_score":0.0010865942,"about_ca_system_score_codex":0.0003378058,"about_ca_system_score_gemma":0.00023466012,"threshold_uncertainty_score":0.0024510026},"labels":[],"label_agreement":null},{"id":"W25114630","doi":"10.1023/a:1025015401382","title":"Assessment of bulking strategies for RAPD analyses of flax germplasm","year":2003,"lang":"en","type":"article","venue":"Genetic Resources and Crop Evolution","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"RAPD; Biology; Linum; Horticulture; Botany; Veterinary medicine; Genetic diversity; Population; Demography","score_opus":0.0448676112619745,"score_gpt":0.27648118218875545,"score_spread":0.23161357092678095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W25114630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91333836,0.0014914544,0.080863446,0.00018197083,0.000022862716,0.00057309296,0.0010333963,0.00022306679,0.0022724145],"genre_scores_gemma":[0.69588804,0.0012426425,0.29485765,0.00025438916,0.000023449009,0.001059965,0.0038580664,0.000292071,0.002523715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99707305,0.0012855014,0.00027275737,0.00065019855,0.00045503475,0.0002634353],"domain_scores_gemma":[0.99254805,0.0042192293,0.00073465396,0.00090165256,0.0011890718,0.00040725575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073749237,0.0009834006,0.00076647574,0.0014799092,0.00057177845,0.0011576248,0.0015409985,0.0009720484,0.0010381622],"category_scores_gemma":[0.006269044,0.0004981922,0.00059717597,0.0008556442,0.0005133618,0.001042531,0.00082947186,0.001395095,0.0004995215],"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":[0.00045351844,0.00019729808,0.0047574244,0.0001662962,0.000049955226,0.00006045528,0.0002734538,0.0010369644,0.9708164,0.00043465727,0.00006943286,0.021684049],"study_design_scores_gemma":[0.00023551394,0.0029976985,0.052982822,0.00007903352,0.00090160314,0.000573482,0.0006967185,0.013251148,0.92211103,0.0010795471,0.005001687,0.00008963251],"about_ca_topic_score_codex":0.0024062067,"about_ca_topic_score_gemma":0.007849098,"teacher_disagreement_score":0.0073749237,"about_ca_system_score_codex":0.0010692455,"about_ca_system_score_gemma":0.0011164485,"threshold_uncertainty_score":0.039002836},"labels":[],"label_agreement":null},{"id":"W2530581087","doi":"10.2298/gensr1602675s","title":"Biplot analysis of trait relations of spinach (Spinacia oleracea L.) landraces","year":2016,"lang":"en","type":"article","venue":"Genetika","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Spinach; Biplot; Spinacia; Petiole (insect anatomy); Randomized block design; Biology; Trait; Horticulture; Yield (engineering); Quantitative trait locus; Agronomy; Genotype; Botany","score_opus":0.02417325786656179,"score_gpt":0.21106175308729572,"score_spread":0.18688849522073392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530581087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97865903,0.00010869586,0.016218016,0.000045812903,0.000029638924,0.000041373194,0.003373528,0.0005034503,0.0010204602],"genre_scores_gemma":[0.9801477,0.000036466576,0.014059669,0.0000152476,0.000005337471,0.00008217549,0.004533479,0.00009633885,0.0010235077],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99935,0.00024404869,0.000039582745,0.00018193934,0.0001111844,0.00007329236],"domain_scores_gemma":[0.99884343,0.00051287224,0.00014308533,0.0001227701,0.000290158,0.00008760923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000798956,0.0003663934,0.00043563577,0.0011214569,0.00028058764,0.00045167128,0.00019775327,0.000110966466,0.002974283],"category_scores_gemma":[0.0013677081,0.00008732594,0.00046402545,0.0012326321,0.00013637688,0.00017595383,0.00014724885,0.00036391898,0.0003628048],"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":[0.0079457415,0.0012744073,0.34372485,0.00044384613,0.00085935625,0.0007383125,0.0014057312,0.009742173,0.36292082,0.0016099507,0.005348216,0.26398668],"study_design_scores_gemma":[0.000025779265,0.0006938092,0.97065306,0.000011464446,0.000046639547,0.00011491445,0.0002556866,0.018210208,0.007619836,0.00024418923,0.0020944579,0.000029896373],"about_ca_topic_score_codex":0.005747382,"about_ca_topic_score_gemma":0.0043715853,"teacher_disagreement_score":0.005747382,"about_ca_system_score_codex":0.0004277931,"about_ca_system_score_gemma":0.0003330358,"threshold_uncertainty_score":0.01142782},"labels":[],"label_agreement":null},{"id":"W2543248452","doi":"10.1139/cjps-2016-0141","title":"Organic selection may improve yield efficiency in spring wheat: A preliminary analysis.","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cultivar; Anthesis; Agronomy; Organic farming; Yield (engineering); Biomass (ecology); Crop; Biology; Field experiment; Environmental science; Mathematics; Agriculture; Ecology; Materials science","score_opus":0.01619670215233098,"score_gpt":0.1817276909561048,"score_spread":0.16553098880377382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543248452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994029,0.0000570063,0.00020018451,0.0000064781025,0.0000015165175,0.0000075002536,0.00006627266,0.0000046402065,0.00025337495],"genre_scores_gemma":[0.9979625,0.00009800609,0.00079637475,0.00002715705,0.0000017714751,0.000008783211,0.00039795242,0.0000053732438,0.0007021729],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999082,0.00001308986,0.000008029672,0.0000234999,0.000024565521,0.000022617012],"domain_scores_gemma":[0.99976593,0.000051397117,0.000063916144,0.000017143182,0.000043088712,0.00005848078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003132498,0.00033592753,0.00013373449,0.00029633968,0.00021429664,0.0002995695,0.00018884733,0.00011016497,0.0012709778],"category_scores_gemma":[0.00023199322,0.00008434575,0.00015907928,0.00030900165,0.00016997156,0.00015288522,0.00022619766,0.00014478808,0.0000976909],"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":[0.0014291666,0.00029146948,0.11578439,0.00009702404,0.000079696096,0.00025726922,0.00009381525,0.00015490165,0.8650675,0.000075539625,0.00009968246,0.016569538],"study_design_scores_gemma":[0.000048046826,0.001714502,0.94606274,0.0000060945267,0.000097309814,0.00020610412,0.00014484623,0.00038620466,0.04997249,0.00004143108,0.0013121063,0.000008142524],"about_ca_topic_score_codex":0.0053936383,"about_ca_topic_score_gemma":0.020624476,"teacher_disagreement_score":0.0053936383,"about_ca_system_score_codex":0.000580626,"about_ca_system_score_gemma":0.00040537064,"threshold_uncertainty_score":0.010724485},"labels":[],"label_agreement":null},{"id":"W2552173113","doi":"10.1139/cjps-2016-0140","title":"Selection criteria for assessing drought tolerance in a segregating population of flax (Linum usitatissimum L.)","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"University of Isfahan; Isfahan University of Technology","keywords":"Drought tolerance; Biplot; Agronomy; Biology; Linum; Irrigation; Population; Trait; Grain yield; Selection (genetic algorithm); Drought stress; Genotype; Demography; Genetics; Gene","score_opus":0.03879777654906888,"score_gpt":0.25668060576067103,"score_spread":0.21788282921160215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552173113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944818,0.00006219937,0.0050135325,0.00001027375,0.000002529201,0.00004441764,0.00016636908,0.00003189589,0.0001871048],"genre_scores_gemma":[0.9734437,0.00005675339,0.024767429,0.00002159167,0.000004452813,0.00006796891,0.0011943418,0.000023746014,0.0004202327],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968183,0.00009124993,0.000028538676,0.000095196076,0.00007130612,0.00003199388],"domain_scores_gemma":[0.99941766,0.00023976357,0.000106220265,0.000029532921,0.00011216988,0.00009468703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092626084,0.00047238474,0.00038782627,0.0011008778,0.00039036025,0.00035039653,0.00033437612,0.00025631368,0.0006494729],"category_scores_gemma":[0.0008685014,0.00012039703,0.00033299418,0.0005202683,0.00014064094,0.00014528069,0.00019735844,0.0003247159,0.00014674355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093217223,0.00037001728,0.1043623,0.00009537662,0.00013574652,0.00037290994,0.00034490868,0.0018706188,0.84638065,0.00017701932,0.00017840056,0.044779975],"study_design_scores_gemma":[0.00012606545,0.0020450905,0.89269257,0.000026768004,0.0002730956,0.00079911033,0.0004827937,0.016680598,0.08460356,0.0002378221,0.0019617933,0.00007072427],"about_ca_topic_score_codex":0.0024325727,"about_ca_topic_score_gemma":0.0047885724,"teacher_disagreement_score":0.9975674,"about_ca_system_score_codex":0.00039562193,"about_ca_system_score_gemma":0.0003158573,"threshold_uncertainty_score":0.004898548},"labels":[],"label_agreement":null},{"id":"W2552783202","doi":"","title":"Repeat of Great Bengal Famine Unlikely Thanks to Fungicides","year":2012,"lang":"en","type":"article","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Famine; BENGAL; Starvation; Population; Socioeconomics; Government (linguistics); Geography; Malnutrition; Administration (probate law); Agricultural economics; Development economics; Economic growth; Political science; Economics; Biology; Medicine; Environmental health","score_opus":0.040755262155644435,"score_gpt":0.20939039182103603,"score_spread":0.1686351296653916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552783202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50475645,0.06356204,0.0018248518,0.18410322,0.004907514,0.00007854789,0.0032530818,0.0006347843,0.23687953],"genre_scores_gemma":[0.95373774,0.00820116,0.00034870088,0.009571655,0.0009701903,0.0000143373745,0.00031182714,0.00005122458,0.026793089],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99964106,0.000092384944,0.000013922802,0.000064133455,0.0000833042,0.000105230785],"domain_scores_gemma":[0.9993825,0.00006459787,0.0001672409,0.00006979022,0.00014793932,0.0001678676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040787962,0.00035156243,0.00025982005,0.00037179387,0.002018786,0.0018364316,0.00054653425,0.00084971596,0.01481857],"category_scores_gemma":[0.0016747469,0.00009599269,0.0001927234,0.00069781987,0.0014214308,0.0007476164,0.0012280412,0.0012985088,0.0026786956],"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":[0.0028415918,0.0003531753,0.13953133,0.0022077963,0.0003287197,0.030520838,0.0254732,0.0005947096,0.038235858,0.06284991,0.2614614,0.4356015],"study_design_scores_gemma":[0.00005109442,0.00025434216,0.13105737,0.00041489722,0.00008737611,0.010688692,0.014445914,0.00024895172,0.004309427,0.0103969965,0.8279741,0.00007079065],"about_ca_topic_score_codex":0.016816083,"about_ca_topic_score_gemma":0.018909555,"teacher_disagreement_score":0.016816083,"about_ca_system_score_codex":0.0029222174,"about_ca_system_score_gemma":0.0014213956,"threshold_uncertainty_score":0.049573064},"labels":[],"label_agreement":null},{"id":"W2563306680","doi":"10.1038/hortres.2016.66","title":"Stability of fruit quality traits in diverse watermelon cultivars tested in multiple environments","year":2016,"lang":"en","type":"article","venue":"Horticulture Research","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Monsanto (Canada)","funders":"Agricultural Research Service; North Carolina State University; Clemson University; U.S. Department of Agriculture","keywords":"Lycopene; Biology; Sugar; Biplot; Cultivar; Trait; Ammi; Biotechnology; Gene–environment interaction; Horticulture; Botany; Genotype; Food science; Carotenoid; Genetics","score_opus":0.21423082362719856,"score_gpt":0.32726271289904224,"score_spread":0.11303188927184368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563306680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999273,0.000042016407,0.000316513,0.0000057677894,0.0000017826334,0.000012726774,0.00022665491,0.000015642097,0.00010590339],"genre_scores_gemma":[0.9964535,0.000043288434,0.0010641316,0.000032635246,0.0000025315733,0.000052559197,0.0017091731,0.00004092596,0.000601271],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99942076,0.000105363724,0.00006943247,0.00020630869,0.00012895036,0.000069269314],"domain_scores_gemma":[0.9986608,0.00038436733,0.000383591,0.00011882278,0.00026202027,0.0001903613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008780378,0.00041805435,0.00049827626,0.0007760149,0.0003573912,0.00042504098,0.00035907552,0.00028818272,0.0005038946],"category_scores_gemma":[0.0009194026,0.00022351844,0.00048765927,0.00068219524,0.00027220495,0.00041858596,0.0005116006,0.00059360237,0.000106955056],"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":[0.0008515681,0.00019728558,0.048923455,0.000038243845,0.000113441645,0.00013305467,0.0005054031,0.00042517987,0.9449768,0.000031980202,0.00006022341,0.0037435],"study_design_scores_gemma":[0.000024120302,0.0017575646,0.9167692,0.0000043623795,0.00010025409,0.00014869281,0.0002399976,0.0015124239,0.07904375,0.000030860047,0.00033722207,0.000031543343],"about_ca_topic_score_codex":0.005140077,"about_ca_topic_score_gemma":0.008368511,"teacher_disagreement_score":0.005140077,"about_ca_system_score_codex":0.0007033897,"about_ca_system_score_gemma":0.00022350032,"threshold_uncertainty_score":0.010220289},"labels":[],"label_agreement":null},{"id":"W2579156703","doi":"10.5539/jas.v9n2p188","title":"Analysis of Genotype by Environment Interaction of Improved Pearl Millet for Grain Yield and Rust Resistance","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biplot; Rust (programming language); Grain yield; Agronomy; Anthesis; Biology; Gene–environment interaction; Genotype; Pearl; Yield (engineering); Resistance (ecology); Arid; Phakopsora pachyrhizi; Interaction; Cultivar; Geography; Ecology; Materials science","score_opus":0.02285098835177731,"score_gpt":0.22069075687254228,"score_spread":0.19783976852076496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579156703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900085,0.000056586363,0.00053466816,0.0000065343934,0.000004532678,0.00000820715,0.00022489438,0.000021607913,0.00014218269],"genre_scores_gemma":[0.9965178,0.0000437665,0.0018286215,0.000015053804,0.0000029635578,0.00002703369,0.00087278255,0.000041603438,0.0006504376],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99915195,0.00026152137,0.00006553735,0.00023469422,0.00016555375,0.00012081576],"domain_scores_gemma":[0.9991623,0.00037216872,0.00014560505,0.00007319534,0.00008838656,0.00015835877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060401356,0.0004970521,0.0008117437,0.00074459927,0.00021950902,0.00042074846,0.00026487777,0.00023063268,0.0012610717],"category_scores_gemma":[0.0005076189,0.00021186717,0.0006022976,0.0006383586,0.00020413655,0.0002457682,0.00039872093,0.0005666458,0.00016301332],"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":[0.0019372154,0.0004257716,0.036905624,0.0000851313,0.00024356462,0.00035391393,0.00018296209,0.0004899393,0.9517712,0.00008881436,0.0000705554,0.0074452697],"study_design_scores_gemma":[0.000044435183,0.0019590852,0.94050366,0.000005148835,0.00019441053,0.0002752041,0.00019846212,0.0018736575,0.054104604,0.00006920627,0.0007355165,0.00003668779],"about_ca_topic_score_codex":0.0008826038,"about_ca_topic_score_gemma":0.0022049828,"teacher_disagreement_score":0.0012610717,"about_ca_system_score_codex":0.00038343287,"about_ca_system_score_gemma":0.0002553682,"threshold_uncertainty_score":0.004218757},"labels":[],"label_agreement":null},{"id":"W2588494181","doi":"10.5539/jas.v9n3p219","title":"Multivariate Analysis for Yield and Its Component Traits in Experimental Maize Hybrids","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hybrid; Germplasm; Principal component analysis; Biology; Heterosis; Multivariate statistics; Multivariate analysis; Yield (engineering); Crop; Plant breeding; Population; Agronomy; Biotechnology; Statistics; Mathematics; Demography","score_opus":0.06064353664139355,"score_gpt":0.26620763639857237,"score_spread":0.20556409975717882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588494181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968162,0.000060874263,0.0024038288,0.000012941202,0.000005593767,0.000018585459,0.0004221606,0.000026991594,0.00023278761],"genre_scores_gemma":[0.99379647,0.000059764265,0.004347485,0.000015624944,0.000004413847,0.000071474045,0.00091985887,0.00003275911,0.00075230177],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997298,0.000048446964,0.000018069224,0.00009675158,0.00007065185,0.000036166566],"domain_scores_gemma":[0.999716,0.00005235287,0.0000791471,0.000035820238,0.000076889395,0.000039778617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035912104,0.00025725577,0.00028453802,0.0006156109,0.00027547445,0.00032219468,0.00017194528,0.0001259322,0.0006985052],"category_scores_gemma":[0.00038073616,0.000079039695,0.0006083797,0.00064280065,0.00017408808,0.00015959036,0.00025316843,0.00054805755,0.00010760959],"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":[0.0008117566,0.0003564894,0.04361026,0.00006542983,0.00016448993,0.00013140534,0.00054270163,0.00074896467,0.93759227,0.00025798086,0.00014493651,0.015573259],"study_design_scores_gemma":[0.000012510276,0.0011336708,0.9321669,0.0000064543906,0.00011571059,0.00010793026,0.00046801515,0.0039950144,0.060602505,0.0001832265,0.0011551493,0.000052954143],"about_ca_topic_score_codex":0.0025408862,"about_ca_topic_score_gemma":0.003291127,"teacher_disagreement_score":0.0025408862,"about_ca_system_score_codex":0.00037690674,"about_ca_system_score_gemma":0.00016903366,"threshold_uncertainty_score":0.005052209},"labels":[],"label_agreement":null},{"id":"W2588653137","doi":"10.5539/jas.v9n3p245","title":"Heterosis and Specific Combining Ability in Sweet Corn and Its Correlation with Genetic Similarity of Inbred Lines","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":8,"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":"Heterosis; Inbred strain; Diallel cross; Hybrid; Genetic similarity; Biology; Similarity (geometry); Mating design; Randomized block design; Genetic distance; Biotechnology; Genetics; Genetic variation; Genetic diversity; Horticulture; Population; Artificial intelligence; Gene; Computer science","score_opus":0.03918761326346059,"score_gpt":0.22219388450351724,"score_spread":0.18300627124005664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588653137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987534,0.00013223533,0.0007511588,0.0000051140037,0.0000012957223,0.0000051246616,0.000084797044,0.000011993814,0.00025494548],"genre_scores_gemma":[0.99908507,0.000055258588,0.00045667277,0.000004799267,0.000001975831,0.0000065512986,0.00023267731,0.000003836332,0.00015321793],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991314,0.00016342172,0.00011984875,0.00022144213,0.00030555224,0.000058502214],"domain_scores_gemma":[0.9982273,0.00040647303,0.00076846284,0.00019943618,0.00018064564,0.00021767632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008060137,0.00035184206,0.00029508624,0.0016352478,0.00016985022,0.00039008475,0.00019364344,0.00017276632,0.0005247489],"category_scores_gemma":[0.001068741,0.00015375872,0.00036096873,0.0007286244,0.00037060224,0.0002244538,0.0004510055,0.0002876006,0.0000882769],"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":[0.0005337844,0.00022971984,0.21720834,0.00012602311,0.00054932985,0.00033147854,0.00049088075,0.00078925997,0.7624033,0.000556418,0.000051822175,0.016729623],"study_design_scores_gemma":[0.0000145026415,0.00050686946,0.9632982,0.000009080058,0.0001029912,0.0005084463,0.00010605903,0.001744591,0.03311653,0.00026933887,0.00028844408,0.000034886943],"about_ca_topic_score_codex":0.00085137895,"about_ca_topic_score_gemma":0.0011944148,"teacher_disagreement_score":0.0016352478,"about_ca_system_score_codex":0.00025096224,"about_ca_system_score_gemma":0.00022183626,"threshold_uncertainty_score":0.004262686},"labels":[],"label_agreement":null},{"id":"W2589393705","doi":"10.4141/cjps10139","title":"Oat mega-environments and test-locations in Quebec","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"","keywords":"Cultivar; Geography; Biplot; Biology; Agronomy; Genotype","score_opus":0.03619669016353696,"score_gpt":0.16676560957641734,"score_spread":0.13056891941288037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589393705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982806,0.0010531455,0.00128134,0.0002019616,0.000024526578,0.00011865872,0.006856692,0.00013195844,0.0075257965],"genre_scores_gemma":[0.98978466,0.00022188977,0.0013448986,0.00009533826,0.000002201105,0.000055999943,0.003448272,0.000046134635,0.005000551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989574,0.00017284004,0.000041094667,0.00035647443,0.00027748386,0.00019474469],"domain_scores_gemma":[0.99711823,0.0005275523,0.0004599823,0.00019429698,0.0013693968,0.00033050022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010866688,0.0004056256,0.00043155046,0.0009127785,0.0013763111,0.001355973,0.0011153435,0.0002946606,0.0033829957],"category_scores_gemma":[0.0013511968,0.00019628032,0.00038665126,0.0023314296,0.0007061932,0.0004912527,0.00056949194,0.00046570046,0.00034539195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028014106,0.0007049858,0.76066417,0.00033727186,0.0005894949,0.00092938135,0.002953038,0.005560331,0.047787424,0.0014069441,0.011240781,0.16502482],"study_design_scores_gemma":[0.00002807949,0.00016747223,0.99006057,0.0000232309,0.00004632219,0.000030342007,0.00070725597,0.0013962722,0.001069277,0.00004058661,0.0064005214,0.000030207635],"about_ca_topic_score_codex":0.9782356,"about_ca_topic_score_gemma":0.99490404,"teacher_disagreement_score":0.02560343,"about_ca_system_score_codex":0.02560343,"about_ca_system_score_gemma":0.009402506,"threshold_uncertainty_score":0.18576676},"labels":[],"label_agreement":null},{"id":"W2592675819","doi":"10.1139/cjps2010-032","title":"Analysis of covariance in agronomy and crop research","year":2011,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Analysis of covariance; Statistics; Statistical analysis; Mathematics; Stability (learning theory); Covariance; Analysis of variance; Regression analysis; Variance (accounting); Statistical software; Computer science; Machine learning","score_opus":0.6811258585420743,"score_gpt":0.2769223865505327,"score_spread":0.4042034719915416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592675819","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017529585,0.07064072,0.8894758,0.005045626,0.00530107,0.00040357094,0.002452098,0.0035828508,0.021345356],"genre_scores_gemma":[0.034926828,0.06309993,0.86439216,0.003283936,0.0045359735,0.002243181,0.0045289155,0.0027367151,0.020252347],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.972438,0.015917385,0.0026188488,0.0032933198,0.0053884005,0.00034416417],"domain_scores_gemma":[0.9311661,0.05041722,0.0034829425,0.007995347,0.0060533616,0.00088499615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026340669,0.0023848552,0.0036213188,0.005324634,0.0014879977,0.0049251295,0.0026605015,0.0027338255,0.019305548],"category_scores_gemma":[0.048955947,0.0013872418,0.0023155932,0.009289378,0.0063205757,0.0058560977,0.0033721304,0.007620045,0.009330644],"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":[0.0001335647,0.00012271966,0.0025666747,0.004922778,0.00042333698,0.00041764355,0.0011333571,0.004201952,0.0034288222,0.28599194,0.149851,0.54680616],"study_design_scores_gemma":[0.000033428743,0.00019381578,0.0038494251,0.0014466615,0.00014102913,0.0007080345,0.00032059517,0.0060831057,0.002153825,0.3728502,0.6120652,0.00015462763],"about_ca_topic_score_codex":0.0025583217,"about_ca_topic_score_gemma":0.0026378816,"teacher_disagreement_score":0.026340669,"about_ca_system_score_codex":0.0025745046,"about_ca_system_score_gemma":0.0048077926,"threshold_uncertainty_score":0.1393044},"labels":[],"label_agreement":null},{"id":"W2595831257","doi":"10.5539/jas.v9n4p222","title":"Combining Ability and Gene Action of Tropical Maize (Zea mays L.) Inbred Lines under Low and High Nitrogen Conditions","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":35,"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":"Hybrid; Inbred strain; Agronomy; Grain yield; Biology; Mating design; Zea mays; Yield (engineering); Gene; Heterosis; Genetics; Materials science","score_opus":0.04015915888105832,"score_gpt":0.25147418939814553,"score_spread":0.21131503051708722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595831257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991722,0.00009289055,0.0003249117,0.0000052678656,0.000001212751,0.0000067873743,0.00017819644,0.000008011069,0.00021053416],"genre_scores_gemma":[0.9975382,0.00012797823,0.00086397136,0.000014604558,0.0000026121377,0.00002345214,0.00084576476,0.000014226896,0.00056916033],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972814,0.000041575102,0.000029367598,0.0000832122,0.00007643521,0.000041384155],"domain_scores_gemma":[0.9996574,0.000059789167,0.00012885132,0.000032450094,0.000037940827,0.0000836431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003079306,0.00030925366,0.00027314294,0.0008718083,0.00020274344,0.00021958562,0.00025696724,0.0001284567,0.0006533272],"category_scores_gemma":[0.00021575164,0.00012628791,0.00033984063,0.0005050655,0.00016662608,0.0001665303,0.00025557136,0.00024559183,0.00011060548],"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":[0.00027485134,0.000049061116,0.00974121,0.00002975486,0.000028824026,0.000059592094,0.00009601204,0.000065897795,0.9871399,0.000035735877,0.00001256442,0.0024666246],"study_design_scores_gemma":[0.00004426355,0.0015655012,0.8256323,0.000006458493,0.00017674953,0.0005818459,0.0002479897,0.00095844304,0.16938898,0.000086608714,0.0012668158,0.000044043958],"about_ca_topic_score_codex":0.002314842,"about_ca_topic_score_gemma":0.0032739362,"teacher_disagreement_score":0.002314842,"about_ca_system_score_codex":0.0003534981,"about_ca_system_score_gemma":0.00019530451,"threshold_uncertainty_score":0.00460279},"labels":[],"label_agreement":null},{"id":"W2597327681","doi":"10.3389/fpls.2017.00282","title":"Differentiating Wheat Genotypes by Bayesian Hierarchical Nonlinear Mixed Modeling of Wheat Root Density","year":2017,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bayer CropScience; University of Waterloo; Forschungszentrum Jülich; Commonwealth Scientific and Industrial Research Organisation; Australian National University; University of Washington","keywords":"Winter wheat; Bayesian probability; Root (linguistics); Agronomy; Biology; Mathematics; Statistics","score_opus":0.018733514531882677,"score_gpt":0.20864047832654908,"score_spread":0.1899069637946664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597327681","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":[0.21994443,0.00016208453,0.77757007,0.00025947264,0.000025697938,0.00014150023,0.0005946822,0.00035351198,0.0009485568],"genre_scores_gemma":[0.85237306,0.00012433334,0.14204481,0.00012963587,0.000035277266,0.00034125915,0.0011786697,0.00007909842,0.003693946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915946,0.00047983753,0.000029769519,0.00020481444,0.00005590229,0.00007026498],"domain_scores_gemma":[0.9974718,0.0018958802,0.00023833358,0.00014197033,0.00018848812,0.00006365519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032515207,0.00081649725,0.00068161625,0.0007350837,0.00041294098,0.0009717806,0.0013092259,0.00086791936,0.0009940332],"category_scores_gemma":[0.00593281,0.0007594784,0.0015163312,0.00056651165,0.00066007086,0.0007011162,0.0009009423,0.0011976343,0.0002774619],"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":[0.00029693494,0.00014128702,0.011605219,0.00004560111,0.00017232541,0.000056485358,0.0002246227,0.9428654,0.0022598454,0.011851718,0.00052422,0.029956402],"study_design_scores_gemma":[0.0000049649916,0.000013450157,0.0006666962,0.0000018306233,0.000006544208,0.0000033781023,0.000007159945,0.9975574,0.000085746506,0.0015711845,0.00007514583,0.000006498553],"about_ca_topic_score_codex":0.026124993,"about_ca_topic_score_gemma":0.03892378,"teacher_disagreement_score":0.026124993,"about_ca_system_score_codex":0.0009962469,"about_ca_system_score_gemma":0.0009551006,"threshold_uncertainty_score":0.051945865},"labels":[],"label_agreement":null},{"id":"W2611380848","doi":"10.1590/1413-70542017412010116","title":"Genetic variability in elite barley genotypes based on the agro-morphological characteristics evaluated under irrigated system","year":2017,"lang":"en","type":"article","venue":"Ciência e Agrotecnologia","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development","funders":"","keywords":"UPGMA; Biology; Mahalanobis distance; Randomized block design; Agronomy; Genetic variation; Hordeum vulgare; Horticulture; Genetic distance; Crop; Mathematics; Poaceae; Statistics","score_opus":0.03767750522067583,"score_gpt":0.2197946099642982,"score_spread":0.18211710474362236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611380848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99974793,0.00001696372,0.0001201292,0.0000016714273,7.281821e-7,0.0000020149498,0.00004939496,0.0000016143845,0.000059586062],"genre_scores_gemma":[0.9994276,0.000014871406,0.00025899132,0.0000031687007,6.0948804e-7,0.000004112222,0.00016200817,0.0000031308673,0.00012546271],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997763,0.000049643208,0.000027178765,0.00006674606,0.0000454835,0.000034622648],"domain_scores_gemma":[0.9997719,0.000051266325,0.000071404684,0.000026049283,0.00003852798,0.00004091645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029424625,0.00016700274,0.00024857113,0.0004948416,0.00019816511,0.00024465256,0.0001408796,0.00015728263,0.0005450392],"category_scores_gemma":[0.00029817954,0.00009488693,0.00020923054,0.0004620197,0.00016863314,0.00007454393,0.0001848739,0.00014519483,0.00010399275],"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":[0.0006775698,0.00007672712,0.06123291,0.000033546392,0.00008909665,0.00023048483,0.0004485589,0.00020060057,0.93272203,0.00007789527,0.000020639778,0.0041900473],"study_design_scores_gemma":[0.00001572912,0.00031949312,0.9786729,0.0000068779104,0.000044438373,0.0002577574,0.00027528504,0.0006870795,0.01925291,0.0000550901,0.0004008947,0.000011524256],"about_ca_topic_score_codex":0.0012506555,"about_ca_topic_score_gemma":0.0019331789,"teacher_disagreement_score":0.0012506555,"about_ca_system_score_codex":0.00020269917,"about_ca_system_score_gemma":0.00013358219,"threshold_uncertainty_score":0.002486825},"labels":[],"label_agreement":null},{"id":"W2612244334","doi":"10.5539/jas.v9n6p142","title":"Inheritance Pattern of Earliness and Yield Related-Traits in Spring Barley (Hordeum vulgare L.)","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","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":"Heritability; Biology; Heterosis; Inbreeding depression; Hordeum vulgare; Trait; Agronomy; Grain yield; Horticulture; Poaceae; Inbreeding; Genetics; Demography; Population","score_opus":0.02627335624681059,"score_gpt":0.2174969870119679,"score_spread":0.1912236307651573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612244334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99925023,0.000076651406,0.00031014258,0.000009526244,0.0000015707941,0.0000037007583,0.00015741728,0.000014958412,0.00017578491],"genre_scores_gemma":[0.99808276,0.00006591847,0.00045588732,0.000022479582,0.0000028171105,0.000007147652,0.00039434762,0.000017443435,0.0009510968],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998367,0.000023350423,0.000015123053,0.000068644265,0.000032329623,0.00002383478],"domain_scores_gemma":[0.99974805,0.000046767324,0.000076761375,0.000020900687,0.00003308103,0.00007440301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024267459,0.00030768645,0.00017370556,0.00072135066,0.00016369196,0.0001898734,0.00015428466,0.0001632661,0.00088491075],"category_scores_gemma":[0.00022072588,0.00019699146,0.00019138439,0.00022451267,0.00014719844,0.00010484808,0.00018143072,0.00033563352,0.00026678113],"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":[0.00023040899,0.00007504335,0.053699408,0.000031229247,0.00005124427,0.00034293465,0.00024701978,0.000060229024,0.9408293,0.000053928226,0.000054316522,0.0043249605],"study_design_scores_gemma":[0.000010280787,0.00020436945,0.98291814,0.0000054320335,0.000027579092,0.0006288362,0.00008497024,0.00024212651,0.015608342,0.000040863484,0.00021693566,0.000012192656],"about_ca_topic_score_codex":0.001596182,"about_ca_topic_score_gemma":0.0024582702,"teacher_disagreement_score":0.001596182,"about_ca_system_score_codex":0.00028459608,"about_ca_system_score_gemma":0.00015626282,"threshold_uncertainty_score":0.003173709},"labels":[],"label_agreement":null},{"id":"W2746980606","doi":"10.1111/cjag.12139","title":"Hierarchical Bayesian Estimation of a Stochastic Plateau Response Function: Determining Optimal Levels of Nitrogen Fertilization","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":21,"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":"Oklahoma Agricultural Experiment Station; National Institute of Food and Agriculture","keywords":"Mathematics; Nitrogen fertilizer; Statistics; Bayesian probability; Bayes estimator; Plateau (mathematics); Forestry; Biology; Geography; Fertilizer; Ecology","score_opus":0.041305868094600615,"score_gpt":0.1878865004618018,"score_spread":0.1465806323672012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746980606","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":[0.22549169,0.00015170994,0.7722797,0.00008280919,0.0000061670535,0.00006598976,0.00009945624,0.00019416364,0.0016283407],"genre_scores_gemma":[0.8598669,0.00008319376,0.13908151,0.000041474697,0.000006255416,0.00010200084,0.00015394282,0.000033253153,0.0006314481],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992568,0.0003652909,0.00002920548,0.00013896133,0.00014312433,0.00006654624],"domain_scores_gemma":[0.99839693,0.0011438333,0.00015347142,0.000054979497,0.00021285807,0.00003798688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019667933,0.0003921199,0.0007208583,0.00075322896,0.00029637784,0.0006834737,0.00066885725,0.0007770631,0.0009766686],"category_scores_gemma":[0.0053887237,0.00041302404,0.00056231074,0.0003817622,0.0003945794,0.00054286653,0.0006391308,0.00045902075,0.00015256264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016841918,0.00010834645,0.012900703,0.00018103755,0.000100208104,0.000055484274,0.00015674697,0.896844,0.022162024,0.0075454772,0.00026476505,0.05951267],"study_design_scores_gemma":[0.000017216707,0.000056413035,0.004247459,0.000016260905,0.000012672197,0.000009162029,0.000027991457,0.98996276,0.0022295879,0.0032108608,0.00019620804,0.000013454409],"about_ca_topic_score_codex":0.009526022,"about_ca_topic_score_gemma":0.008131179,"teacher_disagreement_score":0.009526022,"about_ca_system_score_codex":0.0006508457,"about_ca_system_score_gemma":0.0013042717,"threshold_uncertainty_score":0.018941104},"labels":[],"label_agreement":null},{"id":"W2748489177","doi":"10.4236/ajps.2017.89153","title":"Analysis of Adaptive Response of Maize (&amp;lt;i&amp;gt;Zea mays&amp;lt;/i&amp;gt;) Varieties from DR-Congo to Water Stress","year":2017,"lang":"en","type":"article","venue":"American Journal of Plant Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Zea mays; Agronomy; Biology; Water stress; Drought tolerance","score_opus":0.07024579214077599,"score_gpt":0.25958437962511827,"score_spread":0.1893385874843423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748489177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995493,0.000059873943,0.000119447395,0.000006166544,0.0000016583169,0.0000069706975,0.00015760517,0.0000055993182,0.000093245646],"genre_scores_gemma":[0.99796605,0.00010261011,0.00054935704,0.000019664067,0.0000020203865,0.000025419446,0.0007656287,0.0000137540055,0.0005555293],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998927,0.00001983443,0.000011478718,0.000037572503,0.000018718392,0.000019699268],"domain_scores_gemma":[0.99981815,0.000028578737,0.00006378819,0.000014561957,0.000019925506,0.000055084754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013749681,0.00029124704,0.00022456406,0.000406445,0.00019784794,0.00023066503,0.00017242106,0.00016988812,0.00058855605],"category_scores_gemma":[0.00017021598,0.00011704919,0.00023504773,0.00030529246,0.00017854535,0.00015587977,0.00021652466,0.00034779013,0.00009317783],"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":[0.00031195238,0.000037028287,0.0030271627,0.000025096419,0.000016390322,0.00003628271,0.00006962783,0.00006014149,0.99579984,0.000032107477,0.000010796821,0.0005735466],"study_design_scores_gemma":[0.00005771822,0.0026333467,0.7627152,0.000010609643,0.0001443149,0.00038184886,0.00043184325,0.0010806742,0.23005918,0.00009170457,0.0023545586,0.000038983395],"about_ca_topic_score_codex":0.0022247625,"about_ca_topic_score_gemma":0.003237829,"teacher_disagreement_score":0.0022247625,"about_ca_system_score_codex":0.00046042787,"about_ca_system_score_gemma":0.00013548421,"threshold_uncertainty_score":0.0044235587},"labels":[],"label_agreement":null},{"id":"W2755958231","doi":"10.5539/jas.v9n10p105","title":"Development of Database of Maize Hybrids and Open Pollinated Varieties Released and Notified for Cultivation in India","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Germplasm; Cultivar; Hybrid; Crop; Database; Adaptability; Biology; Geography; Agronomy; Biotechnology; Computer science","score_opus":0.0532982117912843,"score_gpt":0.26595233917361005,"score_spread":0.21265412738232575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755958231","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019541018,0.0005480712,0.005441822,0.00016853123,0.000079487894,0.0004714537,0.9497575,0.008962012,0.015030082],"genre_scores_gemma":[0.009321411,0.0002643899,0.0074206996,0.00004876944,0.0000137191855,0.00025278283,0.9779173,0.0005224663,0.0042385287],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854267,0.00011614112,0.00035647585,0.00036310012,0.00046436692,0.00015720802],"domain_scores_gemma":[0.995145,0.000716175,0.00070965016,0.0011316366,0.0018453643,0.00045210437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001224295,0.0008572543,0.0009726116,0.010674857,0.00068505964,0.0020639345,0.0024850601,0.0006010841,0.022149088],"category_scores_gemma":[0.003925619,0.0006100624,0.00075231615,0.010948021,0.00020071573,0.0020812291,0.0014727743,0.00094740646,0.020380842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017863514,0.00082127395,0.03830312,0.0055579743,0.00016162908,0.0026885043,0.0018295579,0.0028033778,0.03257119,0.009504394,0.64683497,0.25713757],"study_design_scores_gemma":[0.00011024377,0.00015329028,0.048186656,0.0002695611,0.00012546724,0.00075435574,0.0006551463,0.0014821057,0.0147088235,0.00096620916,0.9324451,0.0001431403],"about_ca_topic_score_codex":0.012546857,"about_ca_topic_score_gemma":0.009685768,"teacher_disagreement_score":0.022149088,"about_ca_system_score_codex":0.0012173232,"about_ca_system_score_gemma":0.0024403725,"threshold_uncertainty_score":0.07409608},"labels":[],"label_agreement":null},{"id":"W2757554395","doi":"10.2135/cropsci2017.05.0290","title":"Nitrogen Fertilizer Complements Breeding in Improving Yield and Quality of Milling Oat","year":2017,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Cultivar; Biplot; Fertilizer; Agronomy; Avena; Biology; Yield (engineering); Grain yield; Grain quality; Nitrogen; Genotype; Mathematics; Chemistry; Materials science; Gene; Biochemistry","score_opus":0.17640406793471852,"score_gpt":0.3056502206737548,"score_spread":0.12924615273903628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757554395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989165,0.00022006978,0.0003845728,0.000028400396,0.0000038724797,0.000013690798,0.000062317435,0.000023119392,0.0003474155],"genre_scores_gemma":[0.9960653,0.000215203,0.0020824652,0.000070550945,0.0000023697492,0.000016230722,0.00022772167,0.000019584899,0.0013005306],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995105,0.00008168384,0.0000424092,0.00017359752,0.00011840208,0.00007331344],"domain_scores_gemma":[0.9995141,0.00007386066,0.00013350199,0.00004139819,0.00009934764,0.0001377724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055339804,0.0003247865,0.00053715886,0.00032459115,0.00046753747,0.000732017,0.000751272,0.0004717593,0.00035466146],"category_scores_gemma":[0.0005096416,0.00022778034,0.0002915009,0.00042788713,0.0003618323,0.00038803558,0.0003485097,0.00034980258,0.0000982579],"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":[0.0005957075,0.00009990943,0.017991895,0.000059707545,0.00006619935,0.0001707956,0.00007991024,0.0003569536,0.975116,0.000039272647,0.000034010238,0.005389677],"study_design_scores_gemma":[0.000092454604,0.0028759714,0.78539187,0.000016096137,0.00020109325,0.00034647374,0.00039670765,0.0027082167,0.20450021,0.00013121389,0.0032977392,0.00004201678],"about_ca_topic_score_codex":0.051189553,"about_ca_topic_score_gemma":0.15690535,"teacher_disagreement_score":0.051189553,"about_ca_system_score_codex":0.002544518,"about_ca_system_score_gemma":0.0015136739,"threshold_uncertainty_score":0.10178316},"labels":[],"label_agreement":null},{"id":"W2760588991","doi":"10.3389/fpls.2017.01636","title":"Genetic Variability of 27 Traits in a Core Collection of Flax (Linum usitatissimum L.)","year":2017,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Western Grains Research Foundation; Saskatchewan Flax Development Commission; Salesforce; Genome Canada","keywords":"Linum; Biology; Botany; Genetics; Evolutionary biology","score_opus":0.030628426923559698,"score_gpt":0.2256271646023465,"score_spread":0.1949987376787868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760588991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989906,0.00004395229,0.00033098634,0.000007636232,0.0000014286231,0.000017812537,0.00044327264,0.000013755539,0.00015049675],"genre_scores_gemma":[0.9911708,0.00007747631,0.002693599,0.000033734686,0.0000051421766,0.00007014651,0.0051858746,0.000026890379,0.00073621905],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996867,0.00006427435,0.00002860672,0.00011554231,0.00006284701,0.000042052725],"domain_scores_gemma":[0.9995695,0.00009192547,0.0001193883,0.00006818082,0.00007035182,0.00008068616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045488164,0.00038068046,0.00029936936,0.0011327374,0.00040889124,0.00020621553,0.00020927441,0.0002128283,0.00094106037],"category_scores_gemma":[0.0004156986,0.00015284367,0.0002840087,0.0006723772,0.00020758559,0.00013417823,0.00030588682,0.00025462013,0.00021934792],"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":[0.0013114854,0.00039525135,0.11205612,0.00008221045,0.00022967366,0.0002493189,0.0008568638,0.0003227942,0.8646565,0.00010334783,0.00020339753,0.019533033],"study_design_scores_gemma":[0.00003544736,0.00047787948,0.987588,0.000007037596,0.0000665632,0.00048806085,0.00012884283,0.00044222787,0.009768541,0.000028098188,0.0009547801,0.000014535585],"about_ca_topic_score_codex":0.0036293508,"about_ca_topic_score_gemma":0.009651684,"teacher_disagreement_score":0.0036293508,"about_ca_system_score_codex":0.0004758262,"about_ca_system_score_gemma":0.00022935512,"threshold_uncertainty_score":0.0072164536},"labels":[],"label_agreement":null},{"id":"W2766531018","doi":"","title":"A Simulation Based Evaluation of the Bootstrap Bias Corrected Percentile Interval Estimators of the Local False Discovery Rates","year":2017,"lang":"en","type":"article","venue":"SUNY Digital Repository Support (State University of New York System)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Library science; Nova scotia; Agency (philosophy); Geography; Operations research; Political science; Regional science; Engineering; Computer science; Sociology; Archaeology; Social science; Law","score_opus":0.06530141715839431,"score_gpt":0.24356497613448405,"score_spread":0.17826355897608975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766531018","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3168841,0.0062005324,0.66432756,0.0014014521,0.0004243335,0.00061475823,0.001791238,0.0025911862,0.0057649175],"genre_scores_gemma":[0.76448554,0.0005954718,0.23163916,0.00023384707,0.0000664659,0.0005247971,0.0014374711,0.00022648468,0.0007907679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96718484,0.027118923,0.0011216976,0.0016092664,0.0024163977,0.0005488582],"domain_scores_gemma":[0.5721278,0.39791924,0.005970473,0.01320362,0.009589271,0.0011895832],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06701701,0.00087426644,0.0015661818,0.003184127,0.00090748264,0.0016269402,0.0021991523,0.0023136474,0.0029396985],"category_scores_gemma":[0.21154836,0.000436995,0.0012651333,0.0028334106,0.0015700123,0.001759787,0.0017297833,0.0018086332,0.00048427473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065822816,0.00041258306,0.040055413,0.00095050246,0.0016673711,0.00061980047,0.00083092693,0.723738,0.003248746,0.04300413,0.007045257,0.17184493],"study_design_scores_gemma":[0.00040827756,0.0008493166,0.010160109,0.00026273038,0.00023075845,0.0007101769,0.0002678745,0.967819,0.0027529038,0.014316257,0.002092919,0.00012966071],"about_ca_topic_score_codex":0.0061117155,"about_ca_topic_score_gemma":0.004483261,"teacher_disagreement_score":0.932983,"about_ca_system_score_codex":0.0018132161,"about_ca_system_score_gemma":0.0019073372,"threshold_uncertainty_score":0.35442406},"labels":[],"label_agreement":null},{"id":"W2766614901","doi":"10.6000/1927-5129.2017.13.85","title":"Analysis of Correlation and Regression among M2 Wheat Mutant Population for Yield and its Associated Traits","year":2017,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","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":"Yield (engineering); Population; Agronomy; Biology; Correlation; Trait; Grain yield; Crop; Regression analysis; Mathematics; Statistics","score_opus":0.05159327700201374,"score_gpt":0.25230886283784965,"score_spread":0.2007155858358359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766614901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998454,0.000033862063,0.001026446,0.00000799996,0.0000033932065,0.0000066399084,0.00028148518,0.000021639687,0.00016449792],"genre_scores_gemma":[0.9975974,0.000020203,0.0011081353,0.0000065980767,0.0000014066684,0.000017683657,0.0006744804,0.000010087286,0.0005639366],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999699,0.000053766707,0.000024020426,0.00011545131,0.0000768466,0.000030880863],"domain_scores_gemma":[0.99941206,0.00022833303,0.00016577318,0.00007150285,0.000054474265,0.00006798797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003378852,0.00024211993,0.00021174559,0.00035999616,0.00009334823,0.00019614992,0.00013418258,0.00015560488,0.00092716585],"category_scores_gemma":[0.0006716397,0.0000946796,0.00027701148,0.00024369688,0.000092338676,0.00007966359,0.00014232895,0.000356842,0.0001574783],"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":[0.00049649243,0.00021453956,0.37073562,0.00005541248,0.00026842955,0.00048937806,0.0002678828,0.0006885444,0.61473894,0.00020608016,0.00023860621,0.011600075],"study_design_scores_gemma":[0.0000075837957,0.00053336786,0.9803775,0.0000034225284,0.000047868205,0.00049634255,0.00006822716,0.002532878,0.015276753,0.00006615875,0.000581012,0.000008964908],"about_ca_topic_score_codex":0.00050516275,"about_ca_topic_score_gemma":0.0008137721,"teacher_disagreement_score":0.00092716585,"about_ca_system_score_codex":0.000112841386,"about_ca_system_score_gemma":0.000091698465,"threshold_uncertainty_score":0.0031017065},"labels":[],"label_agreement":null},{"id":"W2770111823","doi":"10.5539/jas.v9n12p21","title":"Genotype by Trait Associations among Drought Tolerant Maize Inbred Lines","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Agricultural Sciences, Dharwad","keywords":"Biplot; Inbred strain; Trait; Biology; Drought tolerance; Agronomy; Grain yield; Gene–environment interaction; Cultivar; Genotype; Interaction; Productivity; Biotechnology; Genetics; Gene","score_opus":0.02554791204289283,"score_gpt":0.22511147254730715,"score_spread":0.19956356050441432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770111823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992873,0.000021987125,0.00029439697,0.000002395387,8.122155e-7,0.000007352652,0.00031246743,0.0000076255233,0.00006573453],"genre_scores_gemma":[0.99753964,0.000028961033,0.0010859332,0.000007792066,0.0000021713938,0.000027258991,0.00094240275,0.000015442762,0.0003504387],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999673,0.00006299099,0.000043021068,0.000120577344,0.00006139975,0.000039065253],"domain_scores_gemma":[0.99930465,0.00014727637,0.000272618,0.00007141393,0.00008172661,0.00012242612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063132134,0.00035100884,0.0003617021,0.0009642912,0.00018166268,0.00021169495,0.00021372527,0.00015122279,0.0008842128],"category_scores_gemma":[0.0004932398,0.0001574747,0.00021585308,0.00068883644,0.00015226181,0.00013396052,0.000263085,0.00023531704,0.00014220712],"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":[0.0015704825,0.00016309034,0.070208356,0.0000508416,0.0001323126,0.00014174143,0.00029998936,0.00024071237,0.92291176,0.0001212381,0.0000494426,0.004109958],"study_design_scores_gemma":[0.000051984985,0.00085277733,0.9735324,0.0000057281427,0.00011060566,0.00022083052,0.00013794546,0.00095267873,0.023443941,0.000075509844,0.0005906441,0.000025025465],"about_ca_topic_score_codex":0.0008631973,"about_ca_topic_score_gemma":0.0014703808,"teacher_disagreement_score":0.0009642912,"about_ca_system_score_codex":0.00021637729,"about_ca_system_score_gemma":0.0001166592,"threshold_uncertainty_score":0.0033387542},"labels":[],"label_agreement":null},{"id":"W2772319247","doi":"10.5539/jas.v10n1p249","title":"GGE Biplot Analysis of 12 Dioscorea rotundata Genotypes in Ghana","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biplot; Dioscorea rotundata; Gene–environment interaction; Main effect; Genotype; Interaction; Biology; Randomized block design; Agronomy; Ammi; Biotechnology; Mathematics; Statistics; Genetics","score_opus":0.04461172155718058,"score_gpt":0.24646323254003413,"score_spread":0.20185151098285356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772319247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9498228,0.00052161486,0.019072475,0.0001198014,0.00007873405,0.00013030352,0.025317807,0.0021972037,0.0027393398],"genre_scores_gemma":[0.9327722,0.00024442183,0.038393244,0.00005786203,0.000013141147,0.000483069,0.024121234,0.000892013,0.0030228603],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99933606,0.00020140526,0.000048029666,0.00019673372,0.00014184449,0.00007592735],"domain_scores_gemma":[0.99904805,0.00043323965,0.00019265307,0.00008734134,0.00017665878,0.000062040686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009401485,0.0006822012,0.0008852653,0.0019382298,0.00025487834,0.0007695584,0.0002096197,0.00019351166,0.004854242],"category_scores_gemma":[0.0015833005,0.00019039534,0.00066895824,0.0031337466,0.00019037031,0.00025246918,0.00032997777,0.00047115373,0.00079985417],"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":[0.0068728337,0.00085542566,0.30795723,0.0013611475,0.0010281827,0.0017978648,0.00292901,0.0076749437,0.35124487,0.0013912837,0.0158237,0.30106357],"study_design_scores_gemma":[0.000030639683,0.00033708842,0.97659165,0.000035297515,0.000070862385,0.0003113452,0.00049235363,0.006941664,0.00542091,0.00020601814,0.009523089,0.00003908186],"about_ca_topic_score_codex":0.0046826736,"about_ca_topic_score_gemma":0.0041226703,"teacher_disagreement_score":0.004854242,"about_ca_system_score_codex":0.0003248125,"about_ca_system_score_gemma":0.00023352494,"threshold_uncertainty_score":0.016239047},"labels":[],"label_agreement":null},{"id":"W2774305820","doi":"10.5539/jas.v10n1p85","title":"Evaluation of Elite Open-Pollinated Maize Lines in Two Contrasting Environments","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; European Commission","keywords":"Heritability; Open pollination; Gene–environment interaction; Biology; Coefficient of variation; Interaction; Genetic variation; Altitude (triangle); Animal science; Horticulture; Agronomy; Genotype; Mathematics; Statistics; Botany; Evolutionary biology; Genetics","score_opus":0.0843914816754578,"score_gpt":0.31311313851664957,"score_spread":0.22872165684119178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774305820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99972266,0.00001652807,0.0001393533,0.000002192632,7.683295e-7,0.0000054550337,0.00005067608,0.0000038687995,0.000058568163],"genre_scores_gemma":[0.99763644,0.000039805047,0.00094750675,0.000017604254,0.0000021214591,0.00002686541,0.0006090341,0.000011712588,0.0007088696],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986386,0.000025900861,0.000012051178,0.000036396024,0.000041786625,0.000019992543],"domain_scores_gemma":[0.9997707,0.00003922632,0.00006545822,0.000026517038,0.000037438942,0.000060662573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016802884,0.00023408807,0.00017608961,0.0002932249,0.00016548259,0.00019186675,0.00018601547,0.00016440054,0.0005690443],"category_scores_gemma":[0.00028740623,0.00009276708,0.0001791955,0.00016872755,0.00011646468,0.00009300783,0.00024077966,0.00016837558,0.00011516727],"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":[0.00024354759,0.000061306295,0.015918927,0.000017909986,0.000021667076,0.00012123296,0.00013796285,0.00007817451,0.98081815,0.000019552295,0.000012607525,0.0025489721],"study_design_scores_gemma":[0.000037581674,0.0018202537,0.89850944,0.0000046529367,0.000057527956,0.00043358604,0.00024367898,0.0007783213,0.097106606,0.000027591477,0.00096348877,0.000017311384],"about_ca_topic_score_codex":0.0012596024,"about_ca_topic_score_gemma":0.0024216475,"teacher_disagreement_score":0.0012596024,"about_ca_system_score_codex":0.000222108,"about_ca_system_score_gemma":0.000102229635,"threshold_uncertainty_score":0.0025045872},"labels":[],"label_agreement":null},{"id":"W2783195262","doi":"10.5539/jas.v10n2p187","title":"Interrelations of Characters and Multivariate Analysis in Corn","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":21,"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":"Hybrid; Randomized block design; Grain yield; Multivariate statistics; Yield (engineering); Biology; Crop; Agronomy; Mathematics; Crop yield; Statistics; Horticulture","score_opus":0.02396594019708543,"score_gpt":0.2320235067360543,"score_spread":0.20805756653896887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783195262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971886,0.000048621565,0.0023619842,0.000006479068,0.0000012539899,0.0000040273057,0.00005311232,0.0000136651615,0.0003222892],"genre_scores_gemma":[0.99836665,0.000022922037,0.0014129482,0.0000015737934,0.0000017031393,0.0000044414064,0.00009670042,0.0000051071647,0.00008801097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952364,0.00017855753,0.000030480662,0.000115673945,0.00010304455,0.00004860397],"domain_scores_gemma":[0.9990207,0.00048251182,0.00020101419,0.00010828515,0.000116419666,0.000071043985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005323272,0.00016669522,0.00018549952,0.0010216332,0.00023905239,0.0005176562,0.00009715356,0.00010540685,0.0006547343],"category_scores_gemma":[0.0018513659,0.00009036342,0.00029921156,0.0007855274,0.00036130182,0.0002072901,0.0003690513,0.00020556299,0.000059937236],"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":[0.0012633798,0.00020687205,0.79738045,0.00008562967,0.00025634316,0.00025165585,0.0005756111,0.0075808144,0.08457101,0.0020899423,0.00018266565,0.1055556],"study_design_scores_gemma":[0.000005581272,0.0001287798,0.9805689,0.0000045656443,0.000024395764,0.0001395615,0.00013615043,0.013099723,0.0048616007,0.00078450615,0.00022692137,0.000019320256],"about_ca_topic_score_codex":0.0025793947,"about_ca_topic_score_gemma":0.0025897855,"teacher_disagreement_score":0.0025793947,"about_ca_system_score_codex":0.00024580478,"about_ca_system_score_gemma":0.0002626627,"threshold_uncertainty_score":0.0051287413},"labels":[],"label_agreement":null},{"id":"W2785701833","doi":"10.1007/s00122-018-3056-z","title":"Efficient genome-wide genotyping strategies and data integration in crop plants","year":2018,"lang":"en","type":"review","venue":"Theoretical and Applied Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Genome Canada","keywords":"Genotyping; Biology; Imputation (statistics); SNP genotyping; Genome; Computational biology; Workflow; DNA sequencing; Data science; Computer science; Biotechnology; Genotype; Missing data; Genetics; Database; Gene; Machine learning","score_opus":0.0636376053430296,"score_gpt":0.2753182027154778,"score_spread":0.2116805973724482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785701833","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":[0.0005674588,0.98253804,0.013808121,0.00065119413,0.00036949452,0.000021470476,0.000139515,0.00009047704,0.0018143543],"genre_scores_gemma":[0.0046036,0.9810417,0.011179106,0.00072903396,0.00030990737,0.000040391853,0.00041912415,0.000031558287,0.0016455989],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926966,0.00014054606,0.00005985867,0.00020406219,0.0002644183,0.00006143734],"domain_scores_gemma":[0.99878293,0.0007570098,0.00012595057,0.00007648372,0.00021309458,0.000044533277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023957926,0.0010166648,0.0017882873,0.001713523,0.00026042544,0.0016237035,0.0021203617,0.0015323529,0.0020057638],"category_scores_gemma":[0.0024400603,0.0005602121,0.00067061983,0.0023741177,0.0008261612,0.0018263897,0.0010841835,0.0018627413,0.0015650361],"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":[0.00005725346,0.000034910532,0.00028107598,0.009084855,0.00011607007,0.00015587718,0.00006474446,0.0009916668,0.01074495,0.011442691,0.011481283,0.95554453],"study_design_scores_gemma":[0.00002174979,0.0000866323,0.0013163621,0.0025067867,0.0002965342,0.001280002,0.0000711264,0.0010096427,0.010069233,0.0122781135,0.97099507,0.00006875765],"about_ca_topic_score_codex":0.0010291311,"about_ca_topic_score_gemma":0.001380644,"teacher_disagreement_score":0.0023957926,"about_ca_system_score_codex":0.00061533344,"about_ca_system_score_gemma":0.0012801376,"threshold_uncertainty_score":0.012670338},"labels":[],"label_agreement":null},{"id":"W2787415174","doi":"10.5539/jas.v10n3p253","title":"Combining Ability for Grain Yield Performance among CIMMYT Germplasm Adapted to the Mid-Altitude Conditions","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Germplasm; Hybrid; Heritability; Biology; Grain yield; Inbred strain; Agronomy; Gene–environment interaction; Yield (engineering); Heterosis; Drought tolerance; Interaction; Zea mays; Genetic gain; Biotechnology; Genotype; Genetic variation; Genetics","score_opus":0.03807661996794832,"score_gpt":0.2404320495544147,"score_spread":0.20235542958646638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787415174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988852,0.00009540357,0.0004613123,0.00001303467,0.0000032145751,0.0000073222755,0.00028806445,0.000025886617,0.00022050594],"genre_scores_gemma":[0.996449,0.00008083992,0.0011703179,0.000026307376,0.0000039987094,0.00001858859,0.0017601035,0.000030537907,0.00046019553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996693,0.000068345056,0.00003433634,0.00011202631,0.0000638009,0.000052271404],"domain_scores_gemma":[0.99967027,0.000073486866,0.000083263585,0.000051523228,0.000037399248,0.000084064406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005702885,0.00048504118,0.000385439,0.0008658457,0.00022000184,0.00036558392,0.00034843796,0.00025051567,0.0010271516],"category_scores_gemma":[0.00052016065,0.00015018298,0.00043752915,0.0006197356,0.00015264734,0.00021537121,0.00042338358,0.000406576,0.00031015155],"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":[0.00091820577,0.00012277914,0.053106226,0.000047175276,0.00016287403,0.00022247912,0.00028857324,0.00033653693,0.9355996,0.00006380105,0.000107746826,0.009023966],"study_design_scores_gemma":[0.000027187074,0.0005498074,0.9714068,0.000006144662,0.00009011544,0.00033071713,0.00012976363,0.00061008666,0.026028937,0.00003955009,0.0007673035,0.0000134661],"about_ca_topic_score_codex":0.0015798309,"about_ca_topic_score_gemma":0.0022223147,"teacher_disagreement_score":0.0015798309,"about_ca_system_score_codex":0.00042064837,"about_ca_system_score_gemma":0.00012572715,"threshold_uncertainty_score":0.0034360886},"labels":[],"label_agreement":null},{"id":"W2792718289","doi":"10.1139/cjps-2017-0282","title":"Optimal models in the yield analysis of new flax cultivars","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Western Grains Research Foundation; Saskatchewan Flax Development Commission","keywords":"Residual; Cultivar; Mixed model; Mathematics; Homogeneous; Statistics; Yield (engineering); Variance (accounting); Agronomy; Algorithm; Biology; Combinatorics","score_opus":0.07155014651073374,"score_gpt":0.22153061175824978,"score_spread":0.14998046524751604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792718289","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":[0.4860181,0.001354199,0.50723594,0.0004534139,0.000051960986,0.00067992887,0.0012906389,0.0004689078,0.0024468955],"genre_scores_gemma":[0.7815461,0.0004433548,0.21307139,0.00017360252,0.000027647327,0.00092267117,0.001851665,0.00017439455,0.0017892113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.983272,0.013201371,0.000498732,0.0018039404,0.0007778079,0.00044612537],"domain_scores_gemma":[0.9733281,0.022718396,0.0015258276,0.0009612597,0.0012421085,0.00022428886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026126193,0.0015244822,0.0020087336,0.0023138917,0.0007609654,0.0019827688,0.0018760819,0.001049635,0.0016405345],"category_scores_gemma":[0.034505714,0.0011017103,0.0036323762,0.0015512753,0.0008802447,0.0021547957,0.0016749359,0.001846402,0.00036420726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020974514,0.000504511,0.06211446,0.000552981,0.0021769397,0.0003487772,0.00089083513,0.81241065,0.00384219,0.026446853,0.001695653,0.08691868],"study_design_scores_gemma":[0.00014048527,0.000656187,0.018972052,0.000089905676,0.00033837341,0.000056509918,0.00041949493,0.95029914,0.0012335846,0.025407696,0.0022742362,0.00011238017],"about_ca_topic_score_codex":0.019037943,"about_ca_topic_score_gemma":0.029337374,"teacher_disagreement_score":0.026126193,"about_ca_system_score_codex":0.003146911,"about_ca_system_score_gemma":0.0033527156,"threshold_uncertainty_score":0.13817018},"labels":[],"label_agreement":null},{"id":"W2793208367","doi":"10.3198/jpr2017.08.0051crc","title":"Registration of ‘TAMO 411’ Oat","year":2018,"lang":"en","type":"article","venue":"Journal of Plant Registrations","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Texas AgriLife Research","keywords":"Avena; Forage; Agronomy; Biology","score_opus":0.04382522975419271,"score_gpt":0.22304820780872006,"score_spread":0.17922297805452736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793208367","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41880897,0.00067914353,0.011177627,0.0019362577,0.00426792,0.008236613,0.088860415,0.0024044777,0.46362868],"genre_scores_gemma":[0.30334675,0.0008216175,0.012939258,0.0010232091,0.0006323015,0.0052079777,0.15499283,0.0016790415,0.519357],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917346,0.00010830977,0.00010859399,0.00017367108,0.0002863855,0.00014955843],"domain_scores_gemma":[0.99846375,0.00009697432,0.00018667403,0.0005623971,0.00036512595,0.0003250891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011687869,0.00038218548,0.00044537612,0.0011522772,0.0013193821,0.0009108165,0.00073441956,0.000604042,0.09481874],"category_scores_gemma":[0.0012523457,0.00022609932,0.00032622454,0.0010058206,0.00036141585,0.00080240273,0.0008524659,0.00086524285,0.037777383],"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":[0.0043094913,0.0029294551,0.016437845,0.00064916204,0.000058913425,0.0041046697,0.001612048,0.00030852327,0.38235006,0.020318214,0.3686533,0.1982683],"study_design_scores_gemma":[0.00017947127,0.0011741632,0.026528196,0.00003195169,0.000014201564,0.0006635832,0.00026704973,0.00020512922,0.010282528,0.00031283096,0.96031094,0.000029926714],"about_ca_topic_score_codex":0.0036295473,"about_ca_topic_score_gemma":0.0109200915,"teacher_disagreement_score":0.09481874,"about_ca_system_score_codex":0.0007294553,"about_ca_system_score_gemma":0.00087505276,"threshold_uncertainty_score":0.3172003},"labels":[],"label_agreement":null},{"id":"W2796856922","doi":"10.5539/jas.v10n5p319","title":"Agronomic Performance and Multivariate Analysis Applied to Three-Waycross Maize Hybrids","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spike (software development); Hybrid; Biology; Yield (engineering); Multivariate statistics; Agronomy; Grain yield; Mathematics; Horticulture; Materials science; Statistics; Composite material","score_opus":0.0167705598056747,"score_gpt":0.21000176004014814,"score_spread":0.19323120023447343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796856922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99323964,0.000040002113,0.006207389,0.000007383202,0.000003933065,0.0000091048205,0.00023448814,0.00006507887,0.00019298146],"genre_scores_gemma":[0.99080855,0.000037992777,0.00808192,0.000008307059,0.000003305442,0.00002926138,0.0006394203,0.000041985324,0.00034924631],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958116,0.00012245837,0.000027099008,0.00013631715,0.000095160445,0.000037773378],"domain_scores_gemma":[0.9993962,0.00021606375,0.0001156742,0.00009990777,0.000097505035,0.00007471024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005366481,0.0003579748,0.00025609773,0.0006011801,0.00025513725,0.0005764972,0.00014938205,0.00016398783,0.00082349434],"category_scores_gemma":[0.0008460399,0.00007999,0.0005895458,0.00041273024,0.0001652905,0.00015414922,0.00034886008,0.0003250879,0.00018836553],"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":[0.0006602275,0.00020043169,0.0671489,0.000067906214,0.00028274456,0.0002532276,0.00035276246,0.0017727957,0.90068954,0.0003436233,0.00009567165,0.028132241],"study_design_scores_gemma":[0.000013023126,0.0008204314,0.8973362,0.0000069732773,0.00013498527,0.00037836877,0.00030451865,0.012330126,0.087287575,0.00037783867,0.00093687634,0.00007307852],"about_ca_topic_score_codex":0.0020744829,"about_ca_topic_score_gemma":0.0017110499,"teacher_disagreement_score":0.0020744829,"about_ca_system_score_codex":0.00022159866,"about_ca_system_score_gemma":0.00017549875,"threshold_uncertainty_score":0.00412482},"labels":[],"label_agreement":null},{"id":"W2797306071","doi":"10.5539/jas.v10n5p179","title":"Combination Capacity and Association Among Traits of Grain Yield in Wheat (Triticum aestivum L.): A Review","year":2018,"lang":"en","type":"review","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trait; Selection (genetic algorithm); Biology; Grain yield; Quantitative trait locus; Biotechnology; Path analysis (statistics); Crossover; Agronomy; Statistics; Genetics; Gene; Mathematics; Computer science; Machine learning","score_opus":0.05758653359838245,"score_gpt":0.25672560431379066,"score_spread":0.1991390707154082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797306071","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":[0.00020137649,0.99919707,0.00007305395,0.000109987996,0.000044645396,0.0000031397778,0.000028256089,0.000003327056,0.00033920197],"genre_scores_gemma":[0.0014858502,0.9980167,0.00017888188,0.000070997776,0.00006408606,0.0000045894703,0.000041650837,0.0000010689757,0.00013609459],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982685,0.000028744356,0.000044210254,0.000046423593,0.000044236487,0.0000096051335],"domain_scores_gemma":[0.9991466,0.00052838004,0.00014846023,0.000017490027,0.0001227823,0.000036335798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006397805,0.00074841833,0.0013047167,0.003115811,0.00021745774,0.0008670126,0.0007802645,0.0006444504,0.002768828],"category_scores_gemma":[0.0013407966,0.0002781643,0.00072477775,0.0025596567,0.00035303147,0.0011279323,0.0003934726,0.00068838237,0.0006043625],"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":[0.0001103718,0.00007604416,0.001171397,0.054136384,0.00042254833,0.00024042762,0.0000919879,0.00039618046,0.0010917949,0.0018558223,0.011195671,0.92921126],"study_design_scores_gemma":[0.000042821423,0.0004148873,0.012968817,0.026448475,0.0026130432,0.004460087,0.00023694348,0.0002686937,0.0010287792,0.0039562215,0.94747806,0.00008321846],"about_ca_topic_score_codex":0.0017849496,"about_ca_topic_score_gemma":0.0023589772,"teacher_disagreement_score":0.003115811,"about_ca_system_score_codex":0.00037484852,"about_ca_system_score_gemma":0.000982,"threshold_uncertainty_score":0.009262621},"labels":[],"label_agreement":null},{"id":"W2798067040","doi":"10.7939/r3zd2f","title":"The genetics of competitive ability in spring wheat.","year":2010,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spring (device); Biology; Engineering","score_opus":0.00862132493533355,"score_gpt":0.1475741284471608,"score_spread":0.13895280351182726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798067040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97824186,0.0034209518,0.0071339533,0.00042646317,0.000055274184,0.00006272083,0.0013141423,0.00017833132,0.009166342],"genre_scores_gemma":[0.9886895,0.0011151038,0.0026112974,0.00022797557,0.000023570328,0.000045256947,0.0011659426,0.000031470187,0.006089976],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998678,0.000019667465,0.0000079588735,0.000030288167,0.000055715,0.000018565337],"domain_scores_gemma":[0.9998616,0.00002698183,0.000040046227,0.000010884307,0.000022299331,0.000038207967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018605255,0.0004921432,0.00018709573,0.0005041759,0.0003687589,0.00034877894,0.00030068398,0.0001952669,0.0016397686],"category_scores_gemma":[0.0001944965,0.00012435728,0.0001794282,0.00042988142,0.00033646537,0.00017319896,0.0004215699,0.0002559781,0.00021032963],"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":[0.0001596312,0.000069105976,0.01817362,0.00015738688,0.000061781946,0.00041055196,0.0002968932,0.0006265265,0.93001324,0.0021642607,0.00058395346,0.047283005],"study_design_scores_gemma":[0.000106616775,0.0008732921,0.8940798,0.00006200454,0.00019718689,0.0026423766,0.00043977768,0.0038058185,0.05262698,0.004164917,0.040916175,0.00008507797],"about_ca_topic_score_codex":0.014312375,"about_ca_topic_score_gemma":0.022711702,"teacher_disagreement_score":0.014312375,"about_ca_system_score_codex":0.0007101034,"about_ca_system_score_gemma":0.0005494433,"threshold_uncertainty_score":0.028458178},"labels":[],"label_agreement":null},{"id":"W2802995179","doi":"10.11606/d.11.2017.tde-20072017-133448","title":"Modelos para análise de dados superdispersos de indução de haploidia em milho","year":2017,"lang":"pt","type":"dissertation","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Philosophy","score_opus":0.06720920471528935,"score_gpt":0.2743218053233846,"score_spread":0.20711260060809528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802995179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8827461,0.0007369357,0.10607539,0.00015186252,0.00008088103,0.00041568035,0.006085074,0.0011641688,0.0025438508],"genre_scores_gemma":[0.898817,0.00078438077,0.084511116,0.00012752537,0.000017410788,0.0015063299,0.0062745013,0.0002862029,0.0076755816],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948525,0.00008803323,0.000032731106,0.00016140989,0.00018119907,0.000051303952],"domain_scores_gemma":[0.99886453,0.00050635653,0.00019804579,0.00016559343,0.00016452336,0.000100998346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009116308,0.0005071945,0.00063848455,0.0005521786,0.00031860982,0.0006415246,0.00058324396,0.00047938016,0.0039166315],"category_scores_gemma":[0.0009974322,0.00030867543,0.00059769244,0.0005330205,0.00028314625,0.0004167189,0.0004275126,0.00082240085,0.00058259006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010475588,0.00037774103,0.01018867,0.00033478736,0.00009832345,0.00015150453,0.00029095015,0.0061559295,0.96373457,0.000994328,0.0004298827,0.0161958],"study_design_scores_gemma":[0.00012817982,0.0027577244,0.09362383,0.00008409172,0.0003341177,0.00047649993,0.0005423876,0.14485516,0.7405382,0.0028904602,0.013629893,0.00013943316],"about_ca_topic_score_codex":0.0017142694,"about_ca_topic_score_gemma":0.003021975,"teacher_disagreement_score":0.0039166315,"about_ca_system_score_codex":0.0005413528,"about_ca_system_score_gemma":0.00047918348,"threshold_uncertainty_score":0.013102412},"labels":[],"label_agreement":null},{"id":"W2803824785","doi":"10.19026/ajas.5.1502","title":"Interrelationship and Path Coefficient Analysis of Yield Components in F4 Progenies of Tef (&lt;em&gt;Eragrostis tef&lt;/em&gt;)","year":2013,"lang":"en","type":"article","venue":"Asian Journal of Agricultural Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Panicle; Path coefficient; Eragrostis; Shoot; Path analysis (statistics); Agronomy; Mathematics; Yield (engineering); Biology; Horticulture; Statistics","score_opus":0.042877821286121956,"score_gpt":0.21360983146604173,"score_spread":0.1707320101799198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803824785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995597,0.000008246366,0.00018691727,0.0000012424946,5.179063e-7,0.000001553524,0.00015966092,0.0000059361914,0.00007624937],"genre_scores_gemma":[0.9969472,0.000017319055,0.0008736977,0.0000045122097,0.0000011074078,0.000013682533,0.0014256827,0.000018753923,0.00069798925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998018,0.00003432311,0.000012174397,0.00008605293,0.000032835564,0.00003287555],"domain_scores_gemma":[0.99930656,0.0002819672,0.00012443139,0.000057311503,0.0001146517,0.00011506224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030354442,0.00037938237,0.00025363956,0.0010079775,0.0002070882,0.00024120475,0.00023788578,0.00013312302,0.0014101462],"category_scores_gemma":[0.0007083363,0.00019605736,0.0002930413,0.00044113307,0.00015719206,0.00013268947,0.00028219627,0.00029446092,0.00030264314],"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":[0.0008392672,0.0002004798,0.61227685,0.00003873642,0.00030179683,0.00063909125,0.0007262802,0.0010739091,0.365062,0.00023728379,0.00019002854,0.01841416],"study_design_scores_gemma":[0.0000048210536,0.00011345425,0.99552155,0.000001211566,0.00002812585,0.00014379981,0.000059682166,0.00086173066,0.0030062587,0.000024562823,0.00022463471,0.00001023835],"about_ca_topic_score_codex":0.004928622,"about_ca_topic_score_gemma":0.006452689,"teacher_disagreement_score":0.004928622,"about_ca_system_score_codex":0.00034672068,"about_ca_system_score_gemma":0.00017960535,"threshold_uncertainty_score":0.009799838},"labels":[],"label_agreement":null},{"id":"W2807087774","doi":"10.1038/s41598-018-26688-8","title":"Genotype by Yield*Trait (GYT) Biplot: a Novel Approach for Genotype Selection based on Multiple Traits","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":230,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biplot; Trait; Selection (genetic algorithm); Genotype; Biology; Biotechnology; Statistics; Mathematics; Genetics; Computer science; Machine learning; Gene","score_opus":0.046513225307496714,"score_gpt":0.21408323238596344,"score_spread":0.16757000707846673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807087774","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049105093,0.0002757962,0.93387854,0.0001479671,0.00014291589,0.00020551487,0.00524921,0.0095409015,0.0014540688],"genre_scores_gemma":[0.21624525,0.00017798775,0.7677854,0.0002069066,0.00009557146,0.0006405265,0.010117146,0.0020653154,0.0026659223],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981693,0.00069645,0.0000915251,0.0004941482,0.0004424192,0.00010613869],"domain_scores_gemma":[0.9973373,0.0009356735,0.0003863715,0.0006081945,0.0005573511,0.00017512427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022609043,0.0015132957,0.0012696069,0.0025834893,0.00047775844,0.0011557858,0.00083033973,0.000397497,0.0037938068],"category_scores_gemma":[0.0038954143,0.00037979512,0.0013242308,0.0025103707,0.00035943615,0.00069630594,0.0010756523,0.0014145445,0.0011972779],"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":[0.0023135259,0.0009725215,0.04767386,0.000804852,0.0015447567,0.0006272254,0.00057575334,0.04572271,0.07405986,0.009970389,0.028998643,0.78673583],"study_design_scores_gemma":[0.00046210826,0.0016548947,0.1446296,0.00012568207,0.00043174563,0.0011000561,0.0002411769,0.74755615,0.024506353,0.022355312,0.056565344,0.00037158118],"about_ca_topic_score_codex":0.002536887,"about_ca_topic_score_gemma":0.0028304332,"teacher_disagreement_score":0.0037938068,"about_ca_system_score_codex":0.0004057149,"about_ca_system_score_gemma":0.0007735559,"threshold_uncertainty_score":0.012691557},"labels":[],"label_agreement":null},{"id":"W2807489388","doi":"10.9787/pbb.2018.6.2.159","title":"Genetic Diversity and Association Analyses of Canadian Maize Inbred Lines with Agronomic Traits and Simple Sequence Repeat Markers","year":2018,"lang":"en","type":"article","venue":"Plant Breeding and Biotechnology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Rural Development Administration; Korea Forest Service; Ministry of Agriculture, Food and Rural Affairs; Ministry of Oceans and Fisheries; Kangwon National University","keywords":"Biology; Genetic diversity; Inbred strain; Microsatellite; Diversity (politics); Agronomy; Genetics; Association (psychology); Sequence (biology); Simple (philosophy); Biotechnology; Allele; Gene; Population","score_opus":0.05294520570453699,"score_gpt":0.20881891682919657,"score_spread":0.1558737111246596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807489388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682605,0.00014687324,0.00055105134,0.000042558542,0.000004797384,0.00002542159,0.0011731056,0.000015538542,0.0012147189],"genre_scores_gemma":[0.99385935,0.00016457254,0.0014648131,0.00003020313,0.0000038905887,0.000026137883,0.0019740553,0.000031013406,0.002445937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983612,0.000152689,0.0000642495,0.00046900802,0.0005445922,0.000408257],"domain_scores_gemma":[0.99860054,0.00022490161,0.00021310117,0.00009802425,0.00055028877,0.0003130673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005062,0.0006444612,0.00054129265,0.0046143355,0.002491366,0.00073623774,0.001062023,0.00036600343,0.0023707366],"category_scores_gemma":[0.0010783945,0.00031401197,0.0007475958,0.0064631044,0.000885469,0.00015882768,0.0007084521,0.000659378,0.00019830783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032977501,0.00027944767,0.662459,0.00012138184,0.0012563572,0.0008621018,0.005890739,0.0011942036,0.2806424,0.0033541862,0.0013320062,0.039310418],"study_design_scores_gemma":[0.000028188106,0.00003724977,0.9950074,0.000006428475,0.00011496914,0.00012272659,0.00041812815,0.00039234993,0.001659846,0.00008482775,0.0021016425,0.000026247955],"about_ca_topic_score_codex":0.8609114,"about_ca_topic_score_gemma":0.9457267,"teacher_disagreement_score":0.13908857,"about_ca_system_score_codex":0.008684093,"about_ca_system_score_gemma":0.007292083,"threshold_uncertainty_score":0.27981532},"labels":[],"label_agreement":null},{"id":"W2886294327","doi":"10.5539/jas.v10n9p209","title":"Sample Sufficiency for Mean Estimation of Productive Traits of Sunn Hemp","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sowing; Agronomy; Mathematics; Biology; Crotalaria juncea; Confidence interval; Sample size determination; Statistics; Green manure","score_opus":0.03246344299796093,"score_gpt":0.24212992152319962,"score_spread":0.20966647852523868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886294327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.586678,0.00084585417,0.40414587,0.00025368208,0.00023018796,0.0023259758,0.0013699995,0.00053944596,0.0036110294],"genre_scores_gemma":[0.8442764,0.00016761944,0.14912379,0.00026808764,0.00008418032,0.0034366767,0.0016360473,0.00014164082,0.00086553214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9833573,0.007499409,0.0015087347,0.003176131,0.0041254363,0.00033309762],"domain_scores_gemma":[0.9370225,0.04571166,0.0031018541,0.007200059,0.0065382146,0.0004256894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020749731,0.0003929424,0.0009328941,0.00084861345,0.00085631426,0.00058853923,0.0008186806,0.0010690422,0.002027423],"category_scores_gemma":[0.06748323,0.0003426774,0.000674239,0.0005192106,0.00091800775,0.0006655177,0.0008064647,0.00067566574,0.00048052918],"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":[0.00729352,0.0014079002,0.45138308,0.0012231629,0.00087629765,0.0012648398,0.0030195662,0.0084054805,0.25173488,0.0044102897,0.004721912,0.26425907],"study_design_scores_gemma":[0.0006517349,0.008524279,0.75191116,0.00031198005,0.000919186,0.0018084542,0.0009110761,0.07603914,0.12823734,0.0061236597,0.024409303,0.00015274987],"about_ca_topic_score_codex":0.0006159325,"about_ca_topic_score_gemma":0.0010863013,"teacher_disagreement_score":0.020749731,"about_ca_system_score_codex":0.00028980695,"about_ca_system_score_gemma":0.00038140497,"threshold_uncertainty_score":0.10973638},"labels":[],"label_agreement":null},{"id":"W2887874888","doi":"10.5539/jas.v10n9p55","title":"Grain Yield Performance and Stability of Quality Protein Maize Single Cross Hybrids in Mid-altitude Environment in Uganda","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","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":"Ammi; Biplot; Hybrid; Gene–environment interaction; Grain yield; Principal component analysis; Biology; Agronomy; Adaptation (eye); Inbred strain; Main effect; Yield (engineering); Genotype; Interaction; Stability (learning theory); Grain quality; Biotechnology; Mathematics; Statistics; Genetics; Computer science; Gene","score_opus":0.043620060899802415,"score_gpt":0.23958167652352103,"score_spread":0.1959616156237186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887874888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998306,0.000019491537,0.000044843895,0.0000016098086,4.3684727e-7,0.0000014246916,0.000039129583,0.0000014969619,0.00006074627],"genre_scores_gemma":[0.99945897,0.00002207074,0.0001649409,0.00000467003,4.2829134e-7,0.0000049579176,0.00012967513,0.0000035461437,0.00021067752],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979967,0.000030565763,0.00001916858,0.00007419371,0.000039426912,0.00003695309],"domain_scores_gemma":[0.99975497,0.00004098996,0.00009323219,0.000021325488,0.00004052273,0.00004898983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020189541,0.00021847837,0.0002445173,0.0004452282,0.00034219067,0.00040916883,0.00018545249,0.00016593006,0.00046739887],"category_scores_gemma":[0.00030543888,0.00015024243,0.00019499098,0.00042623226,0.00020974847,0.00016874798,0.0003696675,0.0002899056,0.00014275424],"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":[0.0018183414,0.00023911803,0.21142447,0.000073904266,0.00011826956,0.00056294305,0.002297903,0.00031364846,0.7738738,0.00020859386,0.00007753489,0.008991521],"study_design_scores_gemma":[0.000006730437,0.0006385201,0.9846394,0.000004578541,0.000025228708,0.00021425798,0.000698656,0.00023552426,0.013089905,0.000030418048,0.00040611933,0.000010651154],"about_ca_topic_score_codex":0.0023103082,"about_ca_topic_score_gemma":0.0048050145,"teacher_disagreement_score":0.0023103082,"about_ca_system_score_codex":0.00038413383,"about_ca_system_score_gemma":0.00015445703,"threshold_uncertainty_score":0.0045937896},"labels":[],"label_agreement":null},{"id":"W2891481095","doi":"10.5539/jas.v10n10p333","title":"Environment Stratification in the Evaluation of Corn Hybrids in Southern Brazil","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Randomized block design; Hybrid; Stratification (seeds); Homogeneous; Grain yield; Cultivar; Mathematics; Statistics; Correlation coefficient; Gene–environment interaction; Biology; Biotechnology; Agronomy; Genotype; Combinatorics; Genetics","score_opus":0.05302017556530461,"score_gpt":0.2549242668828569,"score_spread":0.2019040913175523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891481095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940014,0.00003484048,0.0002481591,0.0000027044005,6.1484633e-7,0.000010913701,0.000035993464,0.0000037524758,0.00026291536],"genre_scores_gemma":[0.99857044,0.000033885237,0.0010850899,0.000006208799,7.7265366e-7,0.000019492252,0.00014910415,0.0000055685946,0.00012945932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991328,0.00027904427,0.000067224086,0.000254747,0.00018593678,0.0000802596],"domain_scores_gemma":[0.9994062,0.0001492866,0.00020610057,0.00007420915,0.000104073726,0.00006007704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087383506,0.00026580977,0.00031425725,0.00080937555,0.00037782482,0.00037296535,0.00019504639,0.00013523214,0.00038123957],"category_scores_gemma":[0.00118557,0.00014593826,0.00032362773,0.0007620753,0.00045440622,0.00018524306,0.0005446125,0.00013046304,0.00008106491],"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":[0.0012492018,0.00023957388,0.5230004,0.00015024899,0.00016276247,0.0006152188,0.0030782921,0.0015310831,0.4443159,0.0005777974,0.00005620384,0.02502332],"study_design_scores_gemma":[0.00001766909,0.0008957565,0.9766063,0.000007844313,0.00006406431,0.00018904201,0.0009561891,0.0008260513,0.019316582,0.00013089876,0.00096754986,0.000022020577],"about_ca_topic_score_codex":0.012660114,"about_ca_topic_score_gemma":0.03690421,"teacher_disagreement_score":0.012660114,"about_ca_system_score_codex":0.00070779445,"about_ca_system_score_gemma":0.00048246142,"threshold_uncertainty_score":0.02517283},"labels":[],"label_agreement":null},{"id":"W2892197103","doi":"10.1007/s10681-018-2255-7","title":"Genetic relationships and heterotic structure of quality protein maize (Zea mays L.) inbred lines adapted to eastern and southern Africa","year":2018,"lang":"en","type":"article","venue":"Euphytica","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Government of Canada","keywords":"Inbred strain; UPGMA; Biology; Inbreeding; Genetics; Population; Allele; Genetic distance; Zea mays; Genetic variation; Agronomy; Gene","score_opus":0.06621447263804138,"score_gpt":0.2281687000043051,"score_spread":0.1619542273662637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892197103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995596,0.00002937399,0.00011487852,0.000004495682,6.9556773e-7,0.0000027495028,0.00007197874,0.0000027278536,0.00021357716],"genre_scores_gemma":[0.99891686,0.000062310144,0.00018924318,0.000010830214,0.0000018269975,0.0000068638465,0.00028980823,0.000012463062,0.0005097887],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973875,0.000055389115,0.000020027825,0.00008586863,0.00004901979,0.000050959683],"domain_scores_gemma":[0.999398,0.00014502402,0.000223962,0.00004768012,0.00006138478,0.00012391237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023805755,0.0003438762,0.00020322013,0.0016748059,0.00030641188,0.00030283074,0.00033072985,0.00021397384,0.0011686794],"category_scores_gemma":[0.00032931686,0.00021025505,0.00016741392,0.0007671853,0.00034899596,0.00016009746,0.00042820946,0.00038192674,0.00022399653],"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":[0.00048416632,0.000096475014,0.019310204,0.000016178456,0.000052972344,0.00011170589,0.0004377076,0.00008097062,0.9766961,0.0003629059,0.00002507181,0.0023256578],"study_design_scores_gemma":[0.00006222071,0.00033873445,0.9708322,0.000011232197,0.00008115056,0.00052574853,0.00045381873,0.00052354805,0.026045607,0.0001954937,0.0009087674,0.000021516256],"about_ca_topic_score_codex":0.002125758,"about_ca_topic_score_gemma":0.0034179206,"teacher_disagreement_score":0.002125758,"about_ca_system_score_codex":0.00035045814,"about_ca_system_score_gemma":0.00016544678,"threshold_uncertainty_score":0.004226744},"labels":[],"label_agreement":null},{"id":"W2894880075","doi":"10.3389/fpls.2018.01302","title":"Screening Oat Genotypes for Tolerance to Salinity and Alkalinity","year":2018,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Chinese Academy of Agricultural Sciences; North Dakota State University","keywords":"Alkalinity; Salinity; Germination; Biplot; Agronomy; Chlorophyll; Alkali soil; Crop; Sowing; Biology; Environmental science; Horticulture; Chemistry; Soil water; Genotype; Ecology","score_opus":0.03274141859828403,"score_gpt":0.2329179463097036,"score_spread":0.20017652771141958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894880075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865752,0.00084014406,0.00963083,0.00006698138,0.00006152703,0.00020262906,0.0016022263,0.00023468603,0.00078587263],"genre_scores_gemma":[0.9553765,0.001273727,0.028052108,0.00022114918,0.00003924852,0.00038140285,0.0072834687,0.00029179838,0.0070805815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992817,0.00007429062,0.00014590814,0.00024076794,0.00019141291,0.00006590401],"domain_scores_gemma":[0.99926263,0.00014584955,0.00020662136,0.000085250096,0.00015999416,0.00013963685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061348506,0.0008267451,0.0008382685,0.0011720039,0.00042251454,0.0006046921,0.00045740898,0.00048458343,0.00135437],"category_scores_gemma":[0.0006097697,0.00024566348,0.00075233483,0.000723276,0.00022388293,0.00045984806,0.00043409428,0.00067054346,0.0004386038],"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":[0.00006411858,0.000019666099,0.0010567144,0.000030484154,0.000011079792,0.0000527481,0.000022641478,0.000024822115,0.9975877,0.000013486697,0.000007384239,0.0011092412],"study_design_scores_gemma":[0.00005428152,0.0019430855,0.20284969,0.000028960389,0.0002609131,0.00060026353,0.00029746446,0.0011112441,0.7875864,0.00010628436,0.0051011625,0.000060330665],"about_ca_topic_score_codex":0.0022800765,"about_ca_topic_score_gemma":0.0043198923,"teacher_disagreement_score":0.0022800765,"about_ca_system_score_codex":0.0004575889,"about_ca_system_score_gemma":0.00032070954,"threshold_uncertainty_score":0.004533589},"labels":[],"label_agreement":null},{"id":"W2895436720","doi":"10.5539/jas.v10n11p572","title":"Artificial Neural Network and Multivariate Models Applied to Morphological Traits and Seeds of Common Beans Genotypes","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Biology; Multivariate statistics; Cultivar; Genotype; Selection (genetic algorithm); Biotechnology; Statistics; Artificial intelligence; Mathematics; Agronomy; Computer science; Genetics","score_opus":0.040665671928602994,"score_gpt":0.22789975555198702,"score_spread":0.18723408362338403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895436720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65567595,0.0005394628,0.3408261,0.00033990442,0.00007054643,0.000055689696,0.00036497353,0.00028019169,0.0018470674],"genre_scores_gemma":[0.9814401,0.000097522054,0.01678171,0.000017578854,0.000013939186,0.000045570476,0.00023455669,0.000013061913,0.0013560491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996326,0.00016978443,0.000023551029,0.00008911865,0.000040689076,0.000044226246],"domain_scores_gemma":[0.99933076,0.00038278347,0.00009538562,0.000044651755,0.00011707539,0.00002926748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010001961,0.0005367612,0.00036213253,0.00059999287,0.00020336897,0.0006621283,0.00044143279,0.00043413215,0.0009769966],"category_scores_gemma":[0.0020780405,0.00023230445,0.00069331,0.00042706926,0.00023346239,0.000401398,0.00039469977,0.0005942052,0.0001524373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028349605,0.00017989558,0.019138744,0.000055584944,0.00019229924,0.000052537955,0.00005619716,0.91551673,0.0023356571,0.0016976265,0.0005031232,0.059988104],"study_design_scores_gemma":[0.000001612788,0.00001721308,0.0020851588,0.0000022079964,0.0000051371053,0.0000045400475,0.0000052006744,0.99735343,0.00014319872,0.0003318847,0.000047766855,0.0000026455912],"about_ca_topic_score_codex":0.00827802,"about_ca_topic_score_gemma":0.006332476,"teacher_disagreement_score":0.00827802,"about_ca_system_score_codex":0.0006288829,"about_ca_system_score_gemma":0.00049385446,"threshold_uncertainty_score":0.016459644},"labels":[],"label_agreement":null},{"id":"W2895784698","doi":"10.1101/439505","title":"Crop Information Engine and Research Assistant (CIERA) for managing genealogy, phenotypic and genotypic data for breeding programs","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Phenomics; Germplasm; Computer science; Data management; Database; Data science; World Wide Web; Biology; Genomics; Genetics","score_opus":0.08288805094533813,"score_gpt":0.26650947503579414,"score_spread":0.183621424090456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895784698","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017400803,0.0006870357,0.49264586,0.001409584,0.00042971972,0.0013563635,0.034525264,0.41590628,0.03563912],"genre_scores_gemma":[0.10257596,0.000799006,0.777296,0.000957558,0.00044278297,0.0013001759,0.069881864,0.02052876,0.026217835],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811256,0.00032062858,0.00024053235,0.00054980454,0.00059357146,0.0001827887],"domain_scores_gemma":[0.9907494,0.0027487946,0.00058522535,0.0029104636,0.0021078,0.00089827104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006472817,0.0011893326,0.0011749408,0.0033677951,0.000686953,0.0029405304,0.00222778,0.00074116926,0.0271075],"category_scores_gemma":[0.012548376,0.00079447444,0.00068490853,0.0025701139,0.0003899539,0.0036275734,0.0020820135,0.001505813,0.023355957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015966382,0.0004711073,0.0110657215,0.0006862492,0.00015281107,0.00065491063,0.0005115731,0.0031736365,0.038715146,0.015343506,0.41613033,0.51149833],"study_design_scores_gemma":[0.0007107796,0.00021605266,0.016167263,0.00016469558,0.00019329488,0.0014709525,0.00017677314,0.09988073,0.089672536,0.009442725,0.78157073,0.00033355644],"about_ca_topic_score_codex":0.002585858,"about_ca_topic_score_gemma":0.0015969662,"teacher_disagreement_score":0.0271075,"about_ca_system_score_codex":0.0011407133,"about_ca_system_score_gemma":0.0025311788,"threshold_uncertainty_score":0.09068364},"labels":[],"label_agreement":null},{"id":"W2897598756","doi":"10.5539/jas.v10n11p79","title":"Morpho-physiological Characteristics and Molecular Markers of Maize Crosses Under Multi-location Evaluation","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; European Commission","keywords":"Principal component analysis; Biology; Cluster (spacecraft); Genotype; Inbred strain; Molecular marker; Fixation (population genetics); Genetics; Gene; Mathematics; Statistics; Computer science","score_opus":0.050997357788590346,"score_gpt":0.2682485326013621,"score_spread":0.21725117481277176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897598756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99893445,0.000050125822,0.0006850617,0.0000040819896,0.0000020123928,0.000011540765,0.00014963721,0.0000116067795,0.0001514749],"genre_scores_gemma":[0.9964616,0.00007378693,0.0021034288,0.00001346514,0.000003565876,0.000024547571,0.0006497846,0.000024170797,0.0006456592],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999589,0.000059853937,0.000055921148,0.00012475178,0.00011527074,0.000055314522],"domain_scores_gemma":[0.99934,0.00011312594,0.00024101883,0.00007647749,0.00008252235,0.00014677372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040884173,0.00030050718,0.00024010589,0.000911151,0.00023347599,0.00028492132,0.00023572438,0.00024291234,0.0006048336],"category_scores_gemma":[0.00045910827,0.0001628991,0.00034913924,0.0005140645,0.0002108332,0.00015889296,0.00034702642,0.00038146295,0.00014477524],"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":[0.00015994445,0.000026953894,0.00464157,0.000011138095,0.000012200497,0.000096477845,0.00009604866,0.00006718296,0.99372804,0.0000383915,0.0000063808566,0.0011156108],"study_design_scores_gemma":[0.000021090573,0.0012043061,0.7355994,0.0000086875825,0.00010378432,0.0008828298,0.0003088497,0.0010981307,0.2593059,0.0000797268,0.0013404654,0.00004688828],"about_ca_topic_score_codex":0.0010413259,"about_ca_topic_score_gemma":0.001263823,"teacher_disagreement_score":0.0010413259,"about_ca_system_score_codex":0.0002910022,"about_ca_system_score_gemma":0.00012864119,"threshold_uncertainty_score":0.002162218},"labels":[],"label_agreement":null},{"id":"W2901254282","doi":"10.1111/pbr.12657","title":"Genetic variation in an orchardgrass population promises successful direct or indirect selection of superior drought tolerant genotypes","year":2018,"lang":"en","type":"article","venue":"Plant Breeding","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Isfahan University of Technology","keywords":"Biology; Forage; Heritability; Drought tolerance; Agronomy; Chlorophyll; Population; Carotenoid; Selection (genetic algorithm); Genetic gain; Chlorophyll b; Genetic variation; Horticulture; Botany; Demography","score_opus":0.035635685168818605,"score_gpt":0.22734907973954055,"score_spread":0.19171339457072195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901254282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899155,0.000019057921,0.0006164558,0.0000055009486,0.0000017285353,0.000009422764,0.00006473155,0.000011496516,0.00027999346],"genre_scores_gemma":[0.99420327,0.000047012658,0.0034578224,0.000022549413,0.000004327758,0.000023235207,0.00076959265,0.000022140151,0.0014499775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998549,0.000022901562,0.000010269247,0.000055116107,0.000028732722,0.000028018081],"domain_scores_gemma":[0.999874,0.000027697999,0.000021686239,0.000013717194,0.000016632952,0.00004614592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003871121,0.00023846826,0.00018476608,0.00027168484,0.00028419343,0.0002434491,0.00018428627,0.00013052886,0.0015818698],"category_scores_gemma":[0.00018929297,0.000097809556,0.00015824885,0.00016673813,0.00011366126,0.00010253248,0.00026566305,0.0002832977,0.00015344413],"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":[0.00026607155,0.00017046533,0.028847557,0.000012290804,0.000056463825,0.0001712958,0.00013444148,0.00019652086,0.9590442,0.00036638646,0.00007794125,0.0106563745],"study_design_scores_gemma":[0.00015114882,0.0009956538,0.9339929,0.00001231152,0.00016559544,0.00092240114,0.00018475694,0.0024581794,0.056385867,0.00018403927,0.0045171054,0.000030043242],"about_ca_topic_score_codex":0.003417885,"about_ca_topic_score_gemma":0.011845544,"teacher_disagreement_score":0.003417885,"about_ca_system_score_codex":0.00031139504,"about_ca_system_score_gemma":0.0004046124,"threshold_uncertainty_score":0.006795943},"labels":[],"label_agreement":null},{"id":"W2901570049","doi":"10.2135/cropsci2018.06.0363","title":"Influence of Genotype and Environment on Wheat Grain Fructan Content","year":2018,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hatch; National Institute of Food and Agriculture","keywords":"Fructan; Biology; Genotype; Agronomy; Cultivar; Poaceae; Gene–environment interaction; Plant breeding; Food science; Gene; Fructose; Genetics","score_opus":0.03921252505108707,"score_gpt":0.205313745906334,"score_spread":0.16610122085524692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901570049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992637,0.00007353737,0.00030208947,0.000007771678,0.0000035532364,0.0000025145855,0.00015426897,0.0000066926823,0.00018577641],"genre_scores_gemma":[0.9991667,0.00004838192,0.0003560466,0.000015012868,0.0000014094632,0.0000040917835,0.00016089377,0.000019582694,0.00022790546],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993699,0.00025876056,0.000046462952,0.00019011913,0.00007155836,0.000063119805],"domain_scores_gemma":[0.9993892,0.00026541407,0.0001189285,0.00008761547,0.00004210003,0.000096786076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038118998,0.0003441753,0.00043050642,0.00033822795,0.000240129,0.00055862824,0.00016515533,0.00023837869,0.00086698786],"category_scores_gemma":[0.00049822737,0.00019336725,0.00035170506,0.00039085528,0.0003071785,0.00017713555,0.00035275292,0.00026962024,0.0001467879],"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":[0.002787345,0.0002274247,0.24257623,0.00005971275,0.0005101789,0.0006414071,0.00040751963,0.00078256946,0.74202263,0.00016887636,0.00013134356,0.009684769],"study_design_scores_gemma":[0.000011225214,0.0002872182,0.99012357,0.0000034301174,0.000109055756,0.00021526321,0.000112586895,0.000776993,0.007949218,0.00007254904,0.00032105463,0.000017875644],"about_ca_topic_score_codex":0.001826927,"about_ca_topic_score_gemma":0.0043364833,"teacher_disagreement_score":0.001826927,"about_ca_system_score_codex":0.0002010197,"about_ca_system_score_gemma":0.00020572593,"threshold_uncertainty_score":0.003632605},"labels":[],"label_agreement":null},{"id":"W2906642400","doi":"10.15835/nsb10410288","title":"Canopy Temperature and Chlorophyll Content are Effective Measures of Drought Stress Tolerance in Durum Wheat","year":2018,"lang":"en","type":"article","venue":"Notulae Scientia Biologicae","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Canopy; Cultivar; Drought tolerance; Biology; Inflorescence; Chlorophyll; Agronomy; Drought stress; Heat stress; Productivity; Yield (engineering); Horticulture; Genotype; Animal science; Botany; Gene","score_opus":0.03598998795123212,"score_gpt":0.2071348909099261,"score_spread":0.17114490295869397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906642400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982773,0.00046945122,0.00064734946,0.000010515203,0.0000042938577,0.000005260809,0.00023733296,0.000011215472,0.00033722844],"genre_scores_gemma":[0.9988349,0.00016024384,0.0004959642,0.000013818857,0.0000027803944,0.000006816279,0.00030852482,0.000002716826,0.00017434977],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99991024,0.000014164115,0.000011491494,0.000031436688,0.000021637814,0.000011071187],"domain_scores_gemma":[0.9998778,0.00001157673,0.00006899718,0.000008449443,0.000016025999,0.000017125802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015072011,0.00024934876,0.00020958413,0.00042106604,0.00013731208,0.00026515342,0.00008431101,0.00016218214,0.00027695947],"category_scores_gemma":[0.00015861534,0.00011913554,0.00013368184,0.00038905253,0.0000928407,0.00015488561,0.00013389756,0.00020321236,0.00007595073],"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":[0.0004005251,0.00011709903,0.35035402,0.00015565933,0.00011529919,0.00015740712,0.00038412178,0.00034163785,0.6235172,0.000057848774,0.0001678717,0.024231385],"study_design_scores_gemma":[0.0000027275828,0.0001208284,0.994447,0.000002904455,0.0000133271515,0.00009153291,0.00006708823,0.00017327904,0.0047929734,0.00002689077,0.00025689258,0.0000045325755],"about_ca_topic_score_codex":0.0015463798,"about_ca_topic_score_gemma":0.0023976944,"teacher_disagreement_score":0.0015463798,"about_ca_system_score_codex":0.00019109447,"about_ca_system_score_gemma":0.00006835387,"threshold_uncertainty_score":0.0030747652},"labels":[],"label_agreement":null},{"id":"W2910648014","doi":"10.1017/s1742170518000583","title":"Adaptability analysis in a participatory variety trial of organic vegetable crops","year":2019,"lang":"en","type":"article","venue":"Renewable Agriculture and Food Systems","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Arcadia Fund; Washington State University","keywords":"Adaptability; Agriculture; Variety (cybernetics); Adaptation (eye); Organic farming; Cucurbita moschata; Agronomy; Biology; Statistics; Mathematics; Ecology","score_opus":0.02937795731919303,"score_gpt":0.19916396743045386,"score_spread":0.16978601011126082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910648014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983569,0.000009362799,0.0011544519,0.000007467686,0.000003553555,0.00013016816,0.000053443633,0.000010310891,0.00027434487],"genre_scores_gemma":[0.99301237,0.000017197313,0.005679638,0.000020897925,0.0000046098367,0.0004104299,0.0001675602,0.000012043112,0.00067525404],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997874,0.0011085848,0.00010364496,0.00049236335,0.00027702336,0.00014431939],"domain_scores_gemma":[0.9958656,0.0016691642,0.0010112515,0.00041732384,0.0004989257,0.0005376883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003848007,0.00041784858,0.00047531733,0.0002769357,0.0006106421,0.0006311319,0.0005385628,0.0002695403,0.00081402797],"category_scores_gemma":[0.004446589,0.00017868433,0.0003577203,0.00042994373,0.00044733888,0.00045546045,0.0008546444,0.000505525,0.00014866742],"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":[0.018615497,0.008327023,0.25200135,0.00035694803,0.00046489248,0.00091545994,0.008108731,0.0063512344,0.64252806,0.00059438316,0.00041824885,0.061318196],"study_design_scores_gemma":[0.0003246776,0.0671086,0.85215837,0.000036545563,0.00018681418,0.00018466239,0.0045703226,0.007177637,0.062946744,0.00079326663,0.0043865596,0.00012577398],"about_ca_topic_score_codex":0.0024390833,"about_ca_topic_score_gemma":0.007775841,"teacher_disagreement_score":0.003848007,"about_ca_system_score_codex":0.00083475414,"about_ca_system_score_gemma":0.0005121698,"threshold_uncertainty_score":0.020350397},"labels":[],"label_agreement":null},{"id":"W2911660629","doi":"10.17951/c.2017.72.1.37-45","title":"Assessment of genotype × trait interaction of rye genotypes for some morphologic traits through GGE biplot methodology","year":2018,"lang":"en","type":"article","venue":"Annales Universitatis Mariae Curie-Sklodowska sectio C – Biologia","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Agriculture and Agri-Food Canada","keywords":"Biplot; Cultivar; Trait; Biology; Genotype; Randomized block design; Selection (genetic algorithm); Principal component analysis; Agronomy; Biotechnology; Quantitative trait locus; Yield (engineering); Gene–environment interaction; Horticulture; Mathematics; Statistics; Genetics; Computer science; Gene","score_opus":0.11428821304474457,"score_gpt":0.3078629406877862,"score_spread":0.19357472764304162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911660629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6174957,0.0003259926,0.35611728,0.00013277456,0.00015781751,0.00065888814,0.015377991,0.006242105,0.0034914666],"genre_scores_gemma":[0.60614306,0.0001318032,0.37065354,0.0001064696,0.000025427074,0.0027735478,0.013412056,0.0017022599,0.005051815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970457,0.0012089087,0.00021851558,0.0009020046,0.0004219951,0.0002029855],"domain_scores_gemma":[0.9975776,0.0012337548,0.00034653602,0.00039555354,0.0003410075,0.00010546409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024358795,0.00096995436,0.0010890436,0.001965462,0.00035844825,0.00085274415,0.0006364259,0.00025093474,0.008406357],"category_scores_gemma":[0.0027413524,0.00027418503,0.00111488,0.0017616289,0.00034157612,0.00039343754,0.00054515735,0.00096751994,0.0011582721],"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":[0.0045706504,0.001918681,0.07984216,0.0013103335,0.001356668,0.00082188664,0.001903392,0.006108506,0.56383336,0.0038709992,0.008865176,0.32559815],"study_design_scores_gemma":[0.00013962954,0.0036886127,0.83297384,0.000089870395,0.00035800016,0.00059226673,0.0006169375,0.061322533,0.07351668,0.001950744,0.024536716,0.00021421022],"about_ca_topic_score_codex":0.0020536145,"about_ca_topic_score_gemma":0.0019050564,"teacher_disagreement_score":0.008406357,"about_ca_system_score_codex":0.00037632044,"about_ca_system_score_gemma":0.00059379253,"threshold_uncertainty_score":0.028122127},"labels":[],"label_agreement":null},{"id":"W2912821617","doi":"10.11606/t.11.2020.tde-20200111-124427","title":"Estimativas dos efeitos da seleção recorrente intra e interpopulacional em linhagens de milho (&gt;i&lt;Zea mays&gt;/i&lt; L.)&gt;/b&lt;&gt;/p&lt;","year":2020,"lang":"pt","type":"dissertation","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Zea mays; Horticulture; Biology; Agronomy","score_opus":0.035944112529514516,"score_gpt":0.2502247577722375,"score_spread":0.214280645242723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912821617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99895155,0.00010131355,0.0005587784,0.0000071817913,0.0000017679424,0.000015267406,0.00009784394,0.000010594218,0.00025573227],"genre_scores_gemma":[0.9952093,0.00020649155,0.001927517,0.000021649963,0.0000027187543,0.000059169677,0.00046661127,0.0000149116095,0.0020917684],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995283,0.00011941128,0.000020643785,0.00018824519,0.00009365282,0.000049849667],"domain_scores_gemma":[0.99828666,0.0009908578,0.00025332428,0.00011480437,0.00016922175,0.00018506755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008649127,0.00034426243,0.00032370456,0.00048713683,0.00019730387,0.00045811897,0.0003044806,0.0003352146,0.0010101359],"category_scores_gemma":[0.00080885977,0.0002130563,0.00046731488,0.0003348406,0.00019534232,0.00023349066,0.00032031047,0.00035847953,0.00026498435],"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":[0.0028416566,0.00057614216,0.18410455,0.00012913774,0.00019723442,0.00009859629,0.00030237754,0.0026406343,0.7827345,0.00008925409,0.00005453226,0.026231287],"study_design_scores_gemma":[0.00004654848,0.012406602,0.8659459,0.000014292908,0.00032362086,0.00011455933,0.00047640532,0.0030437426,0.1159792,0.00007662787,0.0015411902,0.000031309697],"about_ca_topic_score_codex":0.0041887546,"about_ca_topic_score_gemma":0.008561268,"teacher_disagreement_score":0.0041887546,"about_ca_system_score_codex":0.00052955694,"about_ca_system_score_gemma":0.00028048173,"threshold_uncertainty_score":0.008328736},"labels":[],"label_agreement":null},{"id":"W2914186786","doi":"10.5539/jps.v8n1p35","title":"GGE-Biplot Analysis of Multi-Environment Yield Trials of Common Bean (Phaseolus vulgaris L.) in the southern Ethiopia","year":2019,"lang":"en","type":"article","venue":"Journal of Plant Studies","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Phaseolus; Biplot; Genotype; Biology; Principal component analysis; Ammi; Gene–environment interaction; Agronomy; Veterinary medicine; Biotechnology; Statistics; Mathematics; Genetics; Medicine","score_opus":0.16074869270631334,"score_gpt":0.2958582504727675,"score_spread":0.13510955776645414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914186786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846895,0.0001364602,0.012252524,0.000021992939,0.000018715162,0.000056001874,0.0017424638,0.00032298514,0.0007595282],"genre_scores_gemma":[0.9764763,0.00005784442,0.019688614,0.000019747107,0.000004476706,0.00017597938,0.002747669,0.000108681634,0.0007208379],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99890006,0.0005810248,0.000059990118,0.00022490406,0.00016054096,0.000073521616],"domain_scores_gemma":[0.99905235,0.00045108845,0.00015138878,0.00010251002,0.00016466403,0.00007797904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014274184,0.0004346788,0.0005713636,0.0011336651,0.00020899465,0.00061095384,0.00021498406,0.00014091023,0.0011167773],"category_scores_gemma":[0.0016652659,0.00011434873,0.00058988505,0.0011710558,0.00016673336,0.00022923706,0.00029569567,0.0003313579,0.00023729452],"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":[0.007802627,0.0016613344,0.32118535,0.0008018338,0.0013014377,0.00096366013,0.0016235153,0.0146919405,0.42988512,0.0012603968,0.0029046894,0.21591808],"study_design_scores_gemma":[0.000039550723,0.0012944934,0.9661855,0.000017901342,0.00008214482,0.0001868446,0.00046635867,0.016535813,0.012181725,0.00021887974,0.0027534154,0.000037343983],"about_ca_topic_score_codex":0.0017658276,"about_ca_topic_score_gemma":0.0024434878,"teacher_disagreement_score":0.0017658276,"about_ca_system_score_codex":0.00025809326,"about_ca_system_score_gemma":0.00021663347,"threshold_uncertainty_score":0.007548988},"labels":[],"label_agreement":null},{"id":"W2919729475","doi":"10.1139/cjps-2018-0290","title":"CO466 corn inbred line","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Stalk; Eyespot; Inbred strain; Biology; Zea mays; Rust (programming language); Agronomy; Leaf spot; Line (geometry); Horticulture; Botany; Mathematics; Gene; Computer science","score_opus":0.025483241907619202,"score_gpt":0.17641609955078438,"score_spread":0.1509328576431652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919729475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6010123,0.004011931,0.038680438,0.00082716806,0.0011862412,0.002286796,0.14320631,0.0046070656,0.20418179],"genre_scores_gemma":[0.51080894,0.0026157277,0.034848135,0.0010994434,0.00013579997,0.0015092685,0.14298974,0.0017319832,0.30426085],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994824,0.00004587354,0.000034675446,0.00011780036,0.00023104037,0.000088248],"domain_scores_gemma":[0.9996345,0.000024480649,0.000062148196,0.00005358899,0.000104391765,0.00012077456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030083454,0.0012530026,0.00035742816,0.0017304989,0.0010726394,0.00053954084,0.00087902986,0.00052671804,0.036099818],"category_scores_gemma":[0.0002744217,0.00038558673,0.00028657608,0.0012007287,0.00025502927,0.00040725135,0.0007167954,0.0009683721,0.018209608],"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":[0.0025570523,0.0007482211,0.0039945617,0.00020860351,0.00006634159,0.0004905592,0.0001194603,0.00039485417,0.9226532,0.005539134,0.019501302,0.043726645],"study_design_scores_gemma":[0.0007516124,0.0009039779,0.042376675,0.00011855563,0.00015679325,0.0029672906,0.00020863433,0.0028999688,0.30090615,0.0014762834,0.6470932,0.00014088608],"about_ca_topic_score_codex":0.007072453,"about_ca_topic_score_gemma":0.012957676,"teacher_disagreement_score":0.036099818,"about_ca_system_score_codex":0.00054955465,"about_ca_system_score_gemma":0.00048102505,"threshold_uncertainty_score":0.120765924},"labels":[],"label_agreement":null},{"id":"W2943384073","doi":"10.5539/jas.v11n6p22","title":"Evaluating Winter Barley Cultivar Using Data Envelopment Analysis Models","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cultivar; Mathematics; Brewing; Yield (engineering); Ranking (information retrieval); Grain yield; Row; Grain quality; Agronomy; Statistics; Horticulture; Biology; Computer science; Food science; Database; Artificial intelligence","score_opus":0.17828625397110331,"score_gpt":0.31807387031668655,"score_spread":0.13978761634558323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943384073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52345484,0.0006311171,0.47218797,0.00025138384,0.000021970432,0.0001827887,0.00046130776,0.00033050514,0.002478211],"genre_scores_gemma":[0.94970804,0.000181278,0.04857612,0.000028721624,0.000005250608,0.00013768589,0.00046616045,0.000035702462,0.0008610971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986192,0.00087411696,0.000083350096,0.00015173311,0.0001565589,0.00011505615],"domain_scores_gemma":[0.9941573,0.0048366315,0.00034113962,0.00013964524,0.00043760063,0.00008761357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050433464,0.0011415036,0.0010495486,0.0012921903,0.00032112043,0.0017206897,0.00048278095,0.0007214583,0.00080381933],"category_scores_gemma":[0.0077123498,0.0004336075,0.0013174076,0.00081518735,0.00025148466,0.000916057,0.00065895956,0.00071416784,0.00017958961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012389528,0.00006849747,0.004040114,0.00004388799,0.00010820653,0.000025132213,0.00004271877,0.97899216,0.0007255943,0.0010063135,0.0001337266,0.014689756],"study_design_scores_gemma":[0.000003595616,0.00008005318,0.0007674127,0.0000054766497,0.000010925888,0.000004578667,0.000021349417,0.9980869,0.000310349,0.00058507256,0.000117375115,0.000006917353],"about_ca_topic_score_codex":0.01076988,"about_ca_topic_score_gemma":0.00539512,"teacher_disagreement_score":0.01076988,"about_ca_system_score_codex":0.0014719736,"about_ca_system_score_gemma":0.0014106259,"threshold_uncertainty_score":0.026672065},"labels":[],"label_agreement":null},{"id":"W2943659839","doi":"10.5539/jas.v11n6p363","title":"Genetic Divergence Among Safflower Genotypes (Carthamus tinctorius L.) by Multivariate Analyzes","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Mato Grosso; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Carthamus; Genetic divergence; Multivariate statistics; Germplasm; Adaptability; Biology; UPGMA; Divergence (linguistics); Cultivar; Biotechnology; Horticulture; Genotype; Genetic diversity; Mathematics; Statistics; Genetics; Ecology; Traditional medicine; Gene","score_opus":0.008594382015256608,"score_gpt":0.18701821793660106,"score_spread":0.17842383592134445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943659839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98959666,0.00007093253,0.009577267,0.000013860307,0.0000053926788,0.000016222184,0.0003881072,0.000036200265,0.00029539163],"genre_scores_gemma":[0.98859125,0.00003866677,0.0103027355,0.00000528533,0.0000048170364,0.000027714816,0.00074878836,0.000022419006,0.0002583799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901044,0.00029265287,0.00007386485,0.00034475664,0.00020570052,0.0000726566],"domain_scores_gemma":[0.9986004,0.0006880813,0.00031084285,0.00011014499,0.00017276197,0.00011782039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012801534,0.0003693614,0.00044460708,0.002961522,0.0004606601,0.00061682984,0.00028150028,0.00021639731,0.0010171119],"category_scores_gemma":[0.0020934478,0.000094694406,0.00071499153,0.0019515593,0.00034244065,0.0002708394,0.00044006607,0.00057411985,0.00011334683],"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":[0.0018022372,0.0008037211,0.56905144,0.0002731027,0.0010277685,0.0004999118,0.0029973746,0.008412192,0.26874503,0.0016544962,0.00040416158,0.14432853],"study_design_scores_gemma":[0.000010365824,0.00032656261,0.95846504,0.000017909375,0.00013597857,0.00026507786,0.000588609,0.030015217,0.0086426,0.0005946254,0.00088158,0.00005627092],"about_ca_topic_score_codex":0.0027255944,"about_ca_topic_score_gemma":0.0029698787,"teacher_disagreement_score":0.002961522,"about_ca_system_score_codex":0.00040043675,"about_ca_system_score_gemma":0.00022646913,"threshold_uncertainty_score":0.0067701936},"labels":[],"label_agreement":null},{"id":"W2944158416","doi":"10.1038/s41598-019-43683-9","title":"LG biplot: a graphical method for mega-environment investigation using existing crop variety trial data","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biplot; Variety (cybernetics); Mega-; Crop; Scope (computer science); Set (abstract data type); Data set; Cultivar; Computer science; Biotechnology; Biology; Agronomy; Genotype; Artificial intelligence","score_opus":0.18655522896551385,"score_gpt":0.3010198124806585,"score_spread":0.11446458351514466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944158416","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015842354,0.00025240544,0.7489173,0.00021002398,0.00035062616,0.0010807723,0.055901133,0.17456213,0.0028833211],"genre_scores_gemma":[0.053880543,0.00012626578,0.8872157,0.00014709854,0.00009010668,0.005101509,0.03074878,0.020585435,0.0021046603],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9935675,0.003050599,0.00066141406,0.001393057,0.0010384199,0.00028909315],"domain_scores_gemma":[0.9728602,0.019519191,0.0015588072,0.0036299203,0.001959016,0.0004728375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009467429,0.0024531842,0.0026628773,0.0069701523,0.0009979312,0.0026660934,0.0029034049,0.0008317132,0.04603011],"category_scores_gemma":[0.022509651,0.0012322317,0.0023130048,0.006260951,0.00067529816,0.002260757,0.0027079233,0.0034865607,0.009033284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047796764,0.0013579307,0.025004636,0.004688273,0.003136755,0.0010238924,0.0036751295,0.008533767,0.027156057,0.01092691,0.22263342,0.68708354],"study_design_scores_gemma":[0.002454047,0.0016686048,0.09494512,0.0009383074,0.001428749,0.0013126138,0.0017720177,0.26662567,0.04553992,0.028728317,0.5534038,0.001182699],"about_ca_topic_score_codex":0.0035670688,"about_ca_topic_score_gemma":0.003954113,"teacher_disagreement_score":0.04603011,"about_ca_system_score_codex":0.00079447404,"about_ca_system_score_gemma":0.0022543685,"threshold_uncertainty_score":0.15398604},"labels":[],"label_agreement":null},{"id":"W2946159753","doi":"10.2135/cropsci2018.12.0722","title":"Genotype × Environment Interaction of Quality Protein Maize Hybrids under Contrasting Management Conditions in Eastern and Southern Africa","year":2019,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Global Affairs Canada","keywords":"Ammi; Hybrid; Biplot; Biology; Agronomy; Gene–environment interaction; Grain quality; Yield gap; Yield (engineering); Grain yield; Biotechnology; Abiotic component; Agriculture; Genotype; Crop yield; Ecology; Genetics; Gene","score_opus":0.042211253480526525,"score_gpt":0.23796756120207704,"score_spread":0.1957563077215505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946159753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99978536,0.000018580171,0.00007328445,0.0000022333159,6.754048e-7,0.00000217016,0.00007156551,0.0000018975139,0.0000442328],"genre_scores_gemma":[0.9994254,0.000018255678,0.00026587592,0.0000060875395,6.520903e-7,0.0000067271835,0.00015015804,0.0000035828014,0.00012328701],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971086,0.000074018644,0.000025468378,0.00009896178,0.000047618785,0.000042913736],"domain_scores_gemma":[0.9997017,0.00009603295,0.000109680404,0.000023302026,0.000033069464,0.000036364516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034380815,0.00031402483,0.00027210946,0.0004976618,0.00025353173,0.0003023977,0.00015471246,0.00012960413,0.00045815672],"category_scores_gemma":[0.0003295694,0.000117838725,0.00028873523,0.00054965157,0.0002291398,0.0001546834,0.00028764637,0.0002470957,0.00004872857],"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":[0.001711925,0.0001662516,0.21566649,0.00008300377,0.00036428572,0.0005537196,0.0014547381,0.00053360924,0.7697268,0.00021274248,0.000071409806,0.009455028],"study_design_scores_gemma":[0.00000892356,0.00029452753,0.98948926,0.0000028681716,0.000054837936,0.00010798905,0.00040434612,0.0005083983,0.008744224,0.000028573808,0.00034455105,0.000011399614],"about_ca_topic_score_codex":0.0035579314,"about_ca_topic_score_gemma":0.0076854248,"teacher_disagreement_score":0.0035579314,"about_ca_system_score_codex":0.00044600808,"about_ca_system_score_gemma":0.0001741319,"threshold_uncertainty_score":0.0070744157},"labels":[],"label_agreement":null},{"id":"W2958222492","doi":"10.1002/aps3.11278","title":"<scp><i>i</i>PASTIC</scp>: An online toolkit to estimate plant abiotic stress indices","year":2019,"lang":"en","type":"article","venue":"Applications in Plant Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Organisation de Coopération et de Développement Économiques; U.S. Department of Agriculture","keywords":"Abiotic stress; Index (typography); Biology; Statistics; Plant breeding; Crop; Abiotic component; Yield (engineering); Biotechnology; Agricultural engineering; Mathematics; Agronomy; Computer science; Ecology; Engineering; Genetics","score_opus":0.0474701816385554,"score_gpt":0.26194045462045673,"score_spread":0.21447027298190133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958222492","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027317172,0.00024271406,0.14238289,0.00030460415,0.00018605842,0.00031795815,0.0641255,0.78369063,0.0060180454],"genre_scores_gemma":[0.050597817,0.0007415879,0.38615355,0.0016375633,0.00027913228,0.0042023193,0.26747197,0.268234,0.020682158],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885154,0.00015199135,0.00011061908,0.0003025336,0.00045999422,0.0001233546],"domain_scores_gemma":[0.99571806,0.0016439385,0.00044576745,0.00091557787,0.0008820743,0.00039465041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020118973,0.003010309,0.0014365441,0.0032397676,0.0007085729,0.0019351754,0.0039910707,0.0013275525,0.06049037],"category_scores_gemma":[0.0077930107,0.0014801057,0.0020334637,0.0019911248,0.00070221926,0.0023049968,0.0033948438,0.0021113448,0.052815583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001099,0.00024674062,0.0061423257,0.002132504,0.00034245895,0.0007104372,0.00040418594,0.005248509,0.015982913,0.003911737,0.81078136,0.15299784],"study_design_scores_gemma":[0.001016589,0.00034835647,0.028617753,0.001051054,0.00030412892,0.0014611238,0.00016863614,0.1543925,0.060054213,0.020414079,0.73129606,0.00087556674],"about_ca_topic_score_codex":0.004331835,"about_ca_topic_score_gemma":0.0047399756,"teacher_disagreement_score":0.06049037,"about_ca_system_score_codex":0.0007920393,"about_ca_system_score_gemma":0.001551355,"threshold_uncertainty_score":0.20236045},"labels":[],"label_agreement":null},{"id":"W2959034595","doi":"10.7287/peerj.7211v0.2/reviews/2","title":"Peer Review #2 of \"Transcription factors involved in abiotic stress responses in Maize (Zea mays L.) and their roles in enhanced productivity in the post genomics era (v0.2)\"","year":2019,"lang":"en","type":"peer-review","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Zea mays; Abiotic stress; Abiotic component; Productivity; Biology; Biotechnology; Agronomy; Genetics; Gene; Ecology","score_opus":0.055157971164385644,"score_gpt":0.25010382020269434,"score_spread":0.1949458490383087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959034595","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003909728,0.026726604,0.009249262,0.13436784,0.6628931,0.0034505944,0.016366964,0.0037935155,0.13924241],"genre_scores_gemma":[0.022995833,0.0514926,0.009755024,0.03018455,0.25167462,0.0022107621,0.02924179,0.004267008,0.5981778],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98958206,0.0014509744,0.001062998,0.000940313,0.0059364783,0.0010271606],"domain_scores_gemma":[0.88141894,0.005278327,0.0034667351,0.0031275798,0.09630016,0.010408333],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008698205,0.0011030693,0.0019782523,0.004615779,0.0040740944,0.00940303,0.0037044694,0.0038996818,0.2761713],"category_scores_gemma":[0.045200076,0.00085442583,0.0017724144,0.0025797922,0.0014027709,0.004971448,0.0041693533,0.0026312773,0.16573182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043478813,0.000014522164,0.00029815923,0.0015143595,0.000021206175,0.00011397593,0.0000555893,0.00003380935,0.0005695827,0.00041815455,0.9597271,0.037190046],"study_design_scores_gemma":[0.000022027392,0.000023683788,0.0010140252,0.00052588875,0.000024831004,0.00020511051,0.00008910237,0.00011115226,0.0003465415,0.0004552887,0.997163,0.000019373847],"about_ca_topic_score_codex":0.003386882,"about_ca_topic_score_gemma":0.008079658,"teacher_disagreement_score":0.9913018,"about_ca_system_score_codex":0.002525147,"about_ca_system_score_gemma":0.013060031,"threshold_uncertainty_score":0.92388505},"labels":[],"label_agreement":null},{"id":"W2965319029","doi":"10.1534/g3.119.400347","title":"Genome-Wide Association and Gene Co-expression Network Analyses Reveal Complex Genetics of Resistance to Goss’s Wilt of Maize","year":2019,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"DuPont Pioneer; University of Minnesota","keywords":"Genetics; Biology; Gene; Resistance (ecology); Genome-wide association study; Genome; Computational biology; Genotype; Single-nucleotide polymorphism; Ecology","score_opus":0.05009957203279174,"score_gpt":0.2591980398080805,"score_spread":0.20909846777528873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965319029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974842,0.00017846786,0.0012738606,0.000024344477,0.0000020534787,0.0000066693815,0.0008601036,0.000017551147,0.00015281406],"genre_scores_gemma":[0.99649674,0.00009978736,0.0016588165,0.00002206,0.000003389893,0.000015933714,0.0014521938,0.0000073445904,0.00024367515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997135,0.000039932605,0.000012316371,0.00014978705,0.000038901242,0.000045636487],"domain_scores_gemma":[0.99970347,0.00010241095,0.00010961147,0.000018818346,0.000025064834,0.000040591924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039298023,0.0002124842,0.00035656692,0.0009946196,0.00025894606,0.00032598327,0.00017896344,0.00017635777,0.00073118205],"category_scores_gemma":[0.00031401648,0.00013281834,0.0005641214,0.0012960378,0.00019044729,0.00014357672,0.0003517909,0.00036474946,0.00008526206],"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":[0.0011152664,0.00015499016,0.34367922,0.00015434469,0.0010862126,0.00030761087,0.0003368325,0.003953382,0.63373524,0.0004430169,0.00047462803,0.014559251],"study_design_scores_gemma":[0.000018653038,0.00006104959,0.9870386,0.0000033498916,0.00015380983,0.000097679585,0.00008978982,0.008412404,0.0035299975,0.00015675116,0.00042818525,0.000009842612],"about_ca_topic_score_codex":0.0041375817,"about_ca_topic_score_gemma":0.006513754,"teacher_disagreement_score":0.0041375817,"about_ca_system_score_codex":0.00028968375,"about_ca_system_score_gemma":0.00018086126,"threshold_uncertainty_score":0.008226991},"labels":[],"label_agreement":null},{"id":"W2966647898","doi":"10.5539/jas.v11n14p23","title":"Adaptability and Stability in Maize Populations","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptability; Latosol; Population; Agronomy; Crop; Stability (learning theory); Environmental science; Biology; Ecology; Computer science; Soil water","score_opus":0.04767874168213777,"score_gpt":0.22610907686668846,"score_spread":0.1784303351845507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966647898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99768496,0.00006607557,0.0018863721,0.000005832998,0.0000013309309,0.000009519562,0.000120682795,0.000008989675,0.00021630518],"genre_scores_gemma":[0.99778855,0.000029160397,0.001757499,0.000004074819,0.0000019983638,0.000021480706,0.00022565461,0.0000052120713,0.00016628974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921334,0.00019233355,0.0000705977,0.00032550754,0.0001385575,0.000059629903],"domain_scores_gemma":[0.9990626,0.0003126806,0.0002769872,0.00011568412,0.00016494295,0.000067081804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008947375,0.00023310674,0.00025419056,0.0010294596,0.0003134637,0.00051234727,0.00018868336,0.0001931638,0.0003888167],"category_scores_gemma":[0.0019205578,0.00012636572,0.00043446504,0.00055656343,0.00026899783,0.000297626,0.00045737738,0.0002196608,0.00007303715],"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":[0.0012961852,0.00012503442,0.69494796,0.000079873964,0.0003960983,0.0002728116,0.0017041633,0.00601433,0.25394872,0.00061940437,0.00010225647,0.04049316],"study_design_scores_gemma":[0.0000140138245,0.00056138413,0.9721923,0.000009303766,0.00011568388,0.00035557782,0.00045799918,0.0105813285,0.014494554,0.0005868881,0.0005916852,0.000039335144],"about_ca_topic_score_codex":0.001747488,"about_ca_topic_score_gemma":0.0023610608,"teacher_disagreement_score":0.001747488,"about_ca_system_score_codex":0.00042146095,"about_ca_system_score_gemma":0.00018096993,"threshold_uncertainty_score":0.0047318935},"labels":[],"label_agreement":null},{"id":"W2972528065","doi":"10.5897/ajfs2016.1471","title":"Evaluation of dry matter, starch and beta-carotene content in orange-fleshed sweet potato (Ipomoea batatas L.) genotypes tested in three agro-ecological zones of Malawi","year":2016,"lang":"en","type":"article","venue":"African Journal of Food Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Dry matter; Ipomoea; beta-Carotene; Starch; Orange (colour); Carotene; Altitude (triangle); Biology; Horticulture; Animal science; Botany; Food science; Veterinary medicine; Chemistry; Mathematics; Carotenoid","score_opus":0.11071601645087632,"score_gpt":0.2569600733697911,"score_spread":0.1462440569189148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972528065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994698,0.00007879522,0.00007605848,0.0000055720047,9.682692e-7,0.0000048633087,0.00022615258,0.0000027070662,0.00013508929],"genre_scores_gemma":[0.99724066,0.00012224856,0.00060450344,0.000026273323,7.918798e-7,0.000016059703,0.00085443456,0.0000050087833,0.0011299088],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998882,0.000019612238,0.000013685962,0.000038479036,0.000022010294,0.000018008912],"domain_scores_gemma":[0.99971944,0.000052251395,0.000105434316,0.00001643232,0.00005505905,0.000051378604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001615344,0.00024605566,0.00021367517,0.0004145518,0.00030986368,0.0004471807,0.00014214138,0.00018244244,0.0005034344],"category_scores_gemma":[0.00017086008,0.00018769054,0.00022907386,0.00045382592,0.00019861928,0.00014198099,0.00022338079,0.00027720147,0.00013715362],"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":[0.0004699231,0.00012935222,0.08321164,0.00008086222,0.000052549396,0.00022326283,0.0006320465,0.000113410504,0.912013,0.00003475261,0.00004256586,0.0029966827],"study_design_scores_gemma":[0.0000056658723,0.00062497414,0.96573937,0.000009065408,0.00003449865,0.0001433999,0.00045079942,0.00021530363,0.03213647,0.000010883876,0.0006226477,0.0000069180865],"about_ca_topic_score_codex":0.0070075304,"about_ca_topic_score_gemma":0.016928898,"teacher_disagreement_score":0.0070075304,"about_ca_system_score_codex":0.00031714758,"about_ca_system_score_gemma":0.00014580834,"threshold_uncertainty_score":0.01393348},"labels":[],"label_agreement":null},{"id":"W2975605529","doi":"10.5539/jas.v11n17p135","title":"Genetic Variation and Path Coefficient Analysis of Introgressed Maize Inbred Lines for Economic Traits","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inbred strain; Germplasm; Biology; Path coefficient; Introgression; Agronomy; Path analysis (statistics); Heritability; Genetic correlation; Genetic variation; Mathematics; Statistics; Genetics; Gene","score_opus":0.012014412197329977,"score_gpt":0.20226334737778665,"score_spread":0.19024893518045666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975605529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981723,0.000020153546,0.0014310521,0.0000031974814,0.0000014147541,0.0000078880585,0.00021855251,0.000017418868,0.00012808376],"genre_scores_gemma":[0.9924932,0.000059526443,0.0052560745,0.000007782454,0.0000023851621,0.000032254793,0.0016494694,0.000034080334,0.00046518145],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996567,0.00008930083,0.00002961089,0.000099694116,0.00008694622,0.000037828366],"domain_scores_gemma":[0.99922276,0.00027722694,0.00023924722,0.00009060187,0.00009278583,0.00007730603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006295237,0.00041461087,0.00017211898,0.0010291478,0.00012692377,0.00019134243,0.00020072091,0.000107179265,0.0008266577],"category_scores_gemma":[0.0007958099,0.00012926459,0.0004379646,0.000667021,0.00014146706,0.00008886364,0.0002559254,0.00035421256,0.000128232],"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":[0.00052182167,0.00015726806,0.11300851,0.000051666208,0.00032422406,0.0003033926,0.00036626667,0.0014755769,0.8656558,0.0006463986,0.000084654595,0.017404353],"study_design_scores_gemma":[0.00003052651,0.00049189175,0.96630067,0.000007652976,0.000107952925,0.00046524408,0.00007683005,0.004710046,0.026719023,0.00016674343,0.0008896787,0.000033749027],"about_ca_topic_score_codex":0.00091229595,"about_ca_topic_score_gemma":0.0016172704,"teacher_disagreement_score":0.0010291478,"about_ca_system_score_codex":0.00023439893,"about_ca_system_score_gemma":0.00015580011,"threshold_uncertainty_score":0.0033293366},"labels":[],"label_agreement":null},{"id":"W2991810836","doi":"10.5539/jas.v12n1p118","title":"Correlations Between Stability Statistics of Forage Production in Elephant Grass","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Pennisetum purpureum; Forage; Randomized block design; Tukey's range test; Biology; Dry matter; Mathematics; Statistics; Agronomy; Animal science","score_opus":0.02940290335843611,"score_gpt":0.22371042650158302,"score_spread":0.1943075231431469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991810836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994423,0.00004749403,0.0002764669,0.0000028304064,9.27203e-7,0.0000021060025,0.00008266794,0.0000027135204,0.00014252267],"genre_scores_gemma":[0.99955887,0.000011198503,0.0002263268,0.0000010595256,0.0000011692757,0.0000030419053,0.00013244299,0.0000020265659,0.00006385314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992551,0.00023576908,0.000069869224,0.00017965399,0.00020777795,0.000051735955],"domain_scores_gemma":[0.9962184,0.0021033466,0.0008698891,0.00025873198,0.00039233026,0.00015725983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010308273,0.00014011757,0.0001808428,0.0011644568,0.00018735584,0.00029083912,0.00011835437,0.00015365233,0.0005114524],"category_scores_gemma":[0.0038366416,0.000092277674,0.00022837795,0.0007134624,0.00030680155,0.00021496869,0.00021012757,0.00013534515,0.000098602846],"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":[0.00025946173,0.000014579941,0.9848866,0.000014284828,0.00013569905,0.000057855428,0.00027048332,0.0003639671,0.008759319,0.00006958561,0.000047892125,0.005120228],"study_design_scores_gemma":[0.0000023375064,0.00009343059,0.99805367,0.0000016612306,0.000015649106,0.000057878977,0.00012026452,0.0006696864,0.00084822,0.000051277442,0.00008226881,0.000003746895],"about_ca_topic_score_codex":0.002353647,"about_ca_topic_score_gemma":0.0045839027,"teacher_disagreement_score":0.002353647,"about_ca_system_score_codex":0.00025989165,"about_ca_system_score_gemma":0.0001391236,"threshold_uncertainty_score":0.0054516196},"labels":[],"label_agreement":null},{"id":"W2996901985","doi":"10.3390/agronomy10010064","title":"The Characterization of 10 Spring Camelina Genotypes Grown in Environmental Conditions in North-Eastern Poland","year":2020,"lang":"en","type":"article","venue":"Agronomy","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Camelina; Camelina sativa; Ammi; Gene–environment interaction; Biology; Genotype; Agronomy; Crop; Yield (engineering); Temperate climate; Horticulture; Botany","score_opus":0.01520500180787235,"score_gpt":0.1654449865919779,"score_spread":0.15023998478410555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996901985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99934417,0.000066004366,0.00016209309,0.000004763913,0.0000014099608,0.000011447284,0.0002671021,0.0000046705095,0.00013826332],"genre_scores_gemma":[0.99587846,0.00014507821,0.0012195903,0.00004247456,0.000003229875,0.000049566945,0.0019968261,0.000023355782,0.00064141175],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997216,0.000027748476,0.00003503159,0.00013305189,0.000044565397,0.000037952854],"domain_scores_gemma":[0.9997098,0.000037556812,0.000086746346,0.00002968819,0.000074374555,0.000061801315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027975586,0.00036078363,0.0004665876,0.0009548773,0.00043376564,0.0003265329,0.0002492002,0.00023316276,0.0003276274],"category_scores_gemma":[0.0002975284,0.00019241162,0.0005202132,0.0007348582,0.0002461357,0.00018089473,0.0003283491,0.00018980753,0.00012168139],"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":[0.0005815184,0.00016653092,0.1335023,0.00011791491,0.00015193124,0.00051737647,0.001029832,0.00019728302,0.85616744,0.0000990607,0.00008198194,0.0073867533],"study_design_scores_gemma":[0.000010926121,0.00012514615,0.9932702,0.000004135914,0.000041150877,0.0001935815,0.00018967026,0.00014746368,0.0054222224,0.000013432837,0.00057218084,0.000009884945],"about_ca_topic_score_codex":0.015515261,"about_ca_topic_score_gemma":0.03348623,"teacher_disagreement_score":0.015515261,"about_ca_system_score_codex":0.0009334984,"about_ca_system_score_gemma":0.0005430986,"threshold_uncertainty_score":0.030849934},"labels":[],"label_agreement":null},{"id":"W2999009349","doi":"10.1002/csc2.20035","title":"Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds","year":2020,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Agricultural Research Service; National Institute of Food and Agriculture; Nebraska Corn Board; National Science Foundation; Iowa State University; University of Wisconsin-Madison; U.S. Department of Agriculture","keywords":"Biology; Trait; Gene–environment interaction; Quantitative trait locus; Phenology; Variance components; Agronomy; Sowing; Genotype; Growing season; Phenotypic trait; Yield (engineering); Phenotype; Genetics; Statistics; Gene","score_opus":0.0803872867027248,"score_gpt":0.2522048701880948,"score_spread":0.17181758348537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999009349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99856645,0.000055512315,0.0009733437,0.0000051155967,0.0000013164604,0.00000838799,0.00023101781,0.000014401043,0.0001445044],"genre_scores_gemma":[0.9978065,0.000026726972,0.0017116497,0.000010457215,0.0000023508196,0.000011375147,0.00031506567,0.000012805776,0.00010303395],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993844,0.000246341,0.000059722926,0.00014315463,0.000109434564,0.00005685887],"domain_scores_gemma":[0.99767107,0.00091988937,0.00073727703,0.00021059388,0.00020509587,0.00025619828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016278861,0.0005221758,0.00029681218,0.0024238464,0.00029455108,0.00063870486,0.00030344314,0.00036409427,0.00055417],"category_scores_gemma":[0.0016698438,0.00022424311,0.00057274906,0.00096161274,0.00033737082,0.00042747942,0.0006096148,0.0005105338,0.00014350774],"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":[0.00087355723,0.000253287,0.45573324,0.000046992373,0.0004297305,0.0000999861,0.00026949483,0.0010128968,0.53245336,0.00013216253,0.000046975074,0.008648337],"study_design_scores_gemma":[0.0000070662177,0.00018174498,0.98799115,0.0000025504407,0.000048566264,0.0000471767,0.00007724228,0.0011530863,0.010355119,0.0000455929,0.000075104705,0.000015593008],"about_ca_topic_score_codex":0.001435442,"about_ca_topic_score_gemma":0.0024513728,"teacher_disagreement_score":0.0024238464,"about_ca_system_score_codex":0.00025219106,"about_ca_system_score_gemma":0.00015593805,"threshold_uncertainty_score":0.008609235},"labels":[],"label_agreement":null},{"id":"W3002816171","doi":"10.1139/cjfr-2019-0398","title":"Adjusting for the effect of missing or dominated plants in progeny and clonal trials of <i>Eucalyptus</i>","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Diameter at breast height; Missing data; Eucalyptus; Trait; Selection (genetic algorithm); Clonal selection; Horticulture; Botany; Statistics; Mathematics; Computer science","score_opus":0.2112909021980688,"score_gpt":0.34351148913929747,"score_spread":0.13222058694122868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002816171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770796,0.000120981276,0.0017561776,0.000010000812,0.000010420046,0.000061245395,0.00011284967,0.000024655796,0.00019547401],"genre_scores_gemma":[0.9845962,0.00012508802,0.012837769,0.00009514524,0.000013216596,0.0002432482,0.0007524782,0.00009404385,0.0012427465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805415,0.0006432405,0.00018866203,0.0006300488,0.0003624023,0.000121483936],"domain_scores_gemma":[0.99511224,0.0023387345,0.0009837283,0.00079040794,0.0003759118,0.00039895196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00208738,0.00063511374,0.0006332805,0.00034021132,0.00038573676,0.00038257116,0.0007312155,0.0005009405,0.00069553667],"category_scores_gemma":[0.0030676168,0.00026581305,0.0005227592,0.00031374083,0.00027485346,0.00035083937,0.000560901,0.00087949313,0.00013835868],"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":[0.0031791646,0.0006065786,0.025032122,0.00016808102,0.00032032924,0.0001572086,0.0001956769,0.0011003892,0.95782584,0.00009192118,0.000043426044,0.011279285],"study_design_scores_gemma":[0.00019318586,0.016551793,0.5952562,0.0000265875,0.0008192421,0.00046193428,0.00022751593,0.004216783,0.37939844,0.00018297744,0.0025680556,0.000097274555],"about_ca_topic_score_codex":0.0016671316,"about_ca_topic_score_gemma":0.0058430177,"teacher_disagreement_score":0.00208738,"about_ca_system_score_codex":0.0004336063,"about_ca_system_score_gemma":0.00050548284,"threshold_uncertainty_score":0.011039257},"labels":[],"label_agreement":null},{"id":"W3010574316","doi":"10.14720/aas.2020.115.1.1300","title":"Association of traits in Ethiopian fenugreek (Trigonella foenum-graecum L.) genotypes regarding to seed yield by using phenotypic data","year":2020,"lang":"en","type":"article","venue":"Acta agriculturae Slovenica","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Trigonella; Path coefficient; Point of delivery; Biology; Yield (engineering); Biomass (ecology); Path analysis (statistics); Economic shortage; Indirect effect; Agronomy; Horticulture; Veterinary medicine; Mathematics; Medicine; Statistics","score_opus":0.06587947014755587,"score_gpt":0.22943312401867957,"score_spread":0.1635536538711237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010574316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997805,0.000021431111,0.000053487543,0.0000018890869,6.277934e-7,7.297366e-7,0.00006854594,0.0000010677486,0.00007176233],"genre_scores_gemma":[0.99933237,0.000020473026,0.00027473498,0.0000058541864,7.217131e-7,0.0000032168361,0.00017918003,0.0000023325329,0.00018102663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997483,0.0000903777,0.00002359013,0.000080292346,0.000028121201,0.000029293868],"domain_scores_gemma":[0.9995988,0.00015370865,0.00011483516,0.000036299654,0.00003945182,0.000056840592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047300095,0.00023551389,0.0002138229,0.00054786325,0.00014035265,0.0002193289,0.00014625254,0.00013412247,0.0005265918],"category_scores_gemma":[0.00040736687,0.00009148728,0.00019583708,0.00035801914,0.00014835787,0.0000878493,0.00018222687,0.00015072628,0.00010924451],"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":[0.0010345137,0.00022103399,0.8261219,0.00007120772,0.00022180389,0.0006591686,0.000665235,0.0007050419,0.15875496,0.00015103542,0.00012002829,0.011274035],"study_design_scores_gemma":[0.0000034212592,0.00010075553,0.99763846,0.0000039523416,0.000020975747,0.00016237092,0.000120185716,0.00033151478,0.001453301,0.000019760577,0.00014105039,0.0000042443094],"about_ca_topic_score_codex":0.0016333052,"about_ca_topic_score_gemma":0.0046739075,"teacher_disagreement_score":0.0016333052,"about_ca_system_score_codex":0.00017947081,"about_ca_system_score_gemma":0.00012604464,"threshold_uncertainty_score":0.003247559},"labels":[],"label_agreement":null},{"id":"W3016509734","doi":"10.2134/csa2016-61-7-1","title":"G×E: Bringing genotype by environment interactions to the fore to tackle the formidable challenges ahead","year":2016,"lang":"en","type":"article","venue":"CSA News","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Genotype; Computer science; Biology; Genetics","score_opus":0.04090410290191288,"score_gpt":0.20755509795302818,"score_spread":0.1666509950511153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016509734","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035097143,0.050616756,0.030678183,0.7500148,0.15364662,0.0000753024,0.00031408094,0.0019192217,0.009225255],"genre_scores_gemma":[0.024795553,0.052334707,0.03743959,0.6052665,0.25551522,0.00022123492,0.00042632598,0.002032951,0.021967873],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99196786,0.0039469623,0.0003318706,0.0011767147,0.0018564228,0.00072017784],"domain_scores_gemma":[0.92524,0.05430462,0.0025359117,0.003721063,0.008101369,0.0060969847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025947245,0.002093655,0.0027649335,0.0017928298,0.0026427147,0.0086839255,0.0040822984,0.010335491,0.015546326],"category_scores_gemma":[0.03871608,0.0010645706,0.0020673876,0.00185184,0.009684516,0.019188974,0.005562946,0.025079617,0.006086216],"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":[0.00021492135,0.000112399954,0.0028433555,0.0009339231,0.00023895242,0.00055142626,0.0012798384,0.00064278714,0.0016138406,0.024586888,0.7824082,0.18457344],"study_design_scores_gemma":[0.000047082638,0.00010630554,0.0024515467,0.000525645,0.00010506093,0.00041655704,0.0012119947,0.0006422574,0.00031406616,0.064872645,0.92921066,0.00009616892],"about_ca_topic_score_codex":0.0034179776,"about_ca_topic_score_gemma":0.0075455587,"teacher_disagreement_score":0.025947245,"about_ca_system_score_codex":0.0023522638,"about_ca_system_score_gemma":0.0059632,"threshold_uncertainty_score":0.13722378},"labels":[],"label_agreement":null},{"id":"W3024657714","doi":"10.5539/jas.v12n6p98","title":"Additive Main Effects and Multiplicative Interaction and Genotype Main Effect and Genotype by Environment Interaction Effects-Biplot Analysis of Sorghum Grain Yield in Uganda","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Busitema University; National Agricultural Research Organisation; Alliance for a Green Revolution in Africa","keywords":"Ammi; Biplot; Sorghum; Gene–environment interaction; Genotype; Yield (engineering); Grain yield; Interaction; Biology; Agronomy; Crop; Main effect; Biotechnology; Mathematics; Statistics; Genetics; Materials science; Gene","score_opus":0.010654053601382026,"score_gpt":0.21098379350198135,"score_spread":0.20032973990059932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024657714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667567,0.00024418143,0.025816489,0.00003561423,0.000039740513,0.000075747324,0.0044858223,0.0009842566,0.0015613972],"genre_scores_gemma":[0.9612027,0.00010626876,0.030920055,0.000033985787,0.0000073176157,0.00037178668,0.004532562,0.00047896226,0.0023463927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973003,0.0011897588,0.00017800175,0.00078467897,0.0003403475,0.0002069268],"domain_scores_gemma":[0.9983095,0.00074148475,0.00025346325,0.0003371269,0.00024659332,0.00011185792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013954398,0.0007962221,0.0012721295,0.0016247248,0.00049852516,0.0010712214,0.00055665895,0.0002301288,0.0047333445],"category_scores_gemma":[0.0020429203,0.0003511558,0.0013085601,0.0021707057,0.00038750548,0.0004587961,0.00072842446,0.0007182594,0.00075593457],"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":[0.008956785,0.0012420053,0.4201518,0.0010991454,0.0033579331,0.0012269116,0.003498424,0.008250196,0.3596987,0.0020409678,0.005096467,0.18538065],"study_design_scores_gemma":[0.00003711408,0.0009932802,0.9660239,0.000033051907,0.0003217798,0.00022284914,0.0005792032,0.013752447,0.011455712,0.00044324758,0.006061482,0.00007579494],"about_ca_topic_score_codex":0.0047257645,"about_ca_topic_score_gemma":0.006417486,"teacher_disagreement_score":0.0047333445,"about_ca_system_score_codex":0.0005153165,"about_ca_system_score_gemma":0.0005757084,"threshold_uncertainty_score":0.01583463},"labels":[],"label_agreement":null},{"id":"W3036285863","doi":"10.21273/hortsci15086-20","title":"Estimating Fresh Weight of Individual Pea Shoots Using Measurable Morphological Characteristics","year":2020,"lang":"en","type":"article","venue":"HortScience","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Linear regression; Stipule; Shoot; Leaflet (botany); Linear model; Regression analysis; Statistics; Nonlinear regression; Path coefficient; Horticulture; Botany; Biology","score_opus":0.1021556535448589,"score_gpt":0.23002190661175895,"score_spread":0.12786625306690005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036285863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9213905,0.00035309166,0.07507412,0.000023280892,0.000011839435,0.00007613953,0.0015015278,0.00037310596,0.0011963942],"genre_scores_gemma":[0.9695775,0.00020016727,0.027187841,0.000023406512,0.000004920854,0.000078902034,0.0013934239,0.000046195702,0.0014874971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975663,0.0000374402,0.000020025775,0.00010709947,0.000063733496,0.000015080741],"domain_scores_gemma":[0.9993316,0.00030857726,0.0001452433,0.000077544704,0.00010457294,0.00003254332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068585604,0.0006136005,0.0004056942,0.0007060102,0.00012440531,0.000543969,0.00037546435,0.00031062088,0.0010010145],"category_scores_gemma":[0.0016843219,0.00026246795,0.00067069207,0.0006809131,0.00017240428,0.0005233423,0.00037965988,0.00045967317,0.0005307548],"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":[0.0003355455,0.00011692922,0.45372975,0.00036563585,0.00031875895,0.0003355812,0.00033971132,0.012725658,0.4167734,0.00021245054,0.00028010833,0.11446648],"study_design_scores_gemma":[0.000009483809,0.0004132373,0.9231589,0.000017873,0.00013179988,0.00023232102,0.00010210437,0.039353255,0.035352822,0.00028461008,0.00090109895,0.00004249562],"about_ca_topic_score_codex":0.002046125,"about_ca_topic_score_gemma":0.005231819,"teacher_disagreement_score":0.002046125,"about_ca_system_score_codex":0.00020877538,"about_ca_system_score_gemma":0.0001688811,"threshold_uncertainty_score":0.0040683746},"labels":[],"label_agreement":null},{"id":"W3042615076","doi":"10.1002/csc2.20268","title":"Testing for nonlinear genotype × environment interactions","year":2020,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Function (biology); Nonlinear regression; Crossover; Hordeum vulgare; Nonlinear system; Range (aeronautics); Gene–environment interaction; Intersection (aeronautics); Statistics; Genotype; Mathematics; Regression analysis; Genetics; Ecology; Physics; Computer science; Poaceae","score_opus":0.09809233661928929,"score_gpt":0.2423704774134081,"score_spread":0.1442781407941188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042615076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90732116,0.00006662825,0.08877752,0.000103497136,0.000025653302,0.00012374352,0.0011820347,0.00041647302,0.001983404],"genre_scores_gemma":[0.9773398,0.000019252046,0.02084344,0.00005441141,0.000010603069,0.00023669412,0.0007729115,0.00010289052,0.0006200467],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9786578,0.011615758,0.0010696294,0.0047181896,0.0031354204,0.00080330507],"domain_scores_gemma":[0.9424475,0.04827626,0.0024543556,0.0044559455,0.0015175975,0.00084831665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010823752,0.0009331591,0.0012244186,0.0018307362,0.0006436813,0.0010974774,0.0016403071,0.0007243013,0.004484262],"category_scores_gemma":[0.022871781,0.00034682962,0.001937374,0.0016328334,0.0013737599,0.0014232805,0.0016014399,0.0020294162,0.00044933],"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":[0.0065914444,0.0022108725,0.6441813,0.0004510319,0.0060103303,0.0015898776,0.0011223855,0.036935072,0.197359,0.009497755,0.0016340615,0.092416786],"study_design_scores_gemma":[0.00013432132,0.005389138,0.6375194,0.000028606135,0.0006482209,0.0007590643,0.0008408496,0.31654847,0.027340371,0.0078932345,0.0027355715,0.00016272097],"about_ca_topic_score_codex":0.0018793062,"about_ca_topic_score_gemma":0.001606817,"teacher_disagreement_score":0.010823752,"about_ca_system_score_codex":0.0007707583,"about_ca_system_score_gemma":0.0009358551,"threshold_uncertainty_score":0.057242155},"labels":[],"label_agreement":null},{"id":"W3043748680","doi":"10.1111/pbr.12845","title":"Genetic variation of seedling traits responded to brassinosteroid and gibberellin inhibitors in maize (<i>Zea mays</i>) doubled haploid lines","year":2020,"lang":"en","type":"article","venue":"Plant Breeding","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"National Institute of Food and Agriculture","keywords":"Seedling; Biology; Gibberellin; Brassinosteroid; Heritability; Inbred strain; Zea mays; Germination; Genetic variability; Genetic variation; Poaceae; Agronomy; Doubled haploidy; Quantitative trait locus; Horticulture; Botany; Genotype; Genetics; Arabidopsis; Gene","score_opus":0.03910278634760281,"score_gpt":0.2011126552669165,"score_spread":0.16200986891931368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043748680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990644,0.00007846981,0.0003500249,0.000008196376,0.0000022794447,0.000008615901,0.00031676216,0.0000146961,0.0001566057],"genre_scores_gemma":[0.9978461,0.00007971469,0.0006440117,0.000017222177,0.0000017675159,0.000021418899,0.0007472569,0.000020511396,0.0006219509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998369,0.000025178033,0.000019639889,0.000052475676,0.000043057105,0.000022709848],"domain_scores_gemma":[0.9997441,0.000050767572,0.000091133246,0.00002221114,0.000032942597,0.000058830905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018499998,0.00028903328,0.00021489817,0.0005856744,0.00016165967,0.00018182765,0.00017003187,0.0001503489,0.0007701001],"category_scores_gemma":[0.00017297715,0.00018128408,0.0002183882,0.0003091664,0.00013980515,0.00008382504,0.00019822747,0.0003385328,0.00013026936],"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":[0.00010458589,0.000016431723,0.0028071746,0.000009846552,0.000015403324,0.00002851559,0.000038572358,0.000031471365,0.9963786,0.00002072224,0.000011181475,0.0005374154],"study_design_scores_gemma":[0.000043169362,0.00045228828,0.7956997,0.000007181279,0.00008475349,0.0003894669,0.0001758486,0.00082589756,0.20111874,0.000046563124,0.0011283343,0.000027996966],"about_ca_topic_score_codex":0.00253701,"about_ca_topic_score_gemma":0.0039573787,"teacher_disagreement_score":0.00253701,"about_ca_system_score_codex":0.00040313342,"about_ca_system_score_gemma":0.00014150942,"threshold_uncertainty_score":0.0050444603},"labels":[],"label_agreement":null},{"id":"W3049609535","doi":"10.5539/jas.v12n9p173","title":"Bayesian Perspective in the Selection of Bean Genotypes","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Frequentist inference; Prior probability; Bayesian probability; A priori and a posteriori; Statistics; Mathematics; Bayesian inference; Stability (learning theory); Prior information; Adaptability; Computer science; Artificial intelligence; Machine learning; Biology","score_opus":0.022591700431775358,"score_gpt":0.21331252429066858,"score_spread":0.19072082385889322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049609535","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":[0.12393857,0.002121831,0.8657349,0.0009386574,0.000066700355,0.00012007093,0.00015035243,0.000123681,0.0068051876],"genre_scores_gemma":[0.71233404,0.0013182056,0.28348413,0.00034277994,0.00014506355,0.00020673644,0.00025852546,0.00010166907,0.0018088632],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9889264,0.0087089855,0.00025326773,0.0010200569,0.0008741162,0.0002171116],"domain_scores_gemma":[0.98157984,0.01566234,0.00085278635,0.00055772206,0.0010240553,0.00032321943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01753627,0.00051891967,0.0010892194,0.002502211,0.00084438967,0.0024134272,0.0010099943,0.0010388523,0.0023172717],"category_scores_gemma":[0.04307373,0.00052069494,0.00097487145,0.0012462509,0.0015077371,0.0017956721,0.0013195983,0.0011291798,0.00035367656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010603959,0.0002769342,0.071064435,0.00095914275,0.0011365634,0.001215296,0.00537116,0.179788,0.0162363,0.29534787,0.0029174348,0.42462644],"study_design_scores_gemma":[0.00018827179,0.0005038893,0.047425307,0.00035102558,0.00039991882,0.000819533,0.0011554712,0.5099093,0.0031646988,0.4238466,0.012025536,0.00021045342],"about_ca_topic_score_codex":0.004677154,"about_ca_topic_score_gemma":0.0061536743,"teacher_disagreement_score":0.01753627,"about_ca_system_score_codex":0.0014372728,"about_ca_system_score_gemma":0.0013929562,"threshold_uncertainty_score":0.09274173},"labels":[],"label_agreement":null},{"id":"W3084298045","doi":"10.5539/jas.v12n10p1","title":"Bayesian Estimation and Economic Analysis of Under-Replicated Field Trials With a Linear Response Plateau Function","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bayesian probability; Leverage (statistics); Statistics; Econometrics; Mathematics; Function (biology); Agriculture; Bayes estimator; Agronomy; Computer science; Biology; Ecology","score_opus":0.04650191777118014,"score_gpt":0.25165287323266783,"score_spread":0.2051509554614877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084298045","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":[0.12736513,0.0003759309,0.8695357,0.00023178637,0.000021916072,0.00036272217,0.00034669717,0.00020911176,0.0015510345],"genre_scores_gemma":[0.6858925,0.00037957533,0.30704692,0.0001805327,0.00006503554,0.0013096611,0.0010191386,0.00012778718,0.0039788033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98238647,0.014139795,0.0005795284,0.0012689615,0.0011725595,0.0004526607],"domain_scores_gemma":[0.77301157,0.20866404,0.00689657,0.0071406425,0.0036442948,0.0006428764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05660941,0.00085698976,0.0025019299,0.0016136788,0.00053211773,0.0013525223,0.0022152185,0.001624486,0.0029543499],"category_scores_gemma":[0.13021235,0.0010667096,0.0019869637,0.0013454766,0.0017283823,0.0021895003,0.0014497581,0.0022665726,0.00033071978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013142151,0.0003454647,0.020134887,0.0002862856,0.0006964404,0.00029439153,0.00023420116,0.83148617,0.004776417,0.07227809,0.0009014782,0.06725188],"study_design_scores_gemma":[0.00005737248,0.00021758318,0.005627694,0.000022754739,0.000057330362,0.00003903515,0.000026076796,0.9734961,0.0007421415,0.019147845,0.0005369041,0.000029243087],"about_ca_topic_score_codex":0.004962043,"about_ca_topic_score_gemma":0.0039744456,"teacher_disagreement_score":0.05660941,"about_ca_system_score_codex":0.0019019535,"about_ca_system_score_gemma":0.0016283931,"threshold_uncertainty_score":0.29938275},"labels":[],"label_agreement":null},{"id":"W3111911437","doi":"10.1002/csc2.20426","title":"Oat mega‐environments in Canada","year":2020,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health PEI; University of Saskatchewan; Brandon University; Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Avena; Biology; Cultivar; Perennial plant; Rust (programming language); Variety (cybernetics); Agronomy; New Variety; Stem rust; Botany; Genotype; Statistics; Mathematics; Computer science","score_opus":0.03062043650492899,"score_gpt":0.16312136766719018,"score_spread":0.1325009311622612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111911437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880754,0.00025396072,0.00061243103,0.000043860542,0.0000060018524,0.000036140682,0.009211745,0.000038460697,0.001721949],"genre_scores_gemma":[0.99053544,0.00015049895,0.0011937413,0.000035380417,0.0000011301569,0.00002953994,0.006981177,0.000016134829,0.0010569241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993673,0.000058611422,0.000022169506,0.00022491722,0.00017505916,0.00015197122],"domain_scores_gemma":[0.9990829,0.00010184226,0.000112027774,0.00006724927,0.00050883123,0.00012705794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004259646,0.00027256983,0.00042345806,0.001074185,0.0011949957,0.0011225685,0.0004979766,0.00013602167,0.0009797857],"category_scores_gemma":[0.0006814237,0.0001359549,0.0003846975,0.0035082814,0.00036674563,0.00024325348,0.00052862574,0.0002530806,0.000109408385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082663324,0.00010439309,0.92758083,0.0001794323,0.00048685574,0.00034860225,0.0016762536,0.0028482657,0.017564451,0.00066096324,0.003068863,0.044654526],"study_design_scores_gemma":[0.0000054125503,0.000020825224,0.9961422,0.000009401024,0.00002812643,0.000017037917,0.00063180446,0.0006130981,0.00039025763,0.000030098028,0.002103206,0.0000086663895],"about_ca_topic_score_codex":0.9757647,"about_ca_topic_score_gemma":0.9926077,"teacher_disagreement_score":0.024235308,"about_ca_system_score_codex":0.0109530045,"about_ca_system_score_gemma":0.0078674825,"threshold_uncertainty_score":0.07947004},"labels":[],"label_agreement":null},{"id":"W3119105515","doi":"10.5539/jas.v13n2p78","title":"Stability Assessment of Single-Cross Maize Hybrids Using GGE-Biplot Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hybrid; Mating design; Inbred strain; Population; Biology; Agronomy; Grain yield; Biplot; Biotechnology; Mathematics; Heterosis; Genotype; Genetics","score_opus":0.07074951516128845,"score_gpt":0.28477080284775336,"score_spread":0.2140212876864649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119105515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978007,0.00008328432,0.018334268,0.000024539499,0.000011939313,0.000043137465,0.0018878373,0.000734538,0.00087348296],"genre_scores_gemma":[0.9612333,0.00006393625,0.03428767,0.000014011257,0.0000051322677,0.00011926606,0.003255864,0.00014681369,0.0008740296],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996495,0.00007456622,0.000031646126,0.00011625522,0.00009588757,0.000032052827],"domain_scores_gemma":[0.9992435,0.00026297948,0.00018851811,0.00007957945,0.00018235245,0.000042971507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008722421,0.0003074428,0.0003204617,0.0014601779,0.00022724066,0.00052726304,0.0002179738,0.00013997748,0.001754292],"category_scores_gemma":[0.0012154585,0.00010127508,0.000435363,0.0012411536,0.00015176492,0.00018538105,0.0002036018,0.00027119342,0.00033977552],"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":[0.0012151272,0.00038011876,0.09630338,0.00022567128,0.00026846657,0.00026030277,0.00077158643,0.0036323941,0.77001965,0.00060543104,0.0011400611,0.12517774],"study_design_scores_gemma":[0.000019202558,0.0007166725,0.92669487,0.000013408435,0.0000779007,0.00023517942,0.0003706874,0.018526066,0.050279252,0.00020867898,0.0027956734,0.00006235041],"about_ca_topic_score_codex":0.0021859976,"about_ca_topic_score_gemma":0.003344892,"teacher_disagreement_score":0.0021859976,"about_ca_system_score_codex":0.00027200623,"about_ca_system_score_gemma":0.00017837044,"threshold_uncertainty_score":0.0058686733},"labels":[],"label_agreement":null},{"id":"W3119885564","doi":"10.3389/fpls.2020.590762","title":"Estimation of the Optimal Number of Replicates in Crop Variety Trials","year":2021,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Replicate; Replication (statistics); Selection (genetic algorithm); Statistics; Heritability; Biology; Biotechnology; Mathematics; Computer science; Genetics; Machine learning","score_opus":0.03464805986659179,"score_gpt":0.2523995162962074,"score_spread":0.21775145642961558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119885564","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1836748,0.0011414692,0.8077462,0.00022466575,0.000104086736,0.0036268064,0.00045517145,0.00065343466,0.0023734004],"genre_scores_gemma":[0.39925897,0.0002017188,0.5932005,0.000207885,0.000021338947,0.005507947,0.00053378084,0.00018656705,0.0008813114],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.943748,0.04254291,0.0030313518,0.005179075,0.0045175105,0.0009811257],"domain_scores_gemma":[0.82645684,0.13135429,0.014191536,0.016157769,0.010200484,0.0016390503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07189925,0.0013825821,0.0031997554,0.0013346887,0.001133582,0.0018019027,0.0028770359,0.00281358,0.0012234563],"category_scores_gemma":[0.14997958,0.0013450704,0.0022805105,0.0013741414,0.0018071266,0.0023414276,0.002025447,0.0028236357,0.00076708366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020225067,0.003831873,0.092228,0.0034804943,0.0016904323,0.0008627188,0.0026848493,0.33124426,0.16286753,0.023125362,0.002619409,0.35513994],"study_design_scores_gemma":[0.0024312472,0.017623607,0.1328702,0.001307497,0.0013906895,0.00072978187,0.0011492221,0.5677045,0.19312242,0.059527747,0.021374455,0.0007686298],"about_ca_topic_score_codex":0.001685936,"about_ca_topic_score_gemma":0.0030299013,"teacher_disagreement_score":0.07189925,"about_ca_system_score_codex":0.0017798566,"about_ca_system_score_gemma":0.001788964,"threshold_uncertainty_score":0.38024414},"labels":[],"label_agreement":null},{"id":"W3129910348","doi":"10.1002/tpg2.20088","title":"Modeling first order additive × additive epistasis improves accuracy of genomic prediction for sclerotinia stem rot resistance in canola","year":2021,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Grains Research and Development Corporation","keywords":"Sclerotinia sclerotiorum; Canola; Sclerotinia; Epistasis; Leptosphaeria maculans; Biology; Quantitative trait locus; Genetic architecture; Best linear unbiased prediction; Stem rot; Plant breeding; Quantitative genetics; Genetics; Biotechnology; Agronomy; Selection (genetic algorithm); Genetic variation; Botany; Machine learning; Gene; Computer science","score_opus":0.041617490306611916,"score_gpt":0.20054267435604034,"score_spread":0.15892518404942843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129910348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89706826,0.0003773478,0.10070532,0.0001541142,0.000010679643,0.000012376852,0.00023279451,0.00086039276,0.0005788028],"genre_scores_gemma":[0.9774843,0.00008683524,0.021677976,0.0000389191,0.0000043472974,0.000013632982,0.00030657934,0.000069650356,0.00031773222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987896,0.0007655476,0.000040487346,0.0002605176,0.000085209176,0.00005861856],"domain_scores_gemma":[0.9968587,0.002508815,0.00020868295,0.00018345387,0.00015510693,0.00008524729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030201972,0.0008973629,0.0005212014,0.00050444895,0.00021840255,0.00061582186,0.00046188736,0.00039462865,0.00050678663],"category_scores_gemma":[0.0044663483,0.00024023595,0.0008083531,0.00028838063,0.00016477202,0.00050880795,0.00058031373,0.00069806207,0.00018415645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077464734,0.00035580463,0.12892711,0.00013252097,0.0014064062,0.00012848097,0.0001940299,0.69205415,0.049991507,0.0012146482,0.0005639171,0.12425672],"study_design_scores_gemma":[0.000013362969,0.00018124386,0.027977137,0.0000063766324,0.0001250681,0.000028460263,0.00001963847,0.9671348,0.0033698,0.00085713493,0.00026070408,0.000026359598],"about_ca_topic_score_codex":0.008755426,"about_ca_topic_score_gemma":0.017442688,"teacher_disagreement_score":0.008755426,"about_ca_system_score_codex":0.0003734126,"about_ca_system_score_gemma":0.00051364454,"threshold_uncertainty_score":0.017408907},"labels":[],"label_agreement":null},{"id":"W3153242966","doi":"10.5539/jas.v13n5p104","title":"Genetic Evaluation and Correlation Analysis Among Various Quantitative Traits in Maize Single-Cross Hybrids Under Diverse Environments","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","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":"Consortium of International Agricultural Research Centers; State Tobacco Monopoly Administration; Bill and Melinda Gates Foundation; United States Agency for International Development","keywords":"Heritability; Diallel cross; Hybrid; Anthesis; Biology; Mating design; Genetic variation; Inbred strain; Correlation; Genetic correlation; Genetic variability; Agronomy; Path coefficient; Correlation coefficient; Path analysis (statistics); Horticulture; Genotype; Genetics; Statistics; Mathematics; Cultivar","score_opus":0.041759060844235765,"score_gpt":0.24937622362496686,"score_spread":0.2076171627807311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153242966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992888,0.000014828302,0.0005164091,0.000002437474,5.6666187e-7,0.000003058336,0.00009241679,0.0000079129695,0.00007355198],"genre_scores_gemma":[0.99799275,0.00001955724,0.0013790883,0.000001952568,0.0000013428842,0.000009059512,0.00039875164,0.000007708539,0.0001897348],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996499,0.00007180773,0.00002491975,0.000111035166,0.0001087066,0.000033686818],"domain_scores_gemma":[0.9994382,0.0002116347,0.00014642377,0.00005523939,0.00007958722,0.000068902744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004735714,0.00023044542,0.00020333039,0.00082102825,0.00015463031,0.00022875541,0.0001259406,0.000118511794,0.00055855204],"category_scores_gemma":[0.00061166723,0.00011144269,0.0003134873,0.00058093964,0.0001528288,0.00008331859,0.000210142,0.00018204172,0.00010402728],"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":[0.00066534634,0.00015118298,0.290389,0.00006097269,0.00036736784,0.00047182568,0.0005188396,0.001681494,0.68987095,0.0003881127,0.00007215209,0.015362786],"study_design_scores_gemma":[0.0000062430395,0.00027918923,0.988917,0.0000020694758,0.00004492747,0.00025170116,0.0000786843,0.0016744199,0.00845507,0.00006069881,0.00021622289,0.000013858214],"about_ca_topic_score_codex":0.00096127694,"about_ca_topic_score_gemma":0.0014212664,"teacher_disagreement_score":0.00096127694,"about_ca_system_score_codex":0.00016620067,"about_ca_system_score_gemma":0.00013248138,"threshold_uncertainty_score":0.0025045276},"labels":[],"label_agreement":null},{"id":"W3171996942","doi":"10.1002/csc2.20545","title":"Testcross vs. randomly paired single‐cross progeny tests for genomic prediction of new inbreds and hybrids derived from multiparent maize populations","year":2021,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Hybrid; Doubled haploidy; Population; Genetics; Zea mays; Inbred strain; Dominance (genetics); Grain yield; Ploidy; Agronomy; Gene","score_opus":0.11289254206331781,"score_gpt":0.27087743501010436,"score_spread":0.15798489294678655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171996942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811317,0.0001362122,0.017030342,0.000009601615,0.000018224555,0.00006660025,0.0008742903,0.00018906628,0.0005439836],"genre_scores_gemma":[0.9799896,0.000049796523,0.017631587,0.000027558404,0.0000054446373,0.000099818164,0.0016787377,0.000075332406,0.00044219568],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977569,0.0006914176,0.00016060946,0.0008786881,0.00042309592,0.00008936143],"domain_scores_gemma":[0.9952264,0.002942617,0.0007053715,0.00045910256,0.00039432084,0.0002721878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029928717,0.0007150808,0.0005833694,0.0013417113,0.00037926398,0.0007015831,0.0008731085,0.0005151652,0.0014678898],"category_scores_gemma":[0.003216645,0.0002931648,0.0012989059,0.00066855736,0.00030187893,0.00040645702,0.0006163853,0.0008041219,0.00030320574],"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":[0.00361045,0.0011494363,0.3699272,0.0003005548,0.0025299154,0.00066074496,0.00069925154,0.0109033175,0.5702368,0.0011395374,0.00036301473,0.038479876],"study_design_scores_gemma":[0.00014757646,0.0036797274,0.8544217,0.00002375149,0.0007469541,0.00043311933,0.00038410176,0.042966824,0.094845936,0.0005204026,0.001709513,0.000120357334],"about_ca_topic_score_codex":0.0024416952,"about_ca_topic_score_gemma":0.0046475646,"teacher_disagreement_score":0.0029928717,"about_ca_system_score_codex":0.00064565387,"about_ca_system_score_gemma":0.00030704736,"threshold_uncertainty_score":0.015828013},"labels":[],"label_agreement":null},{"id":"W3200137195","doi":"10.3389/fpls.2021.724517","title":"A Systematic Narration of Some Key Concepts and Procedures in Plant Breeding","year":2021,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Selection (genetic algorithm); Population; Trait; Gene–environment interaction; Biology; Biotechnology; Plant breeding; Statistics; Genotype; Agronomy; Mathematics; Computer science; Genetics","score_opus":0.016886304067375863,"score_gpt":0.20797641171975212,"score_spread":0.19109010765237625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200137195","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005743402,0.308284,0.570763,0.013506215,0.019457282,0.0012863941,0.0013793679,0.001300394,0.07827989],"genre_scores_gemma":[0.03502842,0.378917,0.47262454,0.014514994,0.013362435,0.0030551532,0.0021303056,0.0010478559,0.07931933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977012,0.0010997232,0.00040739306,0.0003386722,0.00036172557,0.00009137956],"domain_scores_gemma":[0.9959896,0.0025318759,0.0003473657,0.00046464227,0.00058080483,0.00008565585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051512667,0.0012796365,0.000704951,0.003723599,0.0015211471,0.002605111,0.0016569654,0.0015395068,0.0049738283],"category_scores_gemma":[0.006619976,0.0005947137,0.0007535833,0.003696513,0.0045944653,0.0033393565,0.0014930498,0.0047789672,0.005580222],"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":[0.00015034051,0.00021778788,0.0018253825,0.005355175,0.000054802927,0.0009887692,0.0030015958,0.0036701236,0.0134943705,0.25629556,0.11200501,0.60294104],"study_design_scores_gemma":[0.0000022845504,0.00009121725,0.0013198558,0.0006894911,0.000008373123,0.0007022263,0.00015652255,0.0004916732,0.0011395068,0.019824598,0.9755406,0.000033793087],"about_ca_topic_score_codex":0.0018957397,"about_ca_topic_score_gemma":0.0025252828,"teacher_disagreement_score":0.0051512667,"about_ca_system_score_codex":0.0019600424,"about_ca_system_score_gemma":0.0021969206,"threshold_uncertainty_score":0.02724284},"labels":[],"label_agreement":null},{"id":"W3201075104","doi":"","title":"Performance of some promising genotypes of soybean under different planting dates using biplots analysis.","year":2012,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biplot; Sowing; Biology; Genotype; Agronomy; Genetics; Gene","score_opus":0.058677986640516426,"score_gpt":0.23789483536215286,"score_spread":0.17921684872163643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201075104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667525,0.00017073042,0.0011164919,0.000016934839,0.000014474835,0.000015587559,0.001514657,0.00008166556,0.000394181],"genre_scores_gemma":[0.9931768,0.00007138712,0.0030596633,0.000018878616,0.0000039561237,0.000043405395,0.0026400017,0.000057983823,0.0009278929],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99960536,0.0001172931,0.000029046201,0.00014098291,0.000058297443,0.00004904593],"domain_scores_gemma":[0.99924135,0.00031786723,0.00011375313,0.000055431556,0.00009159745,0.00018006317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005702219,0.0003991119,0.0004492351,0.00092525565,0.00027466565,0.0003068606,0.00025311124,0.00018395077,0.0012183342],"category_scores_gemma":[0.00041471203,0.00015415643,0.00040358945,0.0007619867,0.00013036703,0.00017948159,0.00013922724,0.00042592984,0.00020258923],"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":[0.006263679,0.0006617129,0.0552372,0.0002857139,0.00039597068,0.00029956983,0.00025094484,0.001960343,0.91025865,0.00026212056,0.00074335374,0.023380687],"study_design_scores_gemma":[0.00006794761,0.0014787118,0.9706222,0.0000070612664,0.00020003812,0.00015426836,0.00013242749,0.0034599863,0.022713853,0.00010090726,0.0010243041,0.000038184135],"about_ca_topic_score_codex":0.0030169482,"about_ca_topic_score_gemma":0.0072807083,"teacher_disagreement_score":0.0030169482,"about_ca_system_score_codex":0.0004283607,"about_ca_system_score_gemma":0.00029197126,"threshold_uncertainty_score":0.0059987903},"labels":[],"label_agreement":null},{"id":"W3208049302","doi":"10.9734/ajraf/2020/v5i230081","title":"Sensitivity of Genotype by Environment Interaction Models to Outlying Observations","year":2020,"lang":"en","type":"article","venue":"Asian Journal of Research in Agriculture and Forestry","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Statistics; Additive model; Mixed model; Econometrics; Gene–environment interaction; Inference; Genotype; Mathematics; Computer science; Biology; Geography; Genetics","score_opus":0.16125280252872437,"score_gpt":0.28573594455959195,"score_spread":0.12448314203086758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208049302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52285284,0.0007445754,0.47274098,0.0005695463,0.00008537725,0.00020302282,0.00072585477,0.0007242679,0.0013535467],"genre_scores_gemma":[0.95669913,0.00015698759,0.040565047,0.00016220247,0.000026748468,0.00017669199,0.0010997978,0.000099471465,0.0010138437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9786537,0.013883867,0.0008551184,0.004357657,0.0014331782,0.00081631454],"domain_scores_gemma":[0.80800337,0.16765164,0.00981737,0.011333564,0.0025614684,0.00063251925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034520067,0.0013303098,0.0012434479,0.00077627413,0.00079794676,0.0019464087,0.0017110752,0.0016214548,0.0012516826],"category_scores_gemma":[0.09096796,0.001032027,0.002061048,0.0007672269,0.0016640082,0.002124502,0.0017747969,0.003324352,0.00028188244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020562098,0.0004220026,0.14930397,0.00032123653,0.0017343587,0.00146816,0.0013161228,0.78196096,0.005725587,0.015347774,0.0012845435,0.039058995],"study_design_scores_gemma":[0.00006324838,0.00047269466,0.02959482,0.00006406867,0.00033289415,0.0005181349,0.00030439845,0.9470797,0.003672219,0.016336616,0.0014659865,0.0000951895],"about_ca_topic_score_codex":0.005580836,"about_ca_topic_score_gemma":0.0040279627,"teacher_disagreement_score":0.034520067,"about_ca_system_score_codex":0.0011882896,"about_ca_system_score_gemma":0.001037226,"threshold_uncertainty_score":0.18256181},"labels":[],"label_agreement":null},{"id":"W3212606875","doi":"10.3389/fpls.2021.699589","title":"Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks","year":2021,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Georg-August-Universität Göttingen","keywords":"Gradient boosting; Predictive modelling; Context (archaeology); Genomic selection; Machine learning; Random forest; Gene–environment interaction; Decision tree; Boosting (machine learning); Environmental data; Regression; Artificial intelligence; Support vector machine; Computer science; Statistics; Biology; Mathematics; Genotype; Ecology; Genetics","score_opus":0.015628145705092918,"score_gpt":0.16166310665880623,"score_spread":0.14603496095371332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212606875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5787137,0.00080156286,0.41746843,0.0004526062,0.000041307117,0.00007139149,0.0005209222,0.00086011126,0.0010699375],"genre_scores_gemma":[0.9493102,0.00012784162,0.049149778,0.00007526954,0.0000311987,0.000047566344,0.0006502172,0.00003769765,0.00057022244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995442,0.00023933493,0.000018367278,0.00009786437,0.000047234975,0.000052991705],"domain_scores_gemma":[0.99907756,0.000550137,0.000096885815,0.000063451706,0.00015522343,0.00005686147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030936308,0.0007015407,0.0009127877,0.00069995795,0.0003022605,0.0005447325,0.0011295247,0.0005205555,0.0005368586],"category_scores_gemma":[0.0026788472,0.00042036516,0.0009260574,0.00051848806,0.000346721,0.00054259493,0.00064789114,0.0007943734,0.00021527511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016260683,0.00009211825,0.007296114,0.000023363598,0.00009400188,0.000035269608,0.000029718858,0.96128,0.00091775524,0.0008460138,0.00042818318,0.028794935],"study_design_scores_gemma":[0.000004660166,0.000011588587,0.00061446184,0.0000014401496,0.000004903002,0.0000016594037,0.000002385718,0.99878794,0.00007848791,0.00043980833,0.000050648352,0.0000020685318],"about_ca_topic_score_codex":0.012075233,"about_ca_topic_score_gemma":0.009741788,"teacher_disagreement_score":0.012075233,"about_ca_system_score_codex":0.00068175106,"about_ca_system_score_gemma":0.00086365844,"threshold_uncertainty_score":0.024009943},"labels":[],"label_agreement":null},{"id":"W3213986253","doi":"10.1139/cjps-2021-0149","title":"Evaluation of barley testing locations in Ontario","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Brandon University; Agriculture and Agri-Food Canada","funders":"","keywords":"Cultivar; Hordeum vulgare; Mega-; Test (biology); Agronomy; Biology; Poaceae; Botany","score_opus":0.1336233996591519,"score_gpt":0.2269520565868656,"score_spread":0.0933286569277137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213986253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850953,0.00021668714,0.0017775937,0.000096585274,0.000019078661,0.00020661451,0.0036835005,0.00012243232,0.0087821465],"genre_scores_gemma":[0.9800874,0.00024729597,0.0050404305,0.00007136368,0.0000055470355,0.0002005944,0.006137969,0.00009479187,0.008114669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867046,0.00014709827,0.000054937,0.00026541503,0.00061299023,0.00024918455],"domain_scores_gemma":[0.9962274,0.0003230264,0.0008045554,0.00026645066,0.0019630182,0.00041554024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011041237,0.00043854615,0.00047386697,0.0007862374,0.0016276428,0.00092834467,0.00097059127,0.00022102281,0.0019040701],"category_scores_gemma":[0.0020378656,0.00026336382,0.00047545985,0.002085346,0.00080719235,0.00042921765,0.00069205184,0.00030151993,0.0005244496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00318896,0.00024878661,0.765513,0.0004779631,0.00023787428,0.0014639149,0.004272553,0.0057786643,0.11932742,0.0007400521,0.0061559984,0.09259483],"study_design_scores_gemma":[0.00004500418,0.00044428508,0.969673,0.000030062443,0.000101688885,0.00015413572,0.0024664514,0.0017052641,0.009092929,0.000076529584,0.016162932,0.000047742597],"about_ca_topic_score_codex":0.8436615,"about_ca_topic_score_gemma":0.9693922,"teacher_disagreement_score":0.15633851,"about_ca_system_score_codex":0.016708229,"about_ca_system_score_gemma":0.013839671,"threshold_uncertainty_score":0.3145184},"labels":[],"label_agreement":null},{"id":"W4206398703","doi":"10.3410/f.740511070.793587764","title":"Faculty Opinions recommendation of Microbe-dependent heterosis in maize.","year":2021,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Heterosis; Biotechnology; Biology; Agronomy; Hybrid","score_opus":0.04309831396101569,"score_gpt":0.30475588169489,"score_spread":0.2616575677338743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206398703","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037855448,0.000112162896,0.000047931255,0.00006218414,0.000016678077,0.000003930585,0.9986419,0.00022053657,0.00051605067],"genre_scores_gemma":[0.000988797,0.00006936674,0.00018057117,0.000046752855,0.0000059322356,0.000018281462,0.9978824,0.000051386174,0.0007563947],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911314,0.00012386087,0.00007034936,0.0003392744,0.00022335284,0.00013003628],"domain_scores_gemma":[0.997769,0.00071292295,0.00032349143,0.00046853072,0.0004549209,0.00027111074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009940658,0.0019327658,0.0013290466,0.0027375384,0.0006492,0.002002548,0.001958694,0.002193646,0.04935696],"category_scores_gemma":[0.0057080695,0.00048467395,0.0015454907,0.00408734,0.00025219418,0.0011554345,0.001322339,0.0012408834,0.055172157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017957091,0.00003933305,0.004047127,0.0010937079,0.00013178533,0.00003093732,0.000022552436,0.00045586444,0.0005035084,0.00035266438,0.98933,0.0038130134],"study_design_scores_gemma":[0.0005719688,0.0000505103,0.034629285,0.00042464875,0.00021442703,0.00010402173,0.000084458414,0.0013919992,0.0012610649,0.0016016167,0.9596057,0.00006031919],"about_ca_topic_score_codex":0.029632952,"about_ca_topic_score_gemma":0.06493385,"teacher_disagreement_score":0.04935696,"about_ca_system_score_codex":0.0012223381,"about_ca_system_score_gemma":0.001910446,"threshold_uncertainty_score":0.16511548},"labels":[],"label_agreement":null},{"id":"W4221097354","doi":"10.21203/rs.3.rs-1442864/v1","title":"Simulations of rate of genetic gain in dry bean breeding programs","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Genetic gain; Dry bean; Biology; Agronomy; Biotechnology; Statistics; Mathematics; Genetic variation; Genetics; Cultivar; Gene","score_opus":0.15599780752063133,"score_gpt":0.35475027254124847,"score_spread":0.19875246502061714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221097354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99236697,0.00006364474,0.0040789153,0.00010516034,0.000011238603,0.000023970839,0.00026509137,0.000046780246,0.003038247],"genre_scores_gemma":[0.99691063,0.000027030525,0.002234713,0.000017032859,0.0000013555937,0.00003410897,0.00013414255,0.0000097233915,0.0006312793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997857,0.000101530226,0.000008051846,0.000029704095,0.000023783658,0.00005105903],"domain_scores_gemma":[0.9956027,0.0035769404,0.0002461913,0.000120996396,0.00026194163,0.0001912132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008994477,0.0003333922,0.00040638747,0.00055476377,0.00034372622,0.0006088919,0.0006415243,0.00090347644,0.002465152],"category_scores_gemma":[0.004751888,0.00023766112,0.00044489832,0.00053737906,0.00052013714,0.0004921903,0.00046395554,0.0006255756,0.00014549267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092894246,0.00006169235,0.0049144127,0.000011789472,0.000012347581,0.00002954825,0.000023926277,0.9925599,0.00034205234,0.0007680403,0.00013818622,0.001045333],"study_design_scores_gemma":[0.000026652177,0.00006958184,0.0014124813,0.000005349629,0.000009493596,0.0000065177883,0.00003997285,0.9976299,0.0002176689,0.00044342902,0.0001334248,0.000005594976],"about_ca_topic_score_codex":0.019984808,"about_ca_topic_score_gemma":0.011545339,"teacher_disagreement_score":0.019984808,"about_ca_system_score_codex":0.0012691487,"about_ca_system_score_gemma":0.00060407346,"threshold_uncertainty_score":0.039736986},"labels":[],"label_agreement":null},{"id":"W4232747211","doi":"10.1079/9781789240214.0162","title":"Biplot analysis of multi-environment trial data.","year":2020,"lang":"en","type":"book-chapter","venue":"CABI eBooks","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Computer science; Cultivar; Data mining; Genotype; Biotechnology; Biology; Agronomy","score_opus":0.17788417203565507,"score_gpt":0.2313896084453764,"score_spread":0.05350543640972133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232747211","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012536241,0.0057053138,0.902894,0.00072674727,0.00193276,0.00069973234,0.023131559,0.017901005,0.034472536],"genre_scores_gemma":[0.05827303,0.003926778,0.8291163,0.0008548271,0.00036799596,0.0021576253,0.035657622,0.008343878,0.061302036],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967153,0.0014177085,0.0001801061,0.0004024893,0.0011947624,0.00008964095],"domain_scores_gemma":[0.995001,0.0026219692,0.00041824393,0.0007610671,0.0010913756,0.00010628479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034108562,0.001148344,0.001278604,0.002245956,0.0004293967,0.0019843045,0.0008512338,0.00035373287,0.028868373],"category_scores_gemma":[0.008938884,0.00045122416,0.0006728048,0.004343743,0.00029760838,0.0008733518,0.00085711956,0.0014149797,0.015499965],"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":[0.00054938614,0.00016830361,0.0037558519,0.00204141,0.0003286666,0.00020426398,0.0003693621,0.0027474011,0.02498015,0.011334074,0.12672238,0.8267988],"study_design_scores_gemma":[0.00014313584,0.0006424782,0.05886644,0.0005597009,0.00024169603,0.0014645994,0.00048158574,0.048209254,0.040060375,0.03844478,0.8106489,0.00023706142],"about_ca_topic_score_codex":0.0012432401,"about_ca_topic_score_gemma":0.0031769746,"teacher_disagreement_score":0.028868373,"about_ca_system_score_codex":0.00040557206,"about_ca_system_score_gemma":0.00054952473,"threshold_uncertainty_score":0.096574366},"labels":[],"label_agreement":null},{"id":"W4241124714","doi":"10.2134/agronj2002.0990","title":"Singular-Value Partitioning in Biplot Analysis of Multienvironment Trial Data","year":2002,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":283,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Scaling; Multidimensional scaling; Eigenvalues and eigenvectors; Genotype; Gene–environment interaction; Ranking (information retrieval); Mathematics; Statistics; Biology; Computer science; Genetics; Artificial intelligence; Physics; Geometry","score_opus":0.104610950454793,"score_gpt":0.23299823803120856,"score_spread":0.12838728757641554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241124714","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.108596444,0.00037119247,0.88284546,0.000115191964,0.00013545412,0.0006521822,0.002148578,0.0038228368,0.001312713],"genre_scores_gemma":[0.2560964,0.00018061111,0.73532796,0.000059203077,0.000040755,0.0014829295,0.004711374,0.0012827849,0.0008180722],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99075526,0.005691205,0.00078214676,0.0010572135,0.0014278196,0.00028641502],"domain_scores_gemma":[0.9842063,0.00995078,0.0011065283,0.0021128738,0.0023631314,0.00026041153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008965075,0.001195577,0.0013290548,0.0040784036,0.00077264936,0.0017743863,0.000811323,0.000373301,0.0029626202],"category_scores_gemma":[0.026207227,0.00032509907,0.0012298983,0.0053616255,0.0006068341,0.0009157717,0.000957882,0.0010552232,0.001094703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002431027,0.0007378972,0.03225948,0.001415093,0.0006939542,0.0005216981,0.0022318028,0.048837747,0.04274197,0.008029894,0.011605426,0.8484941],"study_design_scores_gemma":[0.0003677136,0.0020191316,0.18397178,0.00029585246,0.00027858844,0.0007482081,0.0019496827,0.69863194,0.034319457,0.044619318,0.0322901,0.0005082153],"about_ca_topic_score_codex":0.0032014772,"about_ca_topic_score_gemma":0.0026760038,"teacher_disagreement_score":0.008965075,"about_ca_system_score_codex":0.00054824847,"about_ca_system_score_gemma":0.0009031348,"threshold_uncertainty_score":0.047412395},"labels":[],"label_agreement":null},{"id":"W4241636354","doi":"10.4141/cjps11505","title":"Advanced statistical tools and their applications to agricultural research: An introduction","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Computer science; Data science; Biology; Ecology","score_opus":0.15523665908291825,"score_gpt":0.2682240728777944,"score_spread":0.11298741379487612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241636354","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005995516,0.17272103,0.8107866,0.0058962014,0.0041948035,0.00012714119,0.00053745974,0.0010875695,0.004049655],"genre_scores_gemma":[0.009391869,0.1734864,0.78707206,0.005673447,0.016814383,0.00082198466,0.0005886481,0.00067211845,0.0054789525],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9906093,0.005257138,0.0012158682,0.00097364857,0.0017696042,0.00017447435],"domain_scores_gemma":[0.93900734,0.054104254,0.0010218429,0.0015193778,0.0038143643,0.0005327042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012758022,0.0032429858,0.0032698277,0.006498898,0.0008654774,0.0042681084,0.0029428184,0.005064384,0.006312193],"category_scores_gemma":[0.03029185,0.0019785243,0.003443174,0.008318586,0.004327315,0.0054747863,0.002187934,0.009960399,0.005737271],"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":[0.00012410339,0.00033442889,0.0014450275,0.0061548674,0.00043615498,0.00073476083,0.00057457935,0.014084508,0.0031025584,0.298849,0.12060637,0.5535537],"study_design_scores_gemma":[0.00006007184,0.0002664847,0.0020232468,0.001758732,0.0001425779,0.0019760195,0.00014641158,0.026466053,0.0011963067,0.57107455,0.3945326,0.0003569903],"about_ca_topic_score_codex":0.0026790868,"about_ca_topic_score_gemma":0.004098072,"teacher_disagreement_score":0.012758022,"about_ca_system_score_codex":0.0015027885,"about_ca_system_score_gemma":0.0022019509,"threshold_uncertainty_score":0.06747162},"labels":[],"label_agreement":null},{"id":"W4242569367","doi":"10.2135/cropsci2002.6190","title":"Biplots of Linear‐Bilinear Models for Studying Crossover Genotype × Environment Interaction","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Cultivar; Multiplicative function; Biology; Mathematics; Bilinear interpolation; Statistics; Botany; Genotype; Genetics","score_opus":0.12705883143835786,"score_gpt":0.2507497424297656,"score_spread":0.12369091099140775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242569367","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":[0.03501888,0.0001728516,0.9525522,0.00011307596,0.00014092769,0.00042881034,0.003905461,0.005442694,0.002225129],"genre_scores_gemma":[0.27410743,0.00028271222,0.70154274,0.00018492035,0.00006986063,0.0035817435,0.00991075,0.0038004706,0.006519283],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9918371,0.0055882204,0.00031101963,0.00097081304,0.0009748944,0.00031806805],"domain_scores_gemma":[0.9836637,0.011653259,0.001075594,0.001928617,0.0013742817,0.0003044571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007161083,0.0023007067,0.0016646612,0.003537671,0.00068141846,0.0015496572,0.0016159028,0.0007167008,0.017305916],"category_scores_gemma":[0.020175358,0.00086524157,0.0025489633,0.0050832387,0.00065022573,0.0012099105,0.0017469758,0.0030119137,0.0030307567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059928703,0.0023547816,0.020746449,0.0030442567,0.0018161347,0.0005976826,0.0029446464,0.2562334,0.06700719,0.06633103,0.039855618,0.533076],"study_design_scores_gemma":[0.00033198213,0.0014795061,0.043517295,0.00015897173,0.00021670542,0.00028978955,0.00053929724,0.8684374,0.012452579,0.03909088,0.033113286,0.00037221835],"about_ca_topic_score_codex":0.0057787807,"about_ca_topic_score_gemma":0.0053765015,"teacher_disagreement_score":0.017305916,"about_ca_system_score_codex":0.0012404439,"about_ca_system_score_gemma":0.0012214438,"threshold_uncertainty_score":0.05789405},"labels":[],"label_agreement":null},{"id":"W4244083443","doi":"10.5539/ijsp.v5n6p133","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 5, No. 6","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Genetics and Plant Breeding","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":"Statistics; Probability and statistics; Editorial board; Political science; Library science; Mathematics; Computer science","score_opus":0.03861659023880197,"score_gpt":0.2766261767559571,"score_spread":0.2380095865171551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244083443","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009120067,0.0033106117,0.002534088,0.09419416,0.8965807,0.00016308996,0.000530902,0.0003681372,0.0022269944],"genre_scores_gemma":[0.0055653327,0.006898162,0.0063896547,0.083051905,0.84676075,0.00078091316,0.0012403496,0.0015356303,0.04777738],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9681695,0.007238285,0.0057102083,0.0027837257,0.015136406,0.0009617886],"domain_scores_gemma":[0.3761318,0.04677646,0.01216747,0.007737581,0.5469376,0.010249066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031110913,0.0024132563,0.0036145153,0.0076550795,0.003120946,0.007635855,0.0039730337,0.005978363,0.06582468],"category_scores_gemma":[0.34794208,0.0010174972,0.003296506,0.0042093173,0.0021222844,0.0053448225,0.0027483697,0.010244192,0.04049395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015327369,0.000003004935,0.000073049734,0.00015787066,0.000008053449,0.000035175013,0.000029031944,0.000014390603,0.000026116853,0.00030002592,0.99528116,0.004056663],"study_design_scores_gemma":[0.000028182483,0.000021095912,0.000562168,0.0007310702,0.000033179822,0.00047030937,0.00015439127,0.0002941635,0.00014012953,0.001894528,0.9956195,0.000051124633],"about_ca_topic_score_codex":0.0027732367,"about_ca_topic_score_gemma":0.004354368,"teacher_disagreement_score":0.06582468,"about_ca_system_score_codex":0.0038312788,"about_ca_system_score_gemma":0.00923426,"threshold_uncertainty_score":0.22020555},"labels":[],"label_agreement":null},{"id":"W4247589310","doi":"10.1016/b978-0-12-394437-5.00212-6","title":"Maize: Breeding","year":2016,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Germplasm; Agronomy; Plant reproductive morphology; Biology; Abiotic component; Population; Grain yield; Grain quality; Resistance (ecology); Plant breeding; Biotechnology; Horticulture; Ecology","score_opus":0.028685890542220437,"score_gpt":0.1970214158239868,"score_spread":0.16833552528176637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247589310","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004550034,0.075540595,0.02071813,0.0033233757,0.0017358024,0.00007070792,0.0006892315,0.0011938553,0.89217824],"genre_scores_gemma":[0.01624895,0.03786799,0.01016783,0.00094406056,0.00058119796,0.000045997527,0.0008061201,0.00032606418,0.9330118],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99991524,0.000007361694,0.000003847352,0.000022542128,0.000043276897,0.00000780547],"domain_scores_gemma":[0.9999765,0.0000041986336,0.0000031528655,0.0000051572515,0.0000065665126,0.000004423967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001803032,0.00062412216,0.00026237237,0.00086018274,0.00036270104,0.0013065035,0.00044754532,0.0005905756,0.04680088],"category_scores_gemma":[0.00017565327,0.00019107151,0.0001487349,0.0011180163,0.0004439337,0.0011351218,0.0008162055,0.00080852606,0.024864778],"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":[0.000027299078,0.00003346093,0.00013838914,0.00027826728,0.000005036461,0.00007116641,0.0001721788,0.0002662869,0.013611844,0.063572,0.10048816,0.82133585],"study_design_scores_gemma":[0.0000021827382,0.000006979036,0.00028815004,0.00005313821,0.0000026047385,0.00009899747,0.000021481677,0.00004415811,0.00058644725,0.0051274993,0.9937662,0.0000022607794],"about_ca_topic_score_codex":0.0014373179,"about_ca_topic_score_gemma":0.0034201662,"teacher_disagreement_score":0.04680088,"about_ca_system_score_codex":0.0006435423,"about_ca_system_score_gemma":0.00046969412,"threshold_uncertainty_score":0.15656453},"labels":[],"label_agreement":null},{"id":"W4248249635","doi":"10.1007/s11336-015-9483-8","title":"BEH E. J., &amp; LOMBARDO R. (2014). <i>Correspondence Analysis: Theory, Practice and New Strategies</i>. Wiley, 592 pp. US $105.00. ISBN 978-1-119-95324-1","year":2015,"lang":"en","type":"article","venue":"Psychometrika","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Econometrics; Statistics; Computer science; Psychology","score_opus":0.059543079310162866,"score_gpt":0.2780574962028256,"score_spread":0.21851441689266274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248249635","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":[0.0028900744,0.7302175,0.068894245,0.058653835,0.005604626,0.00015278252,0.0030354094,0.00070751645,0.129844],"genre_scores_gemma":[0.044344973,0.7616366,0.09485086,0.0062998733,0.0021345543,0.00022259075,0.0017758654,0.0007012162,0.08803345],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938667,0.0001612635,0.000058559588,0.00007892463,0.0002850951,0.000029437806],"domain_scores_gemma":[0.9954503,0.003237465,0.00025301756,0.00014188328,0.00079543516,0.00012192673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024629098,0.001021782,0.00073102047,0.0039043059,0.0013428406,0.0031836487,0.0011945763,0.0019647868,0.0428676],"category_scores_gemma":[0.0109055415,0.00074755447,0.00039094134,0.0034413307,0.0026477443,0.005603773,0.0012669289,0.001806061,0.019615121],"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":[0.00003046875,0.000023374747,0.00056446454,0.0011501807,0.000023874858,0.00008690847,0.0006487555,0.00018011629,0.00033177843,0.014886497,0.31115937,0.6709141],"study_design_scores_gemma":[0.000014304316,0.00004214561,0.0047373385,0.0026982091,0.00006287648,0.00061391573,0.0010572402,0.0005844813,0.0011807343,0.068912484,0.92004645,0.000049914823],"about_ca_topic_score_codex":0.011363862,"about_ca_topic_score_gemma":0.028324774,"teacher_disagreement_score":0.0428676,"about_ca_system_score_codex":0.0015213991,"about_ca_system_score_gemma":0.0021935136,"threshold_uncertainty_score":0.14340639},"labels":[],"label_agreement":null},{"id":"W4252406051","doi":"10.1016/b978-0-08-100596-5.00212-2","title":"Maize | Breeding","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology","score_opus":0.059536078334840904,"score_gpt":0.21749867680330495,"score_spread":0.15796259846846405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252406051","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002823258,0.031884376,0.008941953,0.0022232349,0.0011847107,0.000046581714,0.0005517327,0.0010506115,0.9512935],"genre_scores_gemma":[0.014494346,0.024290396,0.004968012,0.0008912781,0.00054079783,0.000043244814,0.0007363416,0.0003479964,0.95368755],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998956,0.000009580489,0.000004046102,0.00002657268,0.00005209753,0.0000121262665],"domain_scores_gemma":[0.99997044,0.000006683518,0.0000036937608,0.000007517048,0.0000055120972,0.000006146245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018788231,0.0006420531,0.00031058447,0.00073109777,0.00042812008,0.0014454611,0.0005049892,0.0006788837,0.08817854],"category_scores_gemma":[0.00018938558,0.0002205988,0.00016856594,0.001068434,0.0004998618,0.0012084311,0.000993229,0.000982467,0.048637457],"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":[0.000032068558,0.00003712692,0.00013279758,0.00029774138,0.000005340515,0.000073431496,0.00013538811,0.0001847008,0.011393882,0.06861527,0.09808068,0.8210116],"study_design_scores_gemma":[0.000002165915,0.0000056210165,0.00027474394,0.000048008704,0.0000018201996,0.000072370094,0.000015247599,0.000030765153,0.0005233531,0.004854868,0.994169,0.000001952711],"about_ca_topic_score_codex":0.0015771466,"about_ca_topic_score_gemma":0.0034902126,"teacher_disagreement_score":0.08817854,"about_ca_system_score_codex":0.00067513407,"about_ca_system_score_gemma":0.00044840452,"threshold_uncertainty_score":0.2949866},"labels":[],"label_agreement":null},{"id":"W4282018386","doi":"10.1101/2022.06.07.495047","title":"The genomics of linkage drag in sunflower","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Saskatchewan; University of British Columbia","funders":"","keywords":"Biology; Introgression; Sunflower; Helianthus; Population genomics; Genomics; Genetics; Population; Gene; Genome; Agronomy","score_opus":0.01767047734105909,"score_gpt":0.18966822979343365,"score_spread":0.17199775245237456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282018386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997865,0.00013679068,0.001406936,0.000013350531,0.000004848018,0.0000054164434,0.0002930626,0.000033209435,0.00024130271],"genre_scores_gemma":[0.9953467,0.00016696283,0.0024263486,0.000057682322,0.000013501753,0.000014810541,0.001325248,0.000031984426,0.0006166488],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998596,0.000017112512,0.000007740337,0.00005567253,0.00004131991,0.000018567785],"domain_scores_gemma":[0.99978787,0.000057464902,0.0000875445,0.00001517441,0.000018743402,0.000033172888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033808014,0.00027863492,0.00022171024,0.0006027004,0.00023299431,0.00024492003,0.00016953422,0.00024645575,0.0006864315],"category_scores_gemma":[0.00024532856,0.00012490276,0.0003096608,0.00055065285,0.00014379938,0.00013259651,0.0002731648,0.0004151966,0.00008108392],"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":[0.00029559567,0.000058036618,0.029135965,0.00007954772,0.00010492081,0.00050683384,0.00023072574,0.0016616175,0.95003366,0.00036428336,0.00017632905,0.017352521],"study_design_scores_gemma":[0.00004363607,0.0003951584,0.9183439,0.000030952466,0.00018978449,0.0012041971,0.00017833586,0.010243545,0.063363135,0.0005930254,0.005370035,0.00004427888],"about_ca_topic_score_codex":0.0018238593,"about_ca_topic_score_gemma":0.0029321692,"teacher_disagreement_score":0.0018238593,"about_ca_system_score_codex":0.00030945303,"about_ca_system_score_gemma":0.0001833075,"threshold_uncertainty_score":0.0036264658},"labels":[],"label_agreement":null},{"id":"W4283369339","doi":"10.4025/actasciagron.v44i1.55194","title":"Combining ability and potential of s1 popcorn progenies for early selection","year":2022,"lang":"en","type":"article","venue":"Acta Scientiarum Agronomy","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ingredion (Canada)","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Randomized block design; Bonito; Diallel cross; Selection (genetic algorithm); Biology; Grain yield; Restricted maximum likelihood; Animal science; Breeding program; Horticulture; Mathematics; Maximum likelihood; Statistics; Cultivar","score_opus":0.015607660303865217,"score_gpt":0.18901104945536604,"score_spread":0.17340338915150083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283369339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748695,0.000096032076,0.0015066147,0.000004349789,9.458553e-7,0.000010501698,0.0004181343,0.000037148264,0.00043920908],"genre_scores_gemma":[0.9935415,0.00013216143,0.0030599695,0.000011731337,0.0000019126458,0.000022481063,0.0023039372,0.000053838106,0.00087258744],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996613,0.00004849088,0.000028547616,0.00011359395,0.00010859749,0.000039418035],"domain_scores_gemma":[0.9990103,0.00043605742,0.00022704981,0.00008504841,0.00012567673,0.00011581561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008341316,0.00081263913,0.00045141001,0.0014835834,0.00027091688,0.00049475883,0.00028527796,0.00028467478,0.0011802062],"category_scores_gemma":[0.00090909586,0.00023575181,0.00066553423,0.00070387014,0.00016883586,0.00021822001,0.00034622243,0.00031533767,0.0004936123],"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":[0.0006968073,0.0001352034,0.38683516,0.0001198183,0.00029838632,0.00059093884,0.00024939174,0.0028757984,0.57741445,0.0001455991,0.00007440056,0.030564087],"study_design_scores_gemma":[0.000013400024,0.0007656501,0.95135987,0.000017486613,0.00023472996,0.00069011893,0.00013622348,0.004199692,0.041492414,0.000092674774,0.00095790694,0.000039880597],"about_ca_topic_score_codex":0.0024309037,"about_ca_topic_score_gemma":0.004960736,"teacher_disagreement_score":0.0024309037,"about_ca_system_score_codex":0.00026630238,"about_ca_system_score_gemma":0.00026699388,"threshold_uncertainty_score":0.0048335195},"labels":[],"label_agreement":null},{"id":"W4287034660","doi":"","title":"Assessment of genetic diversity in chinese hulless barley accessions for qualitative traits","year":2021,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Genetic diversity; Diversity (politics); Biology; Biotechnology; Evolutionary biology; Sociology; Population; Demography","score_opus":0.41127929169167315,"score_gpt":0.5663350800126662,"score_spread":0.15505578832099304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287034660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997228,0.000022529535,0.00008087157,0.0000035005435,6.57053e-7,0.0000023765326,0.000061194165,0.0000012026957,0.000104825],"genre_scores_gemma":[0.9991654,0.000034743745,0.00025707335,0.000006119397,0.0000018035677,0.000008490433,0.00032807045,0.0000016769994,0.00019665736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997018,0.00004610859,0.000038260743,0.00009467025,0.000076312805,0.000042900047],"domain_scores_gemma":[0.9996191,0.000082459796,0.00009361026,0.000053056665,0.00007391021,0.00007773556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004990601,0.00024667318,0.0002996946,0.001519569,0.0005051312,0.00031482038,0.0001900047,0.00016304456,0.00053021254],"category_scores_gemma":[0.0004903717,0.00012989402,0.0003485094,0.0014020163,0.00033717966,0.00009206331,0.00027760954,0.000176205,0.00007516108],"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":[0.0005037368,0.00006571571,0.83684486,0.00009406619,0.00035123376,0.000712642,0.0027404863,0.00048427246,0.13744867,0.00018888628,0.00010730859,0.020458128],"study_design_scores_gemma":[0.000006692148,0.000047163543,0.99784327,0.000003815494,0.00003133989,0.00016083704,0.00023546806,0.0002270711,0.0012189784,0.000030899206,0.0001882175,0.000006298748],"about_ca_topic_score_codex":0.00721971,"about_ca_topic_score_gemma":0.012187936,"teacher_disagreement_score":0.00721971,"about_ca_system_score_codex":0.00039964032,"about_ca_system_score_gemma":0.0003612319,"threshold_uncertainty_score":0.014355361},"labels":[],"label_agreement":null},{"id":"W4289531656","doi":"10.1088/1755-1315/1060/1/012094","title":"Combining Ability Determination of Chemical Structures and Grain Yield of Grains (Triticum Aestivum. L)","year":2022,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Hybrid; Gluten; Grain yield; Trait; Biology; Yield (engineering); Agronomy; Mathematics; Horticulture; Animal science; Food science","score_opus":0.020336052224679962,"score_gpt":0.18937437812351726,"score_spread":0.1690383258988373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289531656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99586797,0.0001765764,0.0018525099,0.000011140821,0.0000070033007,0.00001719961,0.0008874186,0.00004325025,0.00113698],"genre_scores_gemma":[0.9911883,0.00010882895,0.0027796277,0.000016661947,0.0000034856494,0.000029840896,0.0030024275,0.000028622053,0.0028422372],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997168,0.000040760668,0.000027879776,0.000106514315,0.000080022415,0.000028000804],"domain_scores_gemma":[0.99977654,0.00002760538,0.000070703674,0.000031713476,0.00003882342,0.000054631295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002733542,0.0004494416,0.0002638733,0.0006053365,0.00018048346,0.0002580052,0.00015821627,0.00016316058,0.0017540349],"category_scores_gemma":[0.00018351579,0.00013261863,0.00035994075,0.00038441847,0.00011302208,0.00011274307,0.0002491356,0.00034596326,0.00054710265],"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":[0.000104974766,0.000045012588,0.005974045,0.000017971932,0.000037527232,0.000035065164,0.00005503944,0.000053384836,0.9915202,0.00002860391,0.00003459621,0.0020936113],"study_design_scores_gemma":[0.000029412224,0.00165372,0.7555087,0.000010319956,0.00030160946,0.0005538291,0.00011963376,0.0010401111,0.23689115,0.000085028885,0.0037801936,0.000026326255],"about_ca_topic_score_codex":0.0008806927,"about_ca_topic_score_gemma":0.0013961503,"teacher_disagreement_score":0.0017540349,"about_ca_system_score_codex":0.00021503797,"about_ca_system_score_gemma":0.00009383489,"threshold_uncertainty_score":0.005867839},"labels":[],"label_agreement":null},{"id":"W4297852447","doi":"10.1101/2022.09.08.507215","title":"Dissection of genotype-by-environment interaction and simultaneous selection for grain yield and stability in faba bean ( <i>Vicia faba</i> L.)","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Agriculture - Saskatchewan","keywords":"Ammi; Biplot; Vicia faba; Stability (learning theory); Statistics; Gene–environment interaction; Grain yield; Best linear unbiased prediction; Mathematics; Selection (genetic algorithm); Biology; Genotype; Yield (engineering); Biotechnology; Agronomy; Computer science; Genetics; Machine learning","score_opus":0.018067134755169027,"score_gpt":0.19579609542939896,"score_spread":0.17772896067422994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297852447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984213,0.00007154841,0.0011076938,0.000011714583,0.0000024250585,0.0000051262123,0.00025853445,0.000024474572,0.00009726984],"genre_scores_gemma":[0.9976979,0.000022152957,0.0013357872,0.000016278365,0.0000013293155,0.000007309702,0.0006101541,0.00002163479,0.00028758709],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993481,0.00017934474,0.000038641516,0.00020436353,0.00011509107,0.00011450753],"domain_scores_gemma":[0.99939466,0.00018471123,0.00015136716,0.000045210123,0.00011488444,0.00010916134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00121788,0.0004000089,0.00051008846,0.0008005324,0.0003703294,0.000547069,0.00034774505,0.000240053,0.0004600984],"category_scores_gemma":[0.00062543637,0.0001904629,0.00084982975,0.0008259353,0.00026495504,0.0001755215,0.00034281335,0.00036657593,0.000119958815],"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":[0.0010231296,0.00013488081,0.23273394,0.000053787597,0.00041513503,0.00030579936,0.0004564955,0.0012965667,0.75143194,0.00017827767,0.00015445238,0.011815646],"study_design_scores_gemma":[0.000006397947,0.00017116252,0.9884829,0.0000021777055,0.000075216645,0.00008290166,0.00013701178,0.0028079995,0.007818442,0.000030634325,0.00036944455,0.000015687092],"about_ca_topic_score_codex":0.03655114,"about_ca_topic_score_gemma":0.06415594,"teacher_disagreement_score":0.03655114,"about_ca_system_score_codex":0.001520124,"about_ca_system_score_gemma":0.00076780474,"threshold_uncertainty_score":0.07267678},"labels":[],"label_agreement":null},{"id":"W4301257771","doi":"","title":"A kernel method for modelling interval censored competing risks: theory and methods","year":2009,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Kernel (algebra); Mathematics; Interval (graph theory); Applied mathematics; Statistics; Mathematical economics; Econometrics; Discrete mathematics; Combinatorics","score_opus":0.04305496538304186,"score_gpt":0.28892741096415675,"score_spread":0.24587244558111487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301257771","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00072408334,0.000107276304,0.99896646,0.000037226113,0.000010635395,0.000015355245,0.000016413853,0.000044848955,0.00007765902],"genre_scores_gemma":[0.077424556,0.00067728735,0.91905457,0.00010572603,0.00010696872,0.0004032363,0.00020496777,0.00016496849,0.0018577478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99598074,0.0025961532,0.00020819675,0.0004273334,0.0006432009,0.00014439134],"domain_scores_gemma":[0.98282546,0.013057357,0.0010320061,0.0013033171,0.0015105599,0.0002712845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011756882,0.000810777,0.0013301754,0.0017634127,0.000501873,0.0015456975,0.0035004634,0.0017754084,0.0024586057],"category_scores_gemma":[0.024475692,0.00067549996,0.001737686,0.0017878353,0.0013689297,0.0022646778,0.0022662997,0.0029114694,0.00073697895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001407354,0.00013459632,0.0037666247,0.0003544856,0.00034639318,0.00022938247,0.00037099814,0.39895517,0.0020240082,0.4449137,0.0029064338,0.14585753],"study_design_scores_gemma":[0.00001811761,0.000035368652,0.0003387796,0.000025788628,0.00002711938,0.00009857182,0.00001809385,0.90751153,0.00032981628,0.089093745,0.002464265,0.000038782087],"about_ca_topic_score_codex":0.0025887943,"about_ca_topic_score_gemma":0.0013869274,"teacher_disagreement_score":0.011756882,"about_ca_system_score_codex":0.00095421146,"about_ca_system_score_gemma":0.0015529644,"threshold_uncertainty_score":0.062177062},"labels":[],"label_agreement":null},{"id":"W4307515308","doi":"10.1101/2022.10.28.514212","title":"Relatedness coefficients and their applications for triplets and quartets of genetic markers","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Locus (genetics); Identity by descent; Covariance; Cumulant; Genetic marker; Genetics; Biology; Estimator; Allele; Statistics; Mathematics; Gene; Haplotype","score_opus":0.016962364404639246,"score_gpt":0.1938944552833851,"score_spread":0.17693209087874584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307515308","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08883747,0.0006937722,0.90629756,0.00025689485,0.00009663175,0.000049608643,0.00016385027,0.00026157894,0.0033424976],"genre_scores_gemma":[0.47898132,0.0009636394,0.51437086,0.00011119641,0.00017450404,0.00010842433,0.00034607976,0.00030808063,0.004635858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985942,0.0005651877,0.00009681447,0.0002809256,0.00036470697,0.000098154494],"domain_scores_gemma":[0.9920541,0.0052422876,0.0008724469,0.00085669896,0.00068284216,0.00029170714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002927862,0.00036968122,0.0006120192,0.002424416,0.00042301285,0.0010026757,0.0008385173,0.0006107852,0.0021995134],"category_scores_gemma":[0.012779728,0.00027837898,0.00049535837,0.0027844117,0.00090938515,0.0014139499,0.0013171447,0.0014396146,0.000571688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014218713,0.00014192743,0.010751126,0.00023381777,0.0000822986,0.00050404196,0.0005350481,0.15420775,0.018855635,0.5548977,0.003141719,0.25650665],"study_design_scores_gemma":[0.000013859252,0.00004038705,0.004610759,0.000050991493,0.000019748868,0.0003147683,0.00009758128,0.6821634,0.003490728,0.30248812,0.006652803,0.00005681843],"about_ca_topic_score_codex":0.0012700072,"about_ca_topic_score_gemma":0.001297227,"teacher_disagreement_score":0.002927862,"about_ca_system_score_codex":0.00051828445,"about_ca_system_score_gemma":0.00052680814,"threshold_uncertainty_score":0.015484154},"labels":[],"label_agreement":null},{"id":"W4308579539","doi":"10.3390/plants11213003","title":"Multiple-Traits Selection in White Guinea Yam (Dioscorea rotundata) Genotypes","year":2022,"lang":"en","type":"article","venue":"Plants","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ghana; International Development Research Centre; Bill and Melinda Gates Foundation","keywords":"Dioscorea rotundata; Ideotype; Best linear unbiased prediction; Biology; Trait; Heritability; Genetic gain; Cultivar; Breeding program; Dioscorea; Biotechnology; Selection (genetic algorithm); Horticulture; Genetic variation; Genetics; Medicine","score_opus":0.0274624080092611,"score_gpt":0.19763947869852708,"score_spread":0.17017707068926596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308579539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997595,0.00006919026,0.0018561827,0.0000111418185,0.000006700611,0.00002185206,0.00011813472,0.00003303791,0.00028874018],"genre_scores_gemma":[0.9796957,0.00016607589,0.017141081,0.00004389357,0.000004871164,0.00009625384,0.0007146784,0.00005877531,0.0020786964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996995,0.000079042606,0.00003232852,0.000111162844,0.00004373719,0.000034299082],"domain_scores_gemma":[0.999772,0.000072025425,0.00006507985,0.000024216894,0.000024482757,0.000042305797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050507515,0.00039034442,0.0003951075,0.000502678,0.00017763043,0.00028292794,0.00023929299,0.00018199609,0.0011475475],"category_scores_gemma":[0.00025744396,0.00016892071,0.00036334162,0.00027184057,0.00012678394,0.00014802693,0.00037347843,0.00035026108,0.00017204515],"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":[0.00037017613,0.00012150659,0.004833888,0.00004899367,0.00003693087,0.0001619185,0.00007738853,0.0001833049,0.9831108,0.00010997188,0.000021533717,0.010923591],"study_design_scores_gemma":[0.00022422629,0.0070433645,0.5671671,0.00006109957,0.0005913649,0.0024106572,0.0006934812,0.008613997,0.4050912,0.0003317486,0.007656503,0.00011525769],"about_ca_topic_score_codex":0.0005411699,"about_ca_topic_score_gemma":0.0017870417,"teacher_disagreement_score":0.0011475475,"about_ca_system_score_codex":0.00018481839,"about_ca_system_score_gemma":0.00015984105,"threshold_uncertainty_score":0.0038388968},"labels":[],"label_agreement":null},{"id":"W4308999688","doi":"10.5539/jas.v14n12p59","title":"Parametric Models of Covariance Matrices for Repeated Measures: A Simulation Study on Fit, Error and Statistical Power in Mixed Linear Models","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Covariance; Type I and type II errors; Statistics; Mathematics; Context (archaeology); Repeated measures design; Covariance matrix; Mixed model; Statistical power; Bayesian information criterion; Linear model; Parametric statistics; Statistical hypothesis testing; Information Criteria; Model selection","score_opus":0.10700571270085123,"score_gpt":0.2918453213289414,"score_spread":0.18483960862809018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308999688","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":[0.2901669,0.000714386,0.7056947,0.00044531008,0.000057600188,0.0006880221,0.0001707614,0.00025161175,0.0018106779],"genre_scores_gemma":[0.7722077,0.00038423296,0.22413503,0.00013176393,0.00003539877,0.0016599481,0.00036284258,0.00010559014,0.0009773985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9456656,0.04666863,0.0010616884,0.0026040496,0.0030965996,0.0009034013],"domain_scores_gemma":[0.46780813,0.5061715,0.008872207,0.009985941,0.006484474,0.00067760836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.10384218,0.0016868374,0.0028793842,0.0026583376,0.0014385984,0.0021620165,0.0025726527,0.0027120742,0.0014630647],"category_scores_gemma":[0.26780397,0.0012126762,0.0047483556,0.0024266578,0.0033328577,0.0039078863,0.0019498996,0.0043042465,0.00026112955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001218165,0.0005489079,0.021164276,0.00028454963,0.00063580053,0.0004195653,0.0015247014,0.8867485,0.0011675818,0.05948731,0.0005651298,0.026235577],"study_design_scores_gemma":[0.00008617586,0.00044495455,0.0020007293,0.00006876143,0.000094166695,0.00012333227,0.00015378046,0.9731641,0.0005920578,0.0228259,0.00038506798,0.000061016934],"about_ca_topic_score_codex":0.0051195035,"about_ca_topic_score_gemma":0.0037754744,"teacher_disagreement_score":0.10384218,"about_ca_system_score_codex":0.0023910087,"about_ca_system_score_gemma":0.0021880432,"threshold_uncertainty_score":0.54917645},"labels":[],"label_agreement":null},{"id":"W4311188504","doi":"10.1002/agj2.21268","title":"Dissection of genotype‐by‐environment interaction and simultaneous selection for grain yield and stability in faba bean ( <i>Vicia faba</i> L.)","year":2022,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ammi; Biplot; Vicia faba; Gene–environment interaction; Stability (learning theory); Biology; Statistics; Grain yield; Genotype; Selection (genetic algorithm); Interaction; Mathematics; Best linear unbiased prediction; Agronomy; Biotechnology; Genetics; Computer science","score_opus":0.018277066327192868,"score_gpt":0.19494106329385197,"score_spread":0.1766639969666591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311188504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854255,0.00006303039,0.0010176665,0.000010516211,0.0000022685672,0.000004993469,0.0002377719,0.000021747082,0.00009948429],"genre_scores_gemma":[0.99788576,0.000020859685,0.0011977557,0.00001578109,0.0000012806383,0.000007395989,0.0005653498,0.00002119339,0.00028468622],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993759,0.00017133514,0.00003686395,0.00019481695,0.0001094614,0.0001117116],"domain_scores_gemma":[0.9994242,0.00017676137,0.00014312989,0.0000437806,0.00010553021,0.00010660466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011621547,0.00039300436,0.0004995738,0.0007902375,0.0003578494,0.0005295229,0.0003252885,0.0002475664,0.00045148513],"category_scores_gemma":[0.00059825723,0.00020152864,0.0008500552,0.00082186895,0.00026050938,0.00016858362,0.0003396926,0.00036617008,0.00011957623],"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":[0.0010104311,0.00013408938,0.22632541,0.000049781185,0.0004177201,0.00031411787,0.00048137942,0.001321506,0.7584981,0.00018365464,0.00015248668,0.011111287],"study_design_scores_gemma":[0.0000062035624,0.00015904255,0.9888608,0.000002163917,0.00007133317,0.00008631109,0.00013837968,0.0027586943,0.0075204484,0.000028825385,0.00035242422,0.000015421645],"about_ca_topic_score_codex":0.03295474,"about_ca_topic_score_gemma":0.057509135,"teacher_disagreement_score":0.03295474,"about_ca_system_score_codex":0.0014746947,"about_ca_system_score_gemma":0.00074638915,"threshold_uncertainty_score":0.06552589},"labels":[],"label_agreement":null},{"id":"W4312032633","doi":"10.1002/csc2.20895","title":"Mega‐environment analysis and breeding for specific adaptation","year":2022,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Brandon University; Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Biology; Adaptation (eye); Selection (genetic algorithm); Heritability; Mega-; Gene–environment interaction; Crop; Biotechnology; Adaptability; Plant breeding; Cultivar; Statistics; Genotype; Agronomy; Computer science; Mathematics; Evolutionary biology; Ecology; Genetics; Artificial intelligence","score_opus":0.04947444562530032,"score_gpt":0.2018707471188008,"score_spread":0.15239630149350047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312032633","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":[0.31599012,0.00071308285,0.63729703,0.0010928067,0.00012316923,0.00023500482,0.027156582,0.009715477,0.007676635],"genre_scores_gemma":[0.630265,0.0001736174,0.352664,0.00012435632,0.000026883505,0.00032452028,0.014050838,0.0013767951,0.0009939207],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968923,0.0018780237,0.00014431069,0.0006907888,0.00025520998,0.00013938124],"domain_scores_gemma":[0.9920941,0.0051196795,0.0007335533,0.0013194077,0.00047424834,0.00025897633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038799806,0.000522974,0.00089570903,0.0030248598,0.0005404918,0.0016673013,0.00091392634,0.0003771292,0.0050438754],"category_scores_gemma":[0.013953382,0.00030656648,0.0012279827,0.0044568027,0.0004934881,0.0008963772,0.0018881273,0.0011075679,0.000832269],"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":[0.0022054552,0.0002758772,0.3125098,0.0012974195,0.0038989864,0.0011319381,0.0018812823,0.12817809,0.022643404,0.06546867,0.047587875,0.4129212],"study_design_scores_gemma":[0.00016528348,0.0004613639,0.3292825,0.00019698669,0.0006705389,0.00048608243,0.0013799933,0.4717721,0.009596269,0.094883144,0.09092384,0.00018197548],"about_ca_topic_score_codex":0.0019630594,"about_ca_topic_score_gemma":0.0028608907,"teacher_disagreement_score":0.0050438754,"about_ca_system_score_codex":0.00052801165,"about_ca_system_score_gemma":0.00065431086,"threshold_uncertainty_score":0.020519555},"labels":[],"label_agreement":null},{"id":"W4320714806","doi":"10.1002/jsfa.12504","title":"Selection of oat (<i>Avena sativa</i> L.) drought‐tolerant genotypes based on multiple yield‐associated traits","year":2023,"lang":"en","type":"article","venue":"Journal of the Science of Food and Agriculture","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Canadian Field Crop Research Alliance","keywords":"Avena; Drought tolerance; Agronomy; Biology; Yield (engineering); Trait; Crop; Biomass (ecology); Transpiration; Photosynthesis; Botany","score_opus":0.020897341070943504,"score_gpt":0.18839630928693107,"score_spread":0.16749896821598756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320714806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99590296,0.00014820776,0.0031074407,0.000021927333,0.000008207207,0.00003344897,0.00040441946,0.00008288622,0.00029053143],"genre_scores_gemma":[0.9803224,0.00018500137,0.01602264,0.000056259745,0.000009794489,0.000057100493,0.0018336789,0.00009990493,0.0014132333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998517,0.000021444639,0.000023199835,0.000058365775,0.000024475228,0.000020815922],"domain_scores_gemma":[0.9997782,0.000029249215,0.00007532325,0.000019309167,0.00003165651,0.00006624067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031196853,0.0004303019,0.0003705199,0.00064927764,0.00023088968,0.00035657932,0.00028107013,0.000193928,0.0007146724],"category_scores_gemma":[0.00019157518,0.00016230931,0.00041673356,0.0003707114,0.00015030992,0.0001821664,0.00026014601,0.00030864362,0.00021594098],"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":[0.00012838806,0.00004328358,0.005021012,0.000029527733,0.000024702398,0.00007691307,0.000034767992,0.00011666812,0.9914234,0.00003642501,0.000027225553,0.0030377633],"study_design_scores_gemma":[0.00018586761,0.0018149666,0.63899624,0.000031925545,0.00035582096,0.0013099276,0.0003888953,0.008442112,0.34319502,0.00017616113,0.005027316,0.00007574638],"about_ca_topic_score_codex":0.0013776998,"about_ca_topic_score_gemma":0.0026990627,"teacher_disagreement_score":0.0013776998,"about_ca_system_score_codex":0.00025865887,"about_ca_system_score_gemma":0.0001690174,"threshold_uncertainty_score":0.0027393699},"labels":[],"label_agreement":null},{"id":"W4323839947","doi":"10.1590/1519-6984.270680","title":"Stability yield indices on different sweet corn hybrids based on AMMI analysis","year":2023,"lang":"en","type":"article","venue":"Brazilian Journal of Biology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap","keywords":"Biplot; Ammi; Hybrid; Fructose; Sugar; Biology; Sucrose; Yield (engineering); Agronomy; Crop; Bract; Horticulture; Crop yield; Biotechnology; Food science; Gene–environment interaction; Biochemistry; Genotype","score_opus":0.049160531617132484,"score_gpt":0.24465725988155695,"score_spread":0.19549672826442446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323839947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964373,0.00009951769,0.0018228258,0.000006378678,0.0000031858292,0.000008491576,0.00057124335,0.00005197288,0.0009990048],"genre_scores_gemma":[0.9953511,0.000042987715,0.0029827056,0.000004298802,0.0000019983586,0.00002191351,0.0011369357,0.000022543712,0.00043562378],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99971753,0.000048588692,0.00002658929,0.00006880878,0.0001149117,0.000023534416],"domain_scores_gemma":[0.99938667,0.00017079763,0.00016613331,0.000043719712,0.00017287392,0.00005987379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004107624,0.0003533985,0.0002801303,0.0017818436,0.00018280672,0.0004491142,0.00017575982,0.0001401892,0.000775657],"category_scores_gemma":[0.00070294307,0.00009399358,0.0003528427,0.0014330626,0.000119222816,0.00017655027,0.00026835976,0.00028755615,0.00018316947],"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":[0.0022088897,0.00024083686,0.36135215,0.00016038046,0.00035384743,0.00027999724,0.0004921456,0.0042279046,0.5783176,0.00042300625,0.00040880867,0.051534493],"study_design_scores_gemma":[0.000007508817,0.00037034336,0.94790965,0.000007054473,0.000085893145,0.00013306156,0.00017828663,0.0056020557,0.044885904,0.000114135546,0.00067922386,0.000026840942],"about_ca_topic_score_codex":0.0012804924,"about_ca_topic_score_gemma":0.0018267367,"teacher_disagreement_score":0.0017818436,"about_ca_system_score_codex":0.00038041183,"about_ca_system_score_gemma":0.00010221453,"threshold_uncertainty_score":0.0027601123},"labels":[],"label_agreement":null},{"id":"W4353091361","doi":"10.3390/plants12061412","title":"Gene Coexpression Analysis Identifies Genes Associated with Chlorophyll Content and Relative Water Content in Pearl Millet","year":2023,"lang":"en","type":"article","venue":"Plants","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Pearl; Gene; Biology; Content (measure theory); Genetics; Botany; Mathematics; Geography","score_opus":0.08878206330960618,"score_gpt":0.21161803821195838,"score_spread":0.1228359749023522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353091361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786276,0.00016614563,0.00071265583,0.00001603185,0.0000031117538,0.000005504924,0.0009262035,0.00002173951,0.00028587127],"genre_scores_gemma":[0.99499255,0.0001272486,0.0012810586,0.000031850093,0.000003343623,0.000020451529,0.0025510336,0.000010794438,0.0009815966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998692,0.000010102123,0.00000845986,0.00006030669,0.000029931862,0.000022015838],"domain_scores_gemma":[0.99988925,0.000025519465,0.000028643395,0.0000069697835,0.000026973572,0.00002270562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001302937,0.00018502786,0.00020656247,0.00081923156,0.00017483167,0.00028602415,0.000119253404,0.00011615381,0.00054803345],"category_scores_gemma":[0.00022539958,0.000117559146,0.0003376324,0.0010139477,0.00012663036,0.0001340124,0.0002542839,0.00022481856,0.00010833834],"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":[0.00035206438,0.00006464468,0.14142342,0.000117919255,0.00012244566,0.00036998652,0.00020812984,0.0009823968,0.8429473,0.00020138496,0.0003007179,0.012909452],"study_design_scores_gemma":[0.00001029196,0.000104553554,0.95965904,0.0000057924417,0.0000739193,0.00028248449,0.00011564937,0.0064836247,0.032183394,0.000116476294,0.00095120276,0.000013471119],"about_ca_topic_score_codex":0.0016528567,"about_ca_topic_score_gemma":0.0015639003,"teacher_disagreement_score":0.0016528567,"about_ca_system_score_codex":0.0001730669,"about_ca_system_score_gemma":0.0001837965,"threshold_uncertainty_score":0.0032864213},"labels":[],"label_agreement":null},{"id":"W4360862854","doi":"10.3390/genes14040777","title":"Machine Learning-Assisted Approaches in Modernized Plant Breeding Programs","year":2023,"lang":"en","type":"review","venue":"Genes","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Food security; Big data; Computer science; Population; Field (mathematics); Plant breeding; Artificial intelligence; Resilience (materials science); Machine learning; Biotechnology; Data science; Biology; Data mining; Agronomy; Mathematics; Agriculture; Ecology","score_opus":0.36907987214221516,"score_gpt":0.28258562405375404,"score_spread":0.08649424808846112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360862854","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015035231,0.022732923,0.92637163,0.0068937805,0.0005816314,0.00033546344,0.00073427695,0.0017222087,0.025592828],"genre_scores_gemma":[0.21974336,0.024189845,0.7394894,0.0025929592,0.0005341161,0.0007626496,0.0018656312,0.00044260317,0.010379455],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772364,0.0010907162,0.000114429706,0.0004541144,0.0004846865,0.0001324214],"domain_scores_gemma":[0.9966522,0.0021296956,0.00027842954,0.0002748115,0.0005450466,0.000119901895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004954935,0.0008174209,0.0009317088,0.0019930957,0.000674213,0.0027592396,0.002569983,0.0014584985,0.00457624],"category_scores_gemma":[0.007403666,0.00037355802,0.0009485034,0.0024345475,0.0011176462,0.0020171662,0.0017755876,0.0026409733,0.0019020884],"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":[0.00012535726,0.00031047087,0.006726684,0.0013982507,0.00023414326,0.00032132678,0.00041381968,0.08128063,0.0036859328,0.08296432,0.01254837,0.80999064],"study_design_scores_gemma":[0.00009466706,0.00032013576,0.00817595,0.0013845866,0.00024160897,0.0005243141,0.0006719725,0.4225392,0.006953858,0.329367,0.22956489,0.00016189997],"about_ca_topic_score_codex":0.0026436222,"about_ca_topic_score_gemma":0.0039160266,"teacher_disagreement_score":0.004954935,"about_ca_system_score_codex":0.0017776603,"about_ca_system_score_gemma":0.0023728057,"threshold_uncertainty_score":0.026204526},"labels":[],"label_agreement":null},{"id":"W4360992873","doi":"10.1073/pnas.2205783119","title":"The genomics of linkage drag in inbred lines of sunflower","year":2023,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"China Scholarship Council; Compute Canada; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Région Occitanie Pyrénées-Méditerranée; National Science Foundation","keywords":"Biology; Introgression; Sunflower; Helianthus; Genetics; Population; Helianthus annuus; Best linear unbiased prediction; Selection (genetic algorithm); Gene; Agronomy","score_opus":0.06113802954353879,"score_gpt":0.26597089108351557,"score_spread":0.2048328615399768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360992873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973585,0.00009614928,0.0019241708,0.00001216434,0.000005135427,0.000009968328,0.00031425274,0.000045142377,0.00023442628],"genre_scores_gemma":[0.9909503,0.00021066707,0.0048986725,0.00007336602,0.00001374373,0.00004510988,0.0030367956,0.000066659806,0.0007047966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976975,0.0000361004,0.00002169165,0.00008792159,0.00005746079,0.000027068265],"domain_scores_gemma":[0.9996829,0.00009763956,0.00012245461,0.00003348125,0.000021793814,0.000041667492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005801006,0.00040114627,0.00023224133,0.00060492125,0.0002598795,0.00020976926,0.00022060341,0.0002543748,0.00067433866],"category_scores_gemma":[0.00046348106,0.00017426113,0.0005103978,0.00053007255,0.00016840288,0.00014909929,0.000325882,0.0005508946,0.00008732862],"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":[0.0002441697,0.0000841681,0.021269483,0.00006157084,0.0001357962,0.00033758426,0.00024546782,0.0010115202,0.9603707,0.000414743,0.0000908159,0.015733976],"study_design_scores_gemma":[0.00008185476,0.0006344394,0.8915606,0.000029843604,0.0003000812,0.0013069463,0.00014269313,0.00752861,0.09294529,0.00061374105,0.004793286,0.00006247359],"about_ca_topic_score_codex":0.0014056467,"about_ca_topic_score_gemma":0.0032803644,"teacher_disagreement_score":0.0014056467,"about_ca_system_score_codex":0.00036667974,"about_ca_system_score_gemma":0.0002366215,"threshold_uncertainty_score":0.0030679107},"labels":[],"label_agreement":null},{"id":"W4367601632","doi":"10.1002/tpg2.20332","title":"Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat ( <i>Triticum aestivum</i> L.)","year":2023,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biology; Micronutrient; Best linear unbiased prediction; Linear regression; Statistics; Bayesian probability; Regression; Regression analysis; Bayes' theorem; Genomic selection; Selection (genetic algorithm); Population; Biotechnology; Agronomy; Mathematics; Genetics; Genotype; Machine learning; Computer science; Demography","score_opus":0.08265247910963577,"score_gpt":0.22401278755522988,"score_spread":0.1413603084455941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367601632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8465143,0.00064364064,0.15049596,0.000355927,0.0000215171,0.000079446836,0.0002864365,0.00049723365,0.0011055992],"genre_scores_gemma":[0.9514062,0.00023768586,0.046713833,0.00007462417,0.000016627702,0.00009521085,0.000802969,0.000053038275,0.00059978827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998602,0.0009260874,0.00007128006,0.0002213134,0.00010035337,0.00007892782],"domain_scores_gemma":[0.9945798,0.0044362075,0.0003298409,0.000116352894,0.0004426671,0.00009513452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007220441,0.00092156755,0.0008390493,0.0006361106,0.0003496252,0.0009077313,0.001029596,0.0006996632,0.00057127135],"category_scores_gemma":[0.008881747,0.00059783884,0.0009693312,0.0003059816,0.0002540566,0.0007479446,0.0006218434,0.00084062136,0.00021746273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010617633,0.000344523,0.042499047,0.000105924744,0.0004736455,0.00007887514,0.00018963542,0.8255647,0.0021707034,0.0012144767,0.00064239104,0.12565438],"study_design_scores_gemma":[0.00003558534,0.0001009989,0.004302699,0.000017720136,0.0000717914,0.000015852993,0.000020927466,0.9944028,0.00032436335,0.0006135988,0.00008042449,0.0000131996185],"about_ca_topic_score_codex":0.01287302,"about_ca_topic_score_gemma":0.010078443,"teacher_disagreement_score":0.01287302,"about_ca_system_score_codex":0.00077913,"about_ca_system_score_gemma":0.0010023729,"threshold_uncertainty_score":0.038185835},"labels":[],"label_agreement":null},{"id":"W4372319378","doi":"10.1002/csc2.21004","title":"Genetic variability of kernel phenolics in maize (<i>Zea mays</i> L.) inbreds with differing levels of resistance to gibberella ear rot","year":2023,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Chlorogenic acid; Caffeic acid; Phenolic acid; Biplot; Growing season; Gibberella; Horticulture; Botany; Coleoptile; Zea mays; Ferulic acid; Agronomy; Food science; Genotype; Fusarium; Biochemistry","score_opus":0.031921022276442224,"score_gpt":0.2215422901699389,"score_spread":0.18962126789349668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372319378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99924695,0.00005033415,0.00024169311,0.0000048018396,0.0000014081011,0.0000057016077,0.00032170676,0.000011410226,0.00011589387],"genre_scores_gemma":[0.99837106,0.000041223353,0.00040946787,0.000010056366,0.0000023502462,0.000013069811,0.0007366368,0.000018464447,0.00039761394],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99975294,0.000040911575,0.000023980476,0.00008266533,0.000056089713,0.00004339281],"domain_scores_gemma":[0.9994936,0.00008350968,0.00020205094,0.000048591202,0.00006267496,0.00010957404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041966047,0.00033403805,0.0003102938,0.0015013681,0.00021375666,0.0003991756,0.0001990248,0.00024054835,0.00075387023],"category_scores_gemma":[0.00030562765,0.00018952668,0.00041004777,0.0007479392,0.00021919594,0.0001654105,0.0003392822,0.00038596388,0.0001887476],"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":[0.00044647057,0.000056605055,0.022031626,0.000020975274,0.00009912389,0.000049868206,0.00020153198,0.00007693517,0.97555506,0.00006856355,0.000024943962,0.0013682808],"study_design_scores_gemma":[0.000012324769,0.00027160093,0.97993773,0.0000030262222,0.00005990712,0.00011467015,0.00012312476,0.0003392494,0.01870211,0.000031487863,0.00038866544,0.000016052762],"about_ca_topic_score_codex":0.0024509719,"about_ca_topic_score_gemma":0.002701635,"teacher_disagreement_score":0.0024509719,"about_ca_system_score_codex":0.0003154005,"about_ca_system_score_gemma":0.00013433276,"threshold_uncertainty_score":0.0048733354},"labels":[],"label_agreement":null},{"id":"W4379179418","doi":"10.1590/1519-6984.272093","title":"Selection of maize hybrids based on genotype × yield × trait (GYT) in different environments","year":2023,"lang":"en","type":"article","venue":"Brazilian Journal of Biology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap","keywords":"Randomized block design; Biology; Hybrid; Grain yield; Trait; Yield (engineering); Genotype; Correlation; Population; Agronomy; Selection (genetic algorithm); Horticulture; Veterinary medicine; Mathematics; Genetics; Demography; Gene","score_opus":0.027647844822974915,"score_gpt":0.2165863438344939,"score_spread":0.188938499011519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379179418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99760395,0.00012743457,0.0016209541,0.00001821702,0.000006711735,0.000025042147,0.00025157272,0.000050736064,0.00029537338],"genre_scores_gemma":[0.98552066,0.00021067649,0.011406362,0.00004332072,0.00001294029,0.000078427154,0.0014848835,0.00011585434,0.0011269115],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999271,0.00018214628,0.000051869178,0.00027767845,0.00013787477,0.0000795654],"domain_scores_gemma":[0.99939954,0.00017565399,0.00015641087,0.00007071666,0.0000757476,0.00012191297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009134436,0.000627081,0.00074529106,0.0012205383,0.00039883557,0.0004699017,0.0003752112,0.00032138507,0.0009952802],"category_scores_gemma":[0.0006705211,0.00025522217,0.00078584865,0.0008416244,0.00022447157,0.00025102208,0.00055135397,0.00044290503,0.00030469926],"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":[0.0012242447,0.00019873926,0.016538553,0.00008467896,0.00026016182,0.00038375368,0.00022740285,0.00061756023,0.96676004,0.00021700836,0.000052349114,0.013435559],"study_design_scores_gemma":[0.00029600423,0.0033241918,0.88021785,0.000029901492,0.0007950371,0.001569299,0.0007278232,0.0039094286,0.10264018,0.00033123197,0.0060073854,0.00015173477],"about_ca_topic_score_codex":0.0011723936,"about_ca_topic_score_gemma":0.0035301717,"teacher_disagreement_score":0.0012205383,"about_ca_system_score_codex":0.00044707351,"about_ca_system_score_gemma":0.00039168596,"threshold_uncertainty_score":0.0048307776},"labels":[],"label_agreement":null},{"id":"W4386491872","doi":"10.2135/cropsci2002.2100a","title":"Biplot Analysis of Diallel Data","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Diallel cross; Biology; Genotype; Biotechnology; Principal component analysis; Hybrid; Statistics; Genetics; Mathematics; Agronomy; Gene","score_opus":0.17878167335244657,"score_gpt":0.2521679827196531,"score_spread":0.07338630936720655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386491872","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09521427,0.00047261728,0.8576431,0.00026044511,0.00025698208,0.0004937489,0.025619272,0.01662705,0.0034124833],"genre_scores_gemma":[0.33135915,0.0003134222,0.62589,0.00010487003,0.00008087985,0.0011431668,0.03574759,0.002265589,0.0030952787],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99696726,0.0010790692,0.00029790858,0.0006107942,0.0008608761,0.00018399252],"domain_scores_gemma":[0.98930943,0.005342168,0.00088482624,0.0013678694,0.0028470824,0.0002486217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036510294,0.00089916796,0.00080791424,0.003632601,0.00051897083,0.0013985396,0.00049264607,0.00023303807,0.0068751536],"category_scores_gemma":[0.013205611,0.0002560792,0.0005241123,0.0036030996,0.0002622583,0.00075347634,0.00059639046,0.0010118647,0.0025669204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029632298,0.0006898618,0.029720174,0.0013488154,0.00061239576,0.00053799496,0.0014654014,0.016682282,0.0562022,0.010493255,0.04223178,0.8370527],"study_design_scores_gemma":[0.00039002052,0.0016372034,0.27792633,0.00030024344,0.00026618174,0.0013660484,0.0014447713,0.4493052,0.073639214,0.03505611,0.15819082,0.00047789616],"about_ca_topic_score_codex":0.0017811584,"about_ca_topic_score_gemma":0.0018381394,"teacher_disagreement_score":0.0068751536,"about_ca_system_score_codex":0.0004713889,"about_ca_system_score_gemma":0.0005965778,"threshold_uncertainty_score":0.022999704},"labels":[],"label_agreement":null},{"id":"W4386492227","doi":"10.54910/sabrao2023.55.4.3","title":"SELECTION OF STABLE WHEAT GENOTYPES UNDER DIFFERENT AGRO-ECOLOGICAL ZONES OF PUNJAB, PAKISTAN","year":2023,"lang":"en","type":"article","venue":"SABRAO Journal of Breeding and Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Ammi; Food security; Agriculture; Biotechnology; Crop; Biology; Grain yield; Agronomy; Crop yield; Gene–environment interaction; Genotype; Ecology","score_opus":0.034314772332550585,"score_gpt":0.23865192629656232,"score_spread":0.20433715396401173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386492227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906176,0.00003781522,0.00036696982,0.00001555217,0.0000043164496,0.000024242167,0.00018811139,0.0000059623158,0.00029523487],"genre_scores_gemma":[0.99592966,0.00011334014,0.002436394,0.000051624353,0.0000031042064,0.00008303118,0.00080045406,0.000009516988,0.0005728272],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994307,0.00012755267,0.00005883378,0.00021605927,0.00009404902,0.000072844625],"domain_scores_gemma":[0.99949753,0.00014722753,0.00013508426,0.00005683527,0.00008512105,0.00007825462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000916016,0.0003729805,0.00033414413,0.0006003973,0.00092792854,0.00066284114,0.0003652655,0.00023012725,0.00055839133],"category_scores_gemma":[0.0005533132,0.00021330205,0.0003837122,0.0009754996,0.0005102093,0.00032766332,0.00040865137,0.00050837186,0.00012563175],"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":[0.0023886184,0.0015889171,0.3993515,0.00030534714,0.00033023124,0.0023969247,0.0032696233,0.0034309907,0.5134222,0.00073901727,0.0006003566,0.072176225],"study_design_scores_gemma":[0.000049172548,0.0019009351,0.9849065,0.00001888153,0.000060426308,0.0004944296,0.0013481686,0.0008802363,0.008795327,0.00010820154,0.00140457,0.00003311183],"about_ca_topic_score_codex":0.0049985833,"about_ca_topic_score_gemma":0.016005993,"teacher_disagreement_score":0.0049985833,"about_ca_system_score_codex":0.0006241531,"about_ca_system_score_gemma":0.00086066406,"threshold_uncertainty_score":0.009939015},"labels":[],"label_agreement":null},{"id":"W4386861110","doi":"10.1002/csc2.21106","title":"Exploring the trait‐yield association patterns in different oat mega‐environments of Canada","year":2023,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Héma-Québec; Veterans Affairs Canada; Health PEI; University of Prince Edward Island; University of Saskatchewan; Brandon University; National Association of Friendship Centres","funders":"","keywords":"Biplot; Rust (programming language); Test weight; Trait; Avena; Biology; Yield (engineering); Agronomy; Crown (dentistry); Ammi; Crop; Statistics; Mathematics; Gene–environment interaction; Cultivar; Genotype","score_opus":0.10284100270204008,"score_gpt":0.1943744444122326,"score_spread":0.09153344171019251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386861110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99586284,0.00011758831,0.0010938835,0.000032949203,0.0000025594643,0.000016120808,0.0019510973,0.000038633327,0.0008842637],"genre_scores_gemma":[0.99576485,0.00006683858,0.0019904566,0.000020407488,9.641318e-7,0.000018316057,0.0015946197,0.000018801731,0.0005247271],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950445,0.000063086416,0.000024250667,0.00018435242,0.00012941912,0.00009436404],"domain_scores_gemma":[0.99906224,0.00023073895,0.00014249592,0.00006476015,0.0003651691,0.00013467473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004807917,0.00027270787,0.00039275215,0.0015157835,0.00095002365,0.0009855866,0.00038690845,0.00012864252,0.00086459995],"category_scores_gemma":[0.0010153005,0.00013655971,0.00046509295,0.0022424788,0.00050094596,0.00013249414,0.00061180955,0.00023577789,0.00006129377],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061092904,0.00004920161,0.9225137,0.000103903636,0.00048206482,0.00035022345,0.0014977516,0.0018085906,0.04149925,0.0005384631,0.0007391836,0.029806778],"study_design_scores_gemma":[0.0000035690048,0.00002039315,0.99727875,0.0000059650224,0.000030710828,0.00002561575,0.0004983369,0.00078865874,0.00049402594,0.00003658964,0.00080858683,0.000008792844],"about_ca_topic_score_codex":0.8889806,"about_ca_topic_score_gemma":0.960853,"teacher_disagreement_score":0.11101937,"about_ca_system_score_codex":0.0050531733,"about_ca_system_score_gemma":0.00469114,"threshold_uncertainty_score":0.22334635},"labels":[],"label_agreement":null},{"id":"W4387354032","doi":"","title":"MAPOD maize, a model to estimate effects of cross-pollination on gene dispersal","year":2001,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Biological dispersal; Pollination; Biology; Ecology; Pollen; Demography; Sociology","score_opus":0.022734879154910525,"score_gpt":0.2524542498956281,"score_spread":0.22971937074071758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387354032","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8420071,0.00072556705,0.15124783,0.0005133244,0.00004609305,0.00006178894,0.0028159462,0.00070225354,0.0018801562],"genre_scores_gemma":[0.9700427,0.00031845135,0.024650555,0.00004927539,0.000030329213,0.00009106017,0.0018244019,0.00013720922,0.0028560678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980325,0.000078792196,0.000007749924,0.000062068524,0.000017026787,0.00003111904],"domain_scores_gemma":[0.9976599,0.0018405425,0.00017180538,0.00011546531,0.00010828357,0.00010395292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015191792,0.00067311263,0.0009465678,0.00070047844,0.00060992147,0.0010383773,0.0014899046,0.0013316929,0.0027649493],"category_scores_gemma":[0.0053506964,0.00055087433,0.0008950688,0.0007463771,0.00050878414,0.0009491578,0.000752542,0.0007740946,0.00030138198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002999701,0.00003219027,0.0044353134,0.00006115565,0.00013778116,0.00006813881,0.000040690687,0.9844036,0.0008857806,0.0051945187,0.0005265005,0.003914439],"study_design_scores_gemma":[0.00006125187,0.0000260243,0.0011243762,0.0000033255678,0.00003082779,0.00001709302,0.0000079633855,0.9961599,0.00015047517,0.002209053,0.00020120293,0.000008512463],"about_ca_topic_score_codex":0.030990813,"about_ca_topic_score_gemma":0.022503117,"teacher_disagreement_score":0.030990813,"about_ca_system_score_codex":0.0010797982,"about_ca_system_score_gemma":0.00089683715,"threshold_uncertainty_score":0.06162083},"labels":[],"label_agreement":null},{"id":"W4387570961","doi":"10.1002/csc2.21125","title":"Genotype–environment interaction and yield stability analysis of Colombian yellow diploid potato cultivars using mixed linear models and environmental covariates","year":2023,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Covariate; Gene–environment interaction; Biology; Mixed model; Confounding; Variance (accounting); Interaction; Cultivar; Statistics; Genotype; Agronomy; Mathematics; Genetics","score_opus":0.07225265183352117,"score_gpt":0.24220745175657943,"score_spread":0.16995479992305826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387570961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753737,0.00031071357,0.023299405,0.0000542611,0.000012484612,0.000019216284,0.00055541855,0.00015054198,0.00022434135],"genre_scores_gemma":[0.9950263,0.00004473917,0.004218187,0.000007981816,0.0000026914606,0.0000331685,0.00036126908,0.000026436266,0.00027921636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787605,0.0013434605,0.00008536172,0.0005303349,0.00008981914,0.00007498733],"domain_scores_gemma":[0.9954568,0.0035464629,0.00045339298,0.00032174485,0.00014577401,0.00007578626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028033305,0.00074886886,0.00066015107,0.0008070986,0.0002246919,0.0008257205,0.0005103567,0.0002957216,0.0012805217],"category_scores_gemma":[0.0048734443,0.00022902405,0.0010713225,0.00075369177,0.00024674236,0.00028841995,0.00045536278,0.00039048193,0.000110401066],"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":[0.0027672024,0.0004272855,0.77494377,0.00042470024,0.005448714,0.00070303906,0.0005453517,0.11112257,0.028288841,0.001966309,0.00077196915,0.07259034],"study_design_scores_gemma":[0.000027764805,0.000515972,0.62025064,0.00004016518,0.00062453636,0.000109901506,0.00019558123,0.3736732,0.002443408,0.0008426892,0.0012227752,0.000053368676],"about_ca_topic_score_codex":0.013987913,"about_ca_topic_score_gemma":0.015557832,"teacher_disagreement_score":0.013987913,"about_ca_system_score_codex":0.00070887984,"about_ca_system_score_gemma":0.00044091634,"threshold_uncertainty_score":0.027812958},"labels":[],"label_agreement":null},{"id":"W4387653519","doi":"10.3390/agriculture13102005","title":"Analysis of Linkage on Interaction of Main Aspects (Genotype by Environment Interaction, Stability and Genetic Parameters) of 1000 Kernels in Maize (Zea mays L.)","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ammi; Epistasis; Gene–environment interaction; Interaction; Biology; Kernel (algebra); Genotype; Mathematics; Gene interaction; Cultivar; Additive genetic effects; Multiplicative function; Biotechnology; Agronomy; Genetics; Gene; Heritability; Combinatorics","score_opus":0.020405706128853285,"score_gpt":0.20738559305501383,"score_spread":0.18697988692616055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387653519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988391,0.0001008362,0.00073878,0.000005269475,0.0000013727605,0.000005355674,0.00019285851,0.000008962414,0.00010749293],"genre_scores_gemma":[0.99748635,0.000094074145,0.0015249972,0.000006700494,0.0000024089527,0.00001496424,0.00058839924,0.000013570254,0.00026865225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939,0.00017251249,0.00004762639,0.00020700789,0.00013095091,0.000051833915],"domain_scores_gemma":[0.9989968,0.00036123596,0.00039710576,0.00008796344,0.00006111428,0.000095793526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008091701,0.0004101952,0.0004007782,0.0014400183,0.00026963928,0.0003230913,0.00025657506,0.00024074638,0.00074163347],"category_scores_gemma":[0.00076520187,0.0002534602,0.00080797967,0.0013659474,0.0002713002,0.00025748005,0.0004383267,0.00031379142,0.0001389845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019830684,0.00039083522,0.555874,0.00016424527,0.0013835079,0.000696325,0.0008418148,0.0024925482,0.40753546,0.0006068779,0.00014108309,0.027890148],"study_design_scores_gemma":[0.000007344687,0.00018666693,0.9945503,0.00000276168,0.00009081695,0.0001346499,0.00004815457,0.0011647368,0.0034833339,0.00008282813,0.00022954032,0.000018940165],"about_ca_topic_score_codex":0.0025762757,"about_ca_topic_score_gemma":0.004753377,"teacher_disagreement_score":0.0025762757,"about_ca_system_score_codex":0.00044900243,"about_ca_system_score_gemma":0.00034295768,"threshold_uncertainty_score":0.005122602},"labels":[],"label_agreement":null},{"id":"W4388023433","doi":"10.3389/fpls.2023.1261323","title":"Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses","year":2023,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Shandong Academy of Agricultural Sciences","keywords":"Biplot; Ammi; Sorghum; Heritability; Gene–environment interaction; Randomized block design; Grain yield; Biology; Agronomy; Main effect; Interaction; Mathematics; Panicle; Biotechnology; Sweet sorghum; Statistics; Genotype; Genetics","score_opus":0.059579654657616006,"score_gpt":0.28091108830547723,"score_spread":0.22133143364786123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388023433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619114,0.00010252859,0.034263127,0.000024271176,0.000017818871,0.000057530877,0.0021585308,0.0006271402,0.0008376671],"genre_scores_gemma":[0.96794,0.000049038958,0.027744943,0.0000118469825,0.000007023993,0.0001931556,0.0032052496,0.0001769322,0.00067187275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981365,0.0008886176,0.00015516304,0.00039041552,0.00031190645,0.0001174487],"domain_scores_gemma":[0.9965402,0.0019878664,0.0005549356,0.00038483462,0.0004151565,0.0001170104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003016756,0.0010694049,0.0005700883,0.0025070915,0.00026731813,0.00076386315,0.00044472722,0.00022676188,0.0013604629],"category_scores_gemma":[0.004596564,0.0001867708,0.0011954478,0.0022751929,0.0002736554,0.00036998693,0.00047420425,0.0005346098,0.00036262482],"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":[0.004624959,0.0010673908,0.49911067,0.0005992981,0.002684331,0.00075148104,0.0024204147,0.028020713,0.21249297,0.0025715237,0.002515926,0.24314034],"study_design_scores_gemma":[0.00003404695,0.0008312542,0.9045396,0.000015426014,0.0001950588,0.00019872776,0.00037087774,0.08458985,0.007301624,0.0004956578,0.0013429241,0.000085071886],"about_ca_topic_score_codex":0.002222634,"about_ca_topic_score_gemma":0.0020534396,"teacher_disagreement_score":0.003016756,"about_ca_system_score_codex":0.00037031918,"about_ca_system_score_gemma":0.00026906532,"threshold_uncertainty_score":0.015954316},"labels":[],"label_agreement":null},{"id":"W4389085849","doi":"10.53555/sfs.v9i1.1806","title":"Unraveling The Genetics Of Rice (Oryza Sativa L.) Yield And Its Component Traits","year":2022,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Genetics and Plant Breeding","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":"Panicle; Oryza sativa; Randomized block design; Path coefficient; Biology; Path analysis (statistics); Grain yield; Test weight; Agronomy; Horticulture; Mathematics; Statistics; Genetics; Gene","score_opus":0.24785661719928526,"score_gpt":0.24192410337215053,"score_spread":0.005932513827134722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389085849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990036,0.00012698899,0.0005051114,0.000018849467,0.0000018869314,0.000005632171,0.00008262291,0.000012161174,0.00024322256],"genre_scores_gemma":[0.99506456,0.0002458966,0.002617738,0.000035389512,0.0000035563837,0.000026144933,0.00040487753,0.000015889462,0.001585905],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997197,0.0000640139,0.00002011415,0.00009986655,0.000051222647,0.000045019307],"domain_scores_gemma":[0.9997789,0.000065342865,0.00006570631,0.000025735717,0.000024135372,0.000040183008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048774065,0.00043683426,0.00030190166,0.00056249887,0.00022372269,0.00026605444,0.0003983152,0.00016890655,0.0007954168],"category_scores_gemma":[0.00024588776,0.00019663059,0.00028468182,0.00040948117,0.00028603806,0.0002051778,0.00042234658,0.00042396315,0.00015753898],"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":[0.00029801368,0.00014769894,0.028909398,0.00009518596,0.00008363769,0.00036806273,0.0005433053,0.000240112,0.9576298,0.0005687067,0.000038707087,0.01107731],"study_design_scores_gemma":[0.000032936034,0.000738096,0.9627796,0.0000148087665,0.00015310771,0.00085061986,0.00045325852,0.0012265642,0.031159757,0.00033840066,0.0022241971,0.00002872847],"about_ca_topic_score_codex":0.003987639,"about_ca_topic_score_gemma":0.010007559,"teacher_disagreement_score":0.003987639,"about_ca_system_score_codex":0.00046901495,"about_ca_system_score_gemma":0.0007467413,"threshold_uncertainty_score":0.007928848},"labels":[],"label_agreement":null},{"id":"W4389627366","doi":"10.3389/fgene.2023.1343846","title":"Corrigendum: Unravelling the genetic framework associated with grain quality and yield-related traits in maize (Zea mays L.)","year":2023,"lang":"en","type":"erratum","venue":"Frontiers in Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Zea mays; Grain yield; Biology; Yield (engineering); Agronomy; Genomics; Biotechnology; Genome; Genetics; Gene; Physics","score_opus":0.051327062223172105,"score_gpt":0.23040098547335064,"score_spread":0.17907392325017854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389627366","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012974723,0.0016162304,0.0010504402,0.034214873,0.9589453,0.00001562568,0.0013499623,0.00048088894,0.0021968966],"genre_scores_gemma":[0.01517867,0.018753976,0.01033248,0.13326593,0.47322,0.0003209877,0.011673461,0.003743897,0.33351055],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997401,0.00038297725,0.00032237018,0.0005515837,0.0010625729,0.00027950716],"domain_scores_gemma":[0.9885389,0.002084546,0.0005043637,0.00067470595,0.007206448,0.000990982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028774957,0.003001843,0.0026648701,0.0031335053,0.0037354892,0.003345531,0.004585318,0.0074395896,0.08701608],"category_scores_gemma":[0.020024363,0.0014363102,0.0026320906,0.0025455905,0.002704086,0.0024587193,0.0029952317,0.0073332186,0.041929953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026614267,0.000005440602,0.00006136645,0.00015475549,0.000017729788,0.00019169858,0.000026108737,0.000052563442,0.00018161187,0.00057041115,0.99292725,0.0057843896],"study_design_scores_gemma":[0.000050766852,0.000033070584,0.0017310365,0.00029255933,0.00009835293,0.00066247134,0.00009172119,0.00033373712,0.0007846209,0.0021301047,0.99371195,0.00007969923],"about_ca_topic_score_codex":0.02732042,"about_ca_topic_score_gemma":0.046444986,"teacher_disagreement_score":0.08701608,"about_ca_system_score_codex":0.004164365,"about_ca_system_score_gemma":0.0041649723,"threshold_uncertainty_score":0.29109776},"labels":[],"label_agreement":null},{"id":"W4391319516","doi":"10.21203/rs.3.rs-3895246/v1","title":"Application of Graphical Analysis and Principal Components in Investigating the Effect of Genotype × Trait (GT) in Maize Hybrids","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Hybrid; Trait; Principal component analysis; Genotype; Quantitative trait locus; Principal (computer security); Biology; Biotechnology; Statistics; Agronomy; Genetics; Computer science; Mathematics; Gene; Programming language","score_opus":0.06404382788746668,"score_gpt":0.3207508019173152,"score_spread":0.25670697402984854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391319516","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9557193,0.00028133765,0.041802034,0.00010433824,0.00002860736,0.00012650031,0.0007155805,0.00056690566,0.00065540354],"genre_scores_gemma":[0.9622331,0.00008207965,0.036596145,0.000023989453,0.000009114075,0.00013721132,0.0005276276,0.000064266365,0.000326431],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99696654,0.0018549975,0.00013849692,0.00049255777,0.0003978623,0.00014959973],"domain_scores_gemma":[0.9956455,0.002887016,0.0005505294,0.00032503207,0.000421511,0.00017047695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026347684,0.00080829154,0.0006952964,0.002561692,0.0002781378,0.00091592484,0.00040486958,0.0003469265,0.0012228994],"category_scores_gemma":[0.0047949827,0.00021736074,0.0015967314,0.0020299726,0.00047392186,0.00043856222,0.0005015353,0.0006325584,0.00015378968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059693204,0.0015935912,0.19748336,0.0010773841,0.0024583312,0.0010107645,0.0019109587,0.015538751,0.56023157,0.003197401,0.00070906495,0.20881952],"study_design_scores_gemma":[0.000089852525,0.0032670451,0.90461284,0.00003559141,0.00074167445,0.00034342153,0.0007012272,0.05463076,0.032280914,0.0015971551,0.0015026164,0.00019674544],"about_ca_topic_score_codex":0.0024342893,"about_ca_topic_score_gemma":0.0014533963,"teacher_disagreement_score":0.0026347684,"about_ca_system_score_codex":0.0005119601,"about_ca_system_score_gemma":0.00056284614,"threshold_uncertainty_score":0.013934135},"labels":[],"label_agreement":null},{"id":"W4391696533","doi":"10.1007/978-981-99-5890-0_6","title":"Genomic Selection and Its Application in Pearl Millet Improvement","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Pearl; Genomic selection; Selection (genetic algorithm); Biology; Computer science; Genetics; Geography; Artificial intelligence; Gene; Genotype","score_opus":0.018555562855449938,"score_gpt":0.1820794648968299,"score_spread":0.16352390204137998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391696533","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029246924,0.33192217,0.33012053,0.00300532,0.0025666377,0.00026151628,0.0009883168,0.001365353,0.3005233],"genre_scores_gemma":[0.14261751,0.30133736,0.18318054,0.0034777531,0.0011623583,0.0004224273,0.0021343443,0.000619293,0.36504844],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998306,0.00002898464,0.00000846729,0.000040811985,0.000078082005,0.000013028915],"domain_scores_gemma":[0.99994195,0.00003700804,0.0000035942448,0.0000068848544,0.000006618101,0.000003874925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038339372,0.0004412073,0.0004850652,0.00079253985,0.00020235794,0.0009168743,0.0006764943,0.0006768268,0.007827898],"category_scores_gemma":[0.00021120906,0.00027293156,0.0003926447,0.0014779634,0.00068874523,0.0006729474,0.0005461122,0.0009790784,0.0023985147],"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":[0.00007774389,0.00009377112,0.00020236414,0.0007818401,0.000020405898,0.00035055654,0.00012064819,0.0024491972,0.10811651,0.036969755,0.008586601,0.84223056],"study_design_scores_gemma":[0.000043003427,0.00051830965,0.0036674966,0.000362893,0.00009976527,0.0021376463,0.00011952097,0.0034760172,0.09122327,0.05258845,0.84570926,0.000054284486],"about_ca_topic_score_codex":0.0006370552,"about_ca_topic_score_gemma":0.00095156056,"teacher_disagreement_score":0.007827898,"about_ca_system_score_codex":0.00029643832,"about_ca_system_score_gemma":0.00025629145,"threshold_uncertainty_score":0.026186943},"labels":[],"label_agreement":null},{"id":"W4391763351","doi":"10.53555/sfs.v10i1s.2307","title":"Genetic Analysis And Character Association In Bread Wheat (Triticum Aestivum L.) Under Terminal Heat Stress","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Genetics and Plant Breeding","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":"Heat stress; Terminal (telecommunication); Character (mathematics); Association (psychology); Biology; Stress (linguistics); Agronomy; Horticulture; Genetics; Botany; Psychology; Mathematics; Computer science; Animal science; Linguistics","score_opus":0.12539273543623153,"score_gpt":0.24806182672075242,"score_spread":0.12266909128452089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391763351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991217,0.000050053193,0.0004084449,0.000009203666,0.0000026299106,0.0000047992326,0.00020472215,0.000006828635,0.00019168275],"genre_scores_gemma":[0.99770147,0.00006773762,0.00083281245,0.000010825364,0.0000034411548,0.000008470283,0.00082622666,0.0000073013116,0.0005417571],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99980634,0.000037292495,0.000019068537,0.00006366862,0.000044128934,0.000029595787],"domain_scores_gemma":[0.99977857,0.00003637113,0.000069120004,0.000020261852,0.000042291715,0.00005334206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003017569,0.00026187056,0.00022094209,0.0007389502,0.00019655618,0.00025587538,0.000103897895,0.00012823188,0.00061258674],"category_scores_gemma":[0.00030278284,0.0000611466,0.0002877336,0.0007513705,0.00011197252,0.00006587583,0.00016122803,0.00018910426,0.00014751221],"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":[0.000748027,0.00022294094,0.19960445,0.000068120746,0.0001823016,0.0009804259,0.00066348066,0.0007742796,0.7705075,0.00018658454,0.00020338765,0.025858324],"study_design_scores_gemma":[0.000015013406,0.00031300102,0.9893629,0.000007611268,0.00007884638,0.00044610235,0.00021631773,0.00088679267,0.007576594,0.00006233189,0.0010244646,0.000010135518],"about_ca_topic_score_codex":0.0013568747,"about_ca_topic_score_gemma":0.0025477768,"teacher_disagreement_score":0.0013568747,"about_ca_system_score_codex":0.00013386206,"about_ca_system_score_gemma":0.00014239506,"threshold_uncertainty_score":0.0026980042},"labels":[],"label_agreement":null},{"id":"W4391944184","doi":"10.1002/csc2.21209","title":"Performance and phenotypic stability of maize hybrids containing exotic introgressions in multi‐environment trials","year":2024,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agricultural Research Service; U.S. Department of Agriculture","keywords":"Biology; Hybrid; Phenotype; Stability (learning theory); Agronomy; Biotechnology; Botany; Genetics; Gene","score_opus":0.1286436926363155,"score_gpt":0.2723340241642515,"score_spread":0.143690331527936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391944184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995148,0.000028509374,0.00021155851,0.0000037149046,0.0000025810991,0.000011818311,0.00010103701,0.0000113640845,0.00011445719],"genre_scores_gemma":[0.997755,0.00004970185,0.0008433994,0.000019347819,0.0000036928636,0.000048416787,0.00059955736,0.000031521755,0.00064925425],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999065,0.00030039807,0.000101803525,0.00025749553,0.0002032064,0.00007216301],"domain_scores_gemma":[0.9986364,0.00043884633,0.00034478834,0.00014852303,0.00017722794,0.00025413133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010088542,0.0005681767,0.00047192659,0.0005054896,0.00041786893,0.00048944895,0.0003246961,0.0003240646,0.0007060654],"category_scores_gemma":[0.0009084473,0.00015891949,0.0003744383,0.00040335636,0.00028954982,0.00032068815,0.0006288868,0.0005654317,0.00015606746],"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":[0.0027135909,0.00065383915,0.011920113,0.00004195845,0.00015872903,0.00011900166,0.00030150163,0.0006029193,0.9798507,0.00007540409,0.000044687466,0.0035176056],"study_design_scores_gemma":[0.00036418426,0.030639138,0.4133545,0.000017616234,0.00048173955,0.0005013602,0.0007710369,0.0036823074,0.54798245,0.00010176217,0.0019683663,0.00013550915],"about_ca_topic_score_codex":0.002052999,"about_ca_topic_score_gemma":0.004208706,"teacher_disagreement_score":0.002052999,"about_ca_system_score_codex":0.0005700763,"about_ca_system_score_gemma":0.00024131929,"threshold_uncertainty_score":0.0053353906},"labels":[],"label_agreement":null},{"id":"W4393054540","doi":"10.1002/csc2.21231","title":"Two types of biplots to integrate multi‐trial and multi‐trait information for genotype selection","year":2024,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Biology; Selection (genetic algorithm); Trait; Genotype; Evolutionary biology; Genetics; Computational biology; Biotechnology; Artificial intelligence; Gene; Computer science","score_opus":0.04678210395958533,"score_gpt":0.27640772862616614,"score_spread":0.22962562466658082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393054540","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28669912,0.00057550584,0.65824705,0.0004245698,0.00046463584,0.0013789654,0.027795801,0.018292366,0.006122],"genre_scores_gemma":[0.41766322,0.00018352715,0.5564743,0.00016076889,0.000078509875,0.001981532,0.019057553,0.0018289109,0.002571666],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970836,0.0014591905,0.00022726768,0.00042859346,0.0005863667,0.00021501764],"domain_scores_gemma":[0.9936466,0.0027013074,0.00061502255,0.0012658075,0.001471795,0.00029948886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004699443,0.001500742,0.0011186982,0.0038286932,0.0005293972,0.001693717,0.000700858,0.00042490204,0.00530369],"category_scores_gemma":[0.008858388,0.0003421052,0.001305212,0.004589435,0.0004435701,0.00083822745,0.0010276355,0.0014227153,0.0012144615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00491922,0.0017077669,0.08479297,0.0011841083,0.0014319243,0.0004684322,0.0009177443,0.040743038,0.05347189,0.009132357,0.036666322,0.7645642],"study_design_scores_gemma":[0.0010197595,0.002608383,0.4205877,0.00030118617,0.00050853216,0.00046509097,0.0009966864,0.43097883,0.03744053,0.016287694,0.08819821,0.00060744456],"about_ca_topic_score_codex":0.0037414248,"about_ca_topic_score_gemma":0.0040135058,"teacher_disagreement_score":0.00530369,"about_ca_system_score_codex":0.00054545805,"about_ca_system_score_gemma":0.0010500146,"threshold_uncertainty_score":0.02485329},"labels":[],"label_agreement":null},{"id":"W4393411077","doi":"10.3390/agronomy14040733","title":"A Method to Estimate Climate Drivers of Maize Yield Predictability Leveraging Genetic-by-Environment Interactions in the US and Canada","year":2024,"lang":"en","type":"article","venue":"Agronomy","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; University of Nebraska-Lincoln; U.S. Department of Agriculture","keywords":"Predictability; Yield (engineering); Climate change; Econometrics; Environmental science; Environmental resource management; Climatology; Economics; Statistics; Ecology; Mathematics; Biology","score_opus":0.019972313724257056,"score_gpt":0.23022322136164328,"score_spread":0.21025090763738621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393411077","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7928156,0.0010358074,0.15579577,0.00047268567,0.000047891725,0.00036122123,0.03360374,0.0026047719,0.013262374],"genre_scores_gemma":[0.9285423,0.00024664658,0.06108062,0.00008157226,0.000005701185,0.00009911767,0.0075850375,0.00013739751,0.002221526],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950755,0.00005813995,0.000029703648,0.00017268554,0.00014769887,0.00008422421],"domain_scores_gemma":[0.9991974,0.00019166946,0.00007302911,0.00006644406,0.00041950587,0.0000519967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072868244,0.00060689537,0.00038146772,0.0026801024,0.0012602144,0.0011290164,0.000937914,0.00032563572,0.0016556367],"category_scores_gemma":[0.003625795,0.00028567287,0.0008393256,0.0038610285,0.0003800722,0.00033824408,0.00079187023,0.000449664,0.0001646872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003909525,0.00009800985,0.5828308,0.00020390705,0.0011109281,0.00041912496,0.0008967266,0.21328697,0.01014131,0.015059258,0.01048715,0.16507494],"study_design_scores_gemma":[0.000050023024,0.000029048675,0.45737526,0.000043963915,0.00017206185,0.00013798436,0.0006933477,0.5196996,0.0032254874,0.005266973,0.013170513,0.00013576196],"about_ca_topic_score_codex":0.9834188,"about_ca_topic_score_gemma":0.98150176,"teacher_disagreement_score":0.016581178,"about_ca_system_score_codex":0.010815979,"about_ca_system_score_gemma":0.018215578,"threshold_uncertainty_score":0.07847577},"labels":[],"label_agreement":null},{"id":"W4393551734","doi":"10.5281/zenodo.6299090","title":"Large-scale and Multi-dimensional Climate, Genetics, and Phenotypes Database for Maize Yield Predictability in the U.S. and Canada","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Yield (engineering); Scale (ratio); Phenotype; Biology; Geography; Genetics; Statistics; Mathematics; Gene; Cartography","score_opus":0.0401259440993038,"score_gpt":0.21628611258724564,"score_spread":0.17616016848794186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393551734","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008249516,0.0002325798,0.000597978,0.00012805859,0.000015360678,0.000032193635,0.98858213,0.00053020474,0.0016320659],"genre_scores_gemma":[0.010873508,0.00019602379,0.0013679218,0.00006579996,0.000003917383,0.000050845403,0.9865876,0.00006400077,0.0007903519],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991001,0.000042404157,0.000057698802,0.0002386812,0.0003655967,0.00019557546],"domain_scores_gemma":[0.99705744,0.00016879124,0.00017479985,0.0003036884,0.0019597455,0.00033550448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000608449,0.0011368408,0.0006687734,0.0032740158,0.0016352005,0.0013185197,0.0021045923,0.00065102405,0.004887307],"category_scores_gemma":[0.002760779,0.0003967011,0.0012354542,0.009109298,0.00047295698,0.0005776665,0.0012747264,0.0009443757,0.0029686617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005051306,0.00015671409,0.10960998,0.0010515534,0.00057022925,0.00040363538,0.00039166026,0.01071817,0.003640588,0.004083937,0.83377534,0.035093132],"study_design_scores_gemma":[0.00021565835,0.000048082038,0.36287585,0.00044932016,0.00024635158,0.00017745528,0.0009295066,0.014378081,0.0031399766,0.0018277761,0.61545986,0.0002521393],"about_ca_topic_score_codex":0.9693801,"about_ca_topic_score_gemma":0.98025733,"teacher_disagreement_score":0.03061992,"about_ca_system_score_codex":0.012788399,"about_ca_system_score_gemma":0.024894513,"threshold_uncertainty_score":0.09278679},"labels":[],"label_agreement":null},{"id":"W4394356332","doi":"10.6084/m9.figshare.20296404","title":"Additional file 1 of Genotyping-by-Sequencing Based Investigation of Population Structure and Genome Wide Association Studies for Seven Agronomically Important Traits in a Set of 346 Oryza rufipogon Accessions","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Oryza rufipogon; Biology; Genotyping; Genome-wide association study; Genetics; Population; Genome; Evolutionary biology; Oryza sativa; Genotype; Single-nucleotide polymorphism; Gene; Medicine","score_opus":0.05578204209106639,"score_gpt":0.23806678372941079,"score_spread":0.1822847416383444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394356332","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000100857025,0.0000099348745,0.00007191818,0.000014354077,0.000003896761,0.000013794851,0.99957997,0.000059720656,0.00014543452],"genre_scores_gemma":[0.0014675359,0.000035784193,0.0007362096,0.00009250819,0.0000075377257,0.00030854036,0.9964011,0.00013256836,0.00081823353],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921954,0.00014152151,0.00013199661,0.0002806418,0.00011145545,0.00011479334],"domain_scores_gemma":[0.9926642,0.0049117147,0.00059829396,0.0006941477,0.00077781273,0.0003538138],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018732116,0.0012349696,0.0015492309,0.0024551046,0.00091439585,0.0016604395,0.00228582,0.001533036,0.49614796],"category_scores_gemma":[0.0106542,0.00075079646,0.0008918793,0.0050592422,0.0004036248,0.001234876,0.0014358432,0.0013000366,0.09528154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003146709,0.00011366613,0.005070227,0.0035501383,0.0001474573,0.00011155611,0.00010304412,0.00075083494,0.0004656264,0.0009878147,0.98332155,0.0050632595],"study_design_scores_gemma":[0.005270349,0.00022231104,0.0484407,0.002199912,0.0004641867,0.00044017652,0.00040108236,0.001335493,0.0011121936,0.007046929,0.93293065,0.00013605175],"about_ca_topic_score_codex":0.010833819,"about_ca_topic_score_gemma":0.01900175,"teacher_disagreement_score":0.49614796,"about_ca_system_score_codex":0.0009242694,"about_ca_system_score_gemma":0.0018742586,"threshold_uncertainty_score":0.7186838},"labels":[],"label_agreement":null},{"id":"W4394475590","doi":"10.6084/m9.figshare.20296407","title":"Additional file 2 of Genotyping-by-Sequencing Based Investigation of Population Structure and Genome Wide Association Studies for Seven Agronomically Important Traits in a Set of 346 Oryza rufipogon Accessions","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Oryza rufipogon; Biology; Genotyping; Genetics; Genome-wide association study; Genome; Population; Computational biology; Evolutionary biology; Oryza sativa; Genotype; Single-nucleotide polymorphism; Gene; Medicine","score_opus":0.05410302464530591,"score_gpt":0.23761106804971555,"score_spread":0.18350804340440963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394475590","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009319526,0.000008713324,0.00007096267,0.000015494534,0.000004352748,0.00001327072,0.9995677,0.00007670077,0.00014964257],"genre_scores_gemma":[0.0013531408,0.000028620116,0.0007274948,0.00008996418,0.000008632399,0.00026520356,0.9965578,0.00015555658,0.0008135415],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991497,0.00013483752,0.00014860956,0.0003105405,0.00012806717,0.000128223],"domain_scores_gemma":[0.99200773,0.005201261,0.00067323796,0.00078144646,0.00094268797,0.0003935103],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001962757,0.0013648961,0.0017122078,0.0026248943,0.00090625696,0.0017938056,0.002449099,0.0017355275,0.5189194],"category_scores_gemma":[0.010388903,0.00076852285,0.00097466813,0.0052861306,0.00044465894,0.0013686175,0.0014783604,0.0013520477,0.10355233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034814916,0.0001156967,0.0045565,0.0035817353,0.00013762024,0.00011177866,0.00009851674,0.0007469417,0.00053402805,0.00095467083,0.98404086,0.0047734724],"study_design_scores_gemma":[0.005453458,0.00021546743,0.041667752,0.0020209176,0.000401945,0.00039601017,0.00037737135,0.0014066008,0.0012196623,0.0073040263,0.93939483,0.00014193109],"about_ca_topic_score_codex":0.010108149,"about_ca_topic_score_gemma":0.017018916,"teacher_disagreement_score":0.5189194,"about_ca_system_score_codex":0.00096035836,"about_ca_system_score_gemma":0.0018072623,"threshold_uncertainty_score":0.68620306},"labels":[],"label_agreement":null},{"id":"W4394543982","doi":"10.6084/m9.figshare.20296410","title":"Additional file 3 of Genotyping-by-Sequencing Based Investigation of Population Structure and Genome Wide Association Studies for Seven Agronomically Important Traits in a Set of 346 Oryza rufipogon Accessions","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Oryza rufipogon; Biology; Genotyping; Genome-wide association study; Genome; Population; Genetics; Evolutionary biology; Oryza sativa; Genotype; Single-nucleotide polymorphism; Gene; Demography","score_opus":0.054894061876818084,"score_gpt":0.23774644181869609,"score_spread":0.182852379941878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394543982","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000078463134,0.000007950983,0.000081808466,0.000014595241,0.000004577074,0.000013325845,0.99953306,0.00009869067,0.00016757313],"genre_scores_gemma":[0.0012902998,0.000027710355,0.0007518354,0.00008490227,0.000008748128,0.00025495072,0.99654466,0.00020585256,0.0008310277],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911803,0.00014433444,0.0001493086,0.00031542382,0.00013684625,0.00013597451],"domain_scores_gemma":[0.9912811,0.005792475,0.0006573036,0.0008166798,0.0010353012,0.00041728312],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019268072,0.0015061271,0.00184609,0.0029593362,0.0010298854,0.0018894532,0.0027018252,0.0017489335,0.5663403],"category_scores_gemma":[0.0109862955,0.00080824527,0.001064019,0.00591455,0.00048520786,0.0014042171,0.0016173413,0.0014269352,0.115224585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030290874,0.00009671772,0.00370973,0.0032239514,0.0001295792,0.00010249395,0.00009654041,0.00077981956,0.0004815627,0.0009123837,0.9856251,0.0045392653],"study_design_scores_gemma":[0.0052296636,0.00019317592,0.03612051,0.0018008405,0.00038422088,0.0003739809,0.00036048543,0.001390775,0.0012560544,0.00806306,0.9446842,0.00014296974],"about_ca_topic_score_codex":0.0111373,"about_ca_topic_score_gemma":0.019736854,"teacher_disagreement_score":0.5663403,"about_ca_system_score_codex":0.0010051237,"about_ca_system_score_gemma":0.0019049211,"threshold_uncertainty_score":0.6185629},"labels":[],"label_agreement":null},{"id":"W4394566884","doi":"10.1071/cp23078","title":"Identification of superior genotypes for leaf architecture traits in Sorghum bicolor through GGE biplot analysis","year":2024,"lang":"en","type":"article","venue":"Crop and Pasture Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Biplot; Biology; Monogastric; Identification (biology); Agronomy; Sorghum; Plant breeding; Sorghum bicolor; Genotype; Animal breeding; Ruminant; Genetic architecture; Pasture; Botany; Quantitative trait locus; Genetics; Gene","score_opus":0.02253093763611684,"score_gpt":0.2474987539771565,"score_spread":0.22496781634103968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394566884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877029,0.00010667702,0.009482633,0.0000350912,0.000009552599,0.00003295347,0.0019880414,0.0002074194,0.00043474237],"genre_scores_gemma":[0.9740735,0.00007330874,0.020270323,0.000024595853,0.0000037910488,0.00011793191,0.004506282,0.00010379177,0.0008264409],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99947196,0.00019662223,0.000037832953,0.00014219509,0.00008727897,0.000064012565],"domain_scores_gemma":[0.9993636,0.00033608076,0.000087954126,0.000055690358,0.000109404325,0.000047409787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007921151,0.0004835171,0.0005924851,0.001555575,0.00024033355,0.00064799737,0.00018647418,0.00016904945,0.00193258],"category_scores_gemma":[0.0011377729,0.000121818615,0.00068542635,0.001402477,0.00020031464,0.00012548317,0.000244688,0.00030713488,0.00033459233],"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":[0.005799246,0.0011059167,0.21619047,0.0005977466,0.0009992142,0.0009973893,0.001281886,0.011729234,0.5459677,0.0010267721,0.0026715738,0.21163286],"study_design_scores_gemma":[0.0000503138,0.0007520175,0.9582438,0.00002977045,0.00015628187,0.00031422143,0.00037467966,0.02726075,0.009809331,0.00027871816,0.0026731512,0.000056949153],"about_ca_topic_score_codex":0.003465781,"about_ca_topic_score_gemma":0.0032255321,"teacher_disagreement_score":0.003465781,"about_ca_system_score_codex":0.00028076934,"about_ca_system_score_gemma":0.00036466357,"threshold_uncertainty_score":0.006891191},"labels":[],"label_agreement":null},{"id":"W4394942934","doi":"10.5376/mgg.2024.15.0003","title":"The Genetic Basis of Nutritional Quality Traits in Maize: Insights from GWAS","year":2024,"lang":"en","type":"article","venue":"Maize Genomics and Genetics","topic":"Genetics and Plant Breeding","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":"Genome-wide association study; Quality (philosophy); Biology; Biotechnology; Genetics; Genotype; Single-nucleotide polymorphism; Gene; Physics","score_opus":0.030416868516785697,"score_gpt":0.21629338149594346,"score_spread":0.18587651297915775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394942934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988638,0.0012720786,0.007325366,0.00030053497,0.000019793584,0.000023694902,0.001583002,0.00006016256,0.00077731535],"genre_scores_gemma":[0.99367934,0.0006511343,0.004740264,0.00010793684,0.000018478411,0.000015086056,0.00058483024,0.00002599455,0.00017696213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991462,0.0002469985,0.00008022355,0.00030079775,0.00016319923,0.00006249075],"domain_scores_gemma":[0.999067,0.0004475417,0.00023424072,0.000119321914,0.000058125745,0.000073753734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001615446,0.0005158522,0.0005077866,0.0013444205,0.0004519973,0.00063749467,0.00025572832,0.00044149652,0.0012461565],"category_scores_gemma":[0.001670134,0.00021152908,0.00094755087,0.0020942201,0.0004610197,0.00033732838,0.00061801326,0.00049502513,0.00009239029],"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":[0.0019166957,0.000115923,0.73433524,0.00031645107,0.004144382,0.0015299714,0.0005866479,0.0021662463,0.21395062,0.0024395932,0.00053686975,0.037961293],"study_design_scores_gemma":[0.000070324655,0.00014156727,0.98664445,0.000031684896,0.0015588991,0.0005737446,0.00016990406,0.0031767106,0.0038069517,0.0015176072,0.0022744134,0.000033797915],"about_ca_topic_score_codex":0.0028289845,"about_ca_topic_score_gemma":0.0063523827,"teacher_disagreement_score":0.0028289845,"about_ca_system_score_codex":0.0002574204,"about_ca_system_score_gemma":0.00039957406,"threshold_uncertainty_score":0.008543432},"labels":[],"label_agreement":null},{"id":"W4394958241","doi":"10.5376/ijh.2024.14.0008","title":"The Role of Genome-Wide Association Studies (GWAS) in Vegetable Crop Genetic Improvement: From Yield to Nutritional Value","year":2024,"lang":"en","type":"article","venue":"International Journal of Horticulture","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Yield (engineering); Biology; Crop; Value (mathematics); Genetic association; Biotechnology; Agronomy; Genetics; Mathematics; Statistics; Single-nucleotide polymorphism; Genotype; Gene; Materials science","score_opus":0.013073891093172018,"score_gpt":0.22747561064883748,"score_spread":0.21440171955566545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394958241","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":[0.24637839,0.5537982,0.16305599,0.024716876,0.0015066597,0.00018891026,0.0020705492,0.00047206556,0.007812435],"genre_scores_gemma":[0.74713385,0.17774191,0.06536905,0.0058694957,0.0011686351,0.00015282455,0.0010051545,0.00011761821,0.001441404],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.995118,0.002885573,0.00037910778,0.00094275456,0.000567156,0.000107386506],"domain_scores_gemma":[0.98255783,0.01436088,0.001228019,0.0007422505,0.00091661204,0.00019437227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010815586,0.0006707208,0.0014003749,0.001720968,0.0004494495,0.0020105382,0.0005667074,0.0011069514,0.0013224757],"category_scores_gemma":[0.012431809,0.00028754162,0.0010485606,0.003079403,0.0014026606,0.0012884616,0.0011101225,0.0016566836,0.0002000558],"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":[0.001767343,0.00015045067,0.2923365,0.007908334,0.008305951,0.0014877035,0.0011558161,0.004703459,0.04942378,0.024165172,0.0043806303,0.60421497],"study_design_scores_gemma":[0.00029038722,0.0017528606,0.70985013,0.005003095,0.011917258,0.003992362,0.0019862314,0.012074645,0.013129297,0.12412766,0.11558716,0.00028885182],"about_ca_topic_score_codex":0.0016146762,"about_ca_topic_score_gemma":0.002556508,"teacher_disagreement_score":0.010815586,"about_ca_system_score_codex":0.0005409118,"about_ca_system_score_gemma":0.0010189106,"threshold_uncertainty_score":0.057199},"labels":[],"label_agreement":null},{"id":"W4394984555","doi":"10.1038/s41598-024-58816-y","title":"Testcross performance and combining ability of early-medium maturing quality protein maize inbred lines in Eastern and Southern Africa","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Global Affairs Canada","keywords":"Hybrid; Inbred strain; Biology; Mating design; Endosperm; Grain yield; Cultivar; Agronomy; Genotype; Biotechnology; Gene–environment interaction; Grain quality; Diallel cross; Genetics; Gene","score_opus":0.04012409227587271,"score_gpt":0.2357236691738794,"score_spread":0.1955995768980067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394984555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945277,0.00006332607,0.00018144234,0.0000028114564,9.68637e-7,0.000005994234,0.000097770724,0.0000051133693,0.00018989207],"genre_scores_gemma":[0.9978409,0.000116614676,0.00088968675,0.000011779136,0.0000013953141,0.000020091155,0.00046629636,0.000016011558,0.0006372079],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999678,0.00005234958,0.000028353066,0.0001050072,0.000092767565,0.00004354958],"domain_scores_gemma":[0.9994867,0.00009152057,0.00019816424,0.000057195255,0.00007420558,0.00009217145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050842855,0.0004027157,0.00026294435,0.00076517445,0.00027959212,0.0003477232,0.00026141628,0.00015678072,0.00057562935],"category_scores_gemma":[0.0005289836,0.00014157096,0.00030809184,0.00054245687,0.00020940875,0.0001656602,0.0003463038,0.00027419155,0.00014375563],"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":[0.0005565632,0.00013384373,0.04456719,0.000051881474,0.00011261928,0.00024735765,0.000519638,0.00020382782,0.9441507,0.00009486741,0.000044127544,0.009317436],"study_design_scores_gemma":[0.000021870954,0.0009572143,0.92261434,0.00000772723,0.00012204504,0.00046548172,0.0003356234,0.00043961508,0.07378204,0.00003596048,0.0011915467,0.000026409854],"about_ca_topic_score_codex":0.0034363188,"about_ca_topic_score_gemma":0.0068212184,"teacher_disagreement_score":0.0034363188,"about_ca_system_score_codex":0.00043773127,"about_ca_system_score_gemma":0.0002297736,"threshold_uncertainty_score":0.0068326592},"labels":[],"label_agreement":null},{"id":"W4399660522","doi":"10.1016/j.heliyon.2024.e32918","title":"Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes using AMMI and GGE biplot analyses","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ethiopian Institute of Agricultural Research","keywords":"Biplot; Ammi; Gene–environment interaction; Genotype; Main effect; Agronomy; Crop; Biotechnology; Biology; Grain yield; Mathematics; Genetics; Statistics","score_opus":0.08237978045736676,"score_gpt":0.27569099785706586,"score_spread":0.1933112173996991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399660522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815957,0.00019110327,0.013980867,0.00003140253,0.00003223438,0.000046066423,0.0030202935,0.00038521815,0.00071723794],"genre_scores_gemma":[0.9682708,0.00010455552,0.023661958,0.00003936643,0.000011880295,0.00028217424,0.0059803403,0.00023853447,0.0014104231],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99843603,0.0005246438,0.00011632802,0.00049351994,0.00027754784,0.0001519639],"domain_scores_gemma":[0.9984471,0.0007628091,0.000270093,0.00014293175,0.00024954733,0.00012746724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017080316,0.0010924164,0.0011818875,0.0021518122,0.0003586595,0.0009662644,0.0003959483,0.0002498995,0.0016936274],"category_scores_gemma":[0.001758603,0.00021894004,0.0017859609,0.0023690837,0.000299443,0.00032949648,0.0005217363,0.0009832751,0.00029129977],"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":[0.008751532,0.0018679454,0.330131,0.00076235604,0.0042891507,0.0012161594,0.001970496,0.019900486,0.46674687,0.0015608241,0.004087923,0.15871531],"study_design_scores_gemma":[0.000032313477,0.0011239459,0.9571823,0.000019257828,0.00032204308,0.00017320001,0.0003403783,0.029098827,0.009509808,0.000249756,0.001861758,0.00008639836],"about_ca_topic_score_codex":0.004108823,"about_ca_topic_score_gemma":0.0039587207,"teacher_disagreement_score":0.004108823,"about_ca_system_score_codex":0.00051837286,"about_ca_system_score_gemma":0.00046639238,"threshold_uncertainty_score":0.009033024},"labels":[],"label_agreement":null},{"id":"W4400404213","doi":"10.5539/jas.v16n8p70","title":"Potential of Tropically-Adapted Exotic Acid Tolerance White Maize Donor Lines in Sub-tropical Breeding Programmes for Low pH Adaptation","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","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":"Soil water; Hybrid; Biology; Plant breeding; Agronomy; Ecology","score_opus":0.02498879016812134,"score_gpt":0.2185029337922785,"score_spread":0.19351414362415717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400404213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99779046,0.00012011522,0.0010751509,0.000018459164,0.0000046406576,0.00005017855,0.00023687993,0.000035265344,0.00066898094],"genre_scores_gemma":[0.9904947,0.00028610302,0.004601646,0.000060728664,0.0000041125427,0.00011709463,0.0012282142,0.000055196764,0.003152012],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99976426,0.00004359456,0.000022027556,0.00006812352,0.000041934716,0.00005996368],"domain_scores_gemma":[0.9996854,0.000045069137,0.000090803456,0.00003792257,0.000032051594,0.00010876719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004295328,0.00041638134,0.00036534978,0.00064626057,0.00029752697,0.00043026742,0.00044386912,0.00020359947,0.0020484554],"category_scores_gemma":[0.00025551947,0.0001742829,0.00025148274,0.00044607508,0.00013989356,0.0002161041,0.00060116086,0.00049937196,0.00029543162],"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":[0.00037896633,0.00012519852,0.0099908775,0.000051492178,0.000031106625,0.00018677328,0.000227984,0.000102811406,0.97985256,0.00016964093,0.00005585464,0.008826728],"study_design_scores_gemma":[0.0002023601,0.0032084503,0.67300487,0.00007240877,0.00039418478,0.0020148018,0.001614905,0.0018953829,0.3010452,0.00020119743,0.016255395,0.00009076683],"about_ca_topic_score_codex":0.0028711078,"about_ca_topic_score_gemma":0.012195838,"teacher_disagreement_score":0.0028711078,"about_ca_system_score_codex":0.00042958386,"about_ca_system_score_gemma":0.00029897716,"threshold_uncertainty_score":0.0068528056},"labels":[],"label_agreement":null},{"id":"W4400429246","doi":"10.5376/mgg.2024.15.0005","title":"Teosinte and Maize Comparative Genomics and Agricultural Impact","year":2024,"lang":"en","type":"article","venue":"Maize Genomics and Genetics","topic":"Genetics and Plant Breeding","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":"Genomics; Agriculture; Biology; Comparative genomics; Biotechnology; Genome; Genetics; Gene; Ecology","score_opus":0.029831888551245703,"score_gpt":0.22993162963857006,"score_spread":0.20009974108732437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400429246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702856,0.00959905,0.003288838,0.00082795945,0.000026143734,0.000012094338,0.00074502674,0.000029235394,0.015186049],"genre_scores_gemma":[0.98583907,0.006626589,0.0030293996,0.00022889611,0.000028097234,0.0000086163,0.0010652707,0.00001969336,0.0031543337],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998857,0.000017336522,0.000003577099,0.000040806066,0.00002557697,0.000026992826],"domain_scores_gemma":[0.9999099,0.000025004489,0.000025369349,0.000005392953,0.000015406831,0.000018904355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002413752,0.00019093965,0.00016752697,0.0008404243,0.00034243672,0.0007515337,0.00021046384,0.0003333849,0.0012209098],"category_scores_gemma":[0.00021252756,0.000083538725,0.00017596222,0.0007660234,0.00028372562,0.00047348184,0.0004437063,0.0002808716,0.00011748328],"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":[0.00068439473,0.000044857832,0.012184318,0.00027763715,0.00007580318,0.000466443,0.00058518955,0.0016966157,0.89948153,0.018562201,0.0002827275,0.06565825],"study_design_scores_gemma":[0.00006646403,0.0008041316,0.5891725,0.00023613397,0.00023620333,0.0027791809,0.002625017,0.0040343227,0.2137446,0.022802945,0.16339739,0.00010111086],"about_ca_topic_score_codex":0.0042458307,"about_ca_topic_score_gemma":0.004689533,"teacher_disagreement_score":0.0042458307,"about_ca_system_score_codex":0.0008907074,"about_ca_system_score_gemma":0.00052783877,"threshold_uncertainty_score":0.008442223},"labels":[],"label_agreement":null},{"id":"W4400958690","doi":"10.1002/agg2.20548","title":"Application of graphical analysis and principal components to identify the effect of genotype × trait in maize hybrids","year":2024,"lang":"en","type":"article","venue":"Agrosystems Geosciences & Environment","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Tassel; Hybrid; Biology; Principal component analysis; Stover; Trait; Agronomy; Randomized block design; Horticulture; Peduncle (anatomy); Quantitative trait locus; Zea mays; Crop; Mathematics; Statistics","score_opus":0.010795403429466928,"score_gpt":0.21674389363101082,"score_spread":0.2059484902015439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400958690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9001373,0.00031241606,0.09520456,0.0001637007,0.000051906103,0.00017890186,0.0012692038,0.001597922,0.0010840598],"genre_scores_gemma":[0.9414157,0.00006948915,0.057001904,0.00002445674,0.000013268663,0.00014449396,0.0008206863,0.0001216615,0.000388253],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971511,0.0016521426,0.0001394496,0.0004619295,0.00045031626,0.00014513372],"domain_scores_gemma":[0.9940732,0.0039561484,0.0006316691,0.00040468635,0.00070451584,0.00022988861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002331188,0.00087932596,0.0007585326,0.0036473556,0.0003017146,0.0010957364,0.0004466963,0.00034228805,0.0018689228],"category_scores_gemma":[0.006737646,0.00021936986,0.0015077846,0.002077828,0.00045515623,0.00046164743,0.0006154405,0.0006215539,0.0002483596],"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":[0.0052124932,0.0015649048,0.2111869,0.00089588837,0.002372372,0.0009544926,0.0012313062,0.021551535,0.38386717,0.0035982656,0.0014032125,0.3661615],"study_design_scores_gemma":[0.00012408519,0.0026478737,0.83621275,0.00004185417,0.0007344548,0.00039766752,0.00062955014,0.12700932,0.027385397,0.0023867085,0.0021829498,0.0002473704],"about_ca_topic_score_codex":0.0028318376,"about_ca_topic_score_gemma":0.0015354399,"teacher_disagreement_score":0.0036473556,"about_ca_system_score_codex":0.0005175395,"about_ca_system_score_gemma":0.0005887479,"threshold_uncertainty_score":0.012328625},"labels":[],"label_agreement":null},{"id":"W4401224265","doi":"10.1111/jph.13350","title":"Maize insensitivity to culture filtrates from <i>Exserohilum turcicum</i> is related to quantitative resistance","year":2024,"lang":"en","type":"article","venue":"Journal of Phytopathology","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Exserohilum; Biology; Resistance (ecology); Botany; Agronomy; Blight","score_opus":0.018700094535194996,"score_gpt":0.24979555658564126,"score_spread":0.23109546205044626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401224265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983015,0.0001492321,0.00087093737,0.000017668248,0.0000030332267,0.0000099643075,0.0003094412,0.00004549048,0.00029280406],"genre_scores_gemma":[0.9981932,0.00007269623,0.00054185925,0.000019081868,0.0000018533473,0.000007869664,0.0007813089,0.0000089405585,0.00037303963],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999828,0.00003631619,0.00001999423,0.000037797876,0.00005044398,0.000027384127],"domain_scores_gemma":[0.9996979,0.00006055533,0.0001324498,0.000036005422,0.000032794975,0.00004040731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001526638,0.0003706879,0.00022982049,0.00029876147,0.00007846745,0.00020466726,0.00014253198,0.00018096493,0.0006492244],"category_scores_gemma":[0.00019363662,0.00011322725,0.00029126147,0.00016204457,0.00011712042,0.00010951653,0.00019445256,0.00037017197,0.00016166245],"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":[0.000037203354,0.00001182739,0.0008841107,0.000009343512,0.000004424034,0.000011125564,0.000006643999,0.000021682608,0.99871945,0.000008045667,0.00000786168,0.00027836152],"study_design_scores_gemma":[0.0000112362,0.00092361926,0.14723851,0.0000064791498,0.00003109577,0.00033481736,0.00006735782,0.00094432646,0.8495937,0.000027643146,0.0008107613,0.00001045404],"about_ca_topic_score_codex":0.0014462548,"about_ca_topic_score_gemma":0.0012523864,"teacher_disagreement_score":0.0014462548,"about_ca_system_score_codex":0.0002493024,"about_ca_system_score_gemma":0.00008347256,"threshold_uncertainty_score":0.0028756857},"labels":[],"label_agreement":null},{"id":"W4401241227","doi":"10.5376/mgg.2024.15.0006","title":"Conventional Breeding vs. Genetic Engineering in Maize: A Comparative Study","year":2024,"lang":"en","type":"article","venue":"Maize Genomics and Genetics","topic":"Genetics and Plant Breeding","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":"Biotechnology; Biology; Agronomy","score_opus":0.03311322405227867,"score_gpt":0.21923864128025372,"score_spread":0.18612541722797504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401241227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88424784,0.08650529,0.005162889,0.00035965088,0.0000694842,0.00007144362,0.00041371334,0.000029552732,0.023140153],"genre_scores_gemma":[0.9279177,0.06432797,0.004934432,0.00017648439,0.00010580529,0.000028757608,0.00044375914,0.000023466264,0.002041584],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995415,0.00009855513,0.00003329938,0.0000994481,0.0001641299,0.00006315798],"domain_scores_gemma":[0.9994879,0.00020881751,0.00012765477,0.00003481414,0.0000884458,0.000052494488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012295751,0.00022064317,0.00037448204,0.0025909622,0.000344237,0.00096521265,0.0002997635,0.00029876147,0.0014053629],"category_scores_gemma":[0.0008538138,0.00008303686,0.00036637345,0.0030061158,0.00044818933,0.0010178941,0.00047889992,0.00024272155,0.00016503381],"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":[0.0043266043,0.0005876877,0.07554077,0.0061664195,0.00092964503,0.0029068715,0.0048722834,0.0011733493,0.32081926,0.021881597,0.0013648584,0.5594306],"study_design_scores_gemma":[0.00008613323,0.0074822716,0.77451533,0.001297651,0.0013902764,0.009250283,0.007936513,0.0018382145,0.04958122,0.0063903024,0.14006063,0.0001711739],"about_ca_topic_score_codex":0.0013670413,"about_ca_topic_score_gemma":0.0019395181,"teacher_disagreement_score":0.0025909622,"about_ca_system_score_codex":0.00083420746,"about_ca_system_score_gemma":0.0004691216,"threshold_uncertainty_score":0.006502688},"labels":[],"label_agreement":null},{"id":"W4401866952","doi":"10.1111/nph.20050","title":"Phenotypic limits of crop diversity: a data exploration of functional trait space","year":2024,"lang":"en","type":"article","venue":"New Phytologist","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Canada Research Chairs; Agence Nationale de la Recherche","keywords":"Trait; Biology; Phenotype; Functional diversity; Diversity (politics); Evolutionary biology; Space (punctuation); Phenotypic trait; Computational biology; Genetics; Ecology; Computer science; Gene","score_opus":0.20063486770572558,"score_gpt":0.2621438262114224,"score_spread":0.06150895850569682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401866952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9108792,0.0006636649,0.08265107,0.00012170021,0.0000050783096,0.00002713992,0.0023367757,0.00032908138,0.0029862672],"genre_scores_gemma":[0.97991264,0.00012536031,0.018762268,0.000018700242,0.000005672453,0.000045110177,0.0009206264,0.000052818166,0.00015663647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988362,0.0005308333,0.00008182749,0.0002961568,0.0001935024,0.000061465886],"domain_scores_gemma":[0.9869223,0.008302685,0.001547739,0.0022465992,0.00067144824,0.00030928254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023508654,0.0003820935,0.0005337109,0.003070377,0.0004400822,0.0011499549,0.00044913945,0.00045302915,0.0009399385],"category_scores_gemma":[0.009232132,0.00021841443,0.0006210393,0.003087789,0.0009962546,0.0016687649,0.0010005621,0.00080915197,0.00019865719],"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":[0.00059931487,0.0001367761,0.655893,0.0006005326,0.00060767843,0.0003613297,0.0024470077,0.039447684,0.11608689,0.015572191,0.0008464786,0.16740108],"study_design_scores_gemma":[0.000017442313,0.00044974964,0.79435605,0.00011862491,0.00013583018,0.0015983451,0.0013040699,0.1270205,0.026178345,0.03999155,0.00867796,0.0001514931],"about_ca_topic_score_codex":0.0010566013,"about_ca_topic_score_gemma":0.0010858487,"teacher_disagreement_score":0.003070377,"about_ca_system_score_codex":0.0004911321,"about_ca_system_score_gemma":0.0002480692,"threshold_uncertainty_score":0.012432694},"labels":[],"label_agreement":null},{"id":"W4401869650","doi":"10.21203/rs.3.rs-4735837/v1","title":"Simulations of Genomic Selection Implementation Pathways in Common Bean (Phaseolus vulgaris L.) Using RRBLUP and Artificial Neural Networks","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Phaseolus; Selection (genetic algorithm); Artificial neural network; Deep neural networks; Biology; Computer science; Artificial intelligence; Computational biology; Machine learning; Biological system; Botany","score_opus":0.16164418894195473,"score_gpt":0.38299737671054984,"score_spread":0.2213531877685951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401869650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97437626,0.00020094246,0.016176907,0.00047872367,0.000052391686,0.000029252698,0.000744456,0.00026465938,0.0076762587],"genre_scores_gemma":[0.993616,0.0000493826,0.004502199,0.00005683594,0.000005109043,0.00004328723,0.00028008947,0.000048437803,0.0013987448],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989533,0.000036649937,0.0000041325147,0.000019836034,0.000013248422,0.000030818665],"domain_scores_gemma":[0.9984509,0.0010500029,0.00010008416,0.00005639412,0.00018158245,0.00016101204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040821606,0.00037321486,0.0004610612,0.00052577374,0.00058243267,0.0006627028,0.0008872882,0.0010964564,0.005816859],"category_scores_gemma":[0.0023704523,0.00035084726,0.00058190053,0.00060863484,0.0005201859,0.0005302964,0.00051979587,0.0007493936,0.00023151307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004871578,0.000031788542,0.0015649339,0.000015016044,0.00001388148,0.00004591151,0.000018339744,0.9955323,0.0003204225,0.0010906304,0.00028534103,0.0010326594],"study_design_scores_gemma":[0.000015852125,0.000015496758,0.00052494684,0.0000022171564,0.000004867375,0.000004063645,0.000018342358,0.9984983,0.00010714957,0.0007225175,0.00008262287,0.0000036172084],"about_ca_topic_score_codex":0.03695477,"about_ca_topic_score_gemma":0.028758384,"teacher_disagreement_score":0.03695477,"about_ca_system_score_codex":0.0013145105,"about_ca_system_score_gemma":0.0008846216,"threshold_uncertainty_score":0.073479295},"labels":[],"label_agreement":null},{"id":"W4401882504","doi":"10.32634/0869-8155-2024-385-8-150-154","title":"The use of breeding indices when estimating winter durum wheat productivity","year":2024,"lang":"en","type":"article","venue":"Agrarian science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Agronomy; Environmental science; Agricultural economics; Agricultural engineering; Biology; Engineering; Economics","score_opus":0.07810404869366866,"score_gpt":0.23565671573455005,"score_spread":0.1575526670408814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401882504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95030755,0.0011370366,0.040882118,0.000028144448,0.00004569053,0.0001171353,0.0017888404,0.00021987538,0.005473778],"genre_scores_gemma":[0.93761206,0.00032028442,0.059290994,0.000012154382,0.000013778998,0.00007220484,0.0017539513,0.000055203,0.0008693216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988827,0.0004446255,0.00008897557,0.00025323534,0.00026787372,0.000062607505],"domain_scores_gemma":[0.9983071,0.0007927104,0.0003424875,0.00019246171,0.0002573296,0.000107862135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020253642,0.0008036883,0.0005571983,0.002695038,0.00028013618,0.0010808911,0.0004929143,0.00024624812,0.0007087637],"category_scores_gemma":[0.0025837414,0.0002290732,0.0004003402,0.0028836997,0.00019552383,0.00043784667,0.00038961685,0.00046818235,0.00030813765],"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":[0.00033666892,0.000096329575,0.8139096,0.00018351739,0.00026745026,0.0001484897,0.00053508906,0.0026424176,0.04416485,0.00045018422,0.0003744319,0.13689102],"study_design_scores_gemma":[0.000007760373,0.00031832777,0.98534864,0.00002451613,0.00009152909,0.00012937964,0.00039949908,0.0052768495,0.0060137175,0.00018912835,0.0021815572,0.000019141497],"about_ca_topic_score_codex":0.004642467,"about_ca_topic_score_gemma":0.012436071,"teacher_disagreement_score":0.004642467,"about_ca_system_score_codex":0.00042855926,"about_ca_system_score_gemma":0.00027617003,"threshold_uncertainty_score":0.010711312},"labels":[],"label_agreement":null},{"id":"W4402072641","doi":"10.5376/mpb.2024.15.0020","title":"The Contribution of Exotic Varieties to Maize Genetic Improvement","year":2024,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Zea mays; Agronomy; Plant breeding; Biotechnology","score_opus":0.016942937422170287,"score_gpt":0.18773578223390577,"score_spread":0.17079284481173548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402072641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726219,0.0034789427,0.015219972,0.00034511846,0.00007361546,0.000100035046,0.00068437477,0.00018654623,0.007289479],"genre_scores_gemma":[0.9682588,0.0053379615,0.020661665,0.00028279546,0.00006322549,0.000066653636,0.002391582,0.00013178277,0.0028055445],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960476,0.000082358485,0.000039545663,0.00011832689,0.000098197896,0.00005687688],"domain_scores_gemma":[0.9996691,0.00006539703,0.00010583266,0.000054656848,0.000046699144,0.00005832719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009766313,0.00039980363,0.0003584756,0.0009925639,0.0003290683,0.0010535085,0.0004666016,0.00034192912,0.001071934],"category_scores_gemma":[0.00065595884,0.00019500659,0.00039903904,0.0009157455,0.00034659493,0.0005405737,0.0011238144,0.00064353383,0.00016939477],"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":[0.00039717686,0.000108900065,0.009406266,0.0004227127,0.00019041784,0.00068905833,0.0004653247,0.0010066064,0.9010707,0.005034383,0.0002877366,0.080920696],"study_design_scores_gemma":[0.00031238853,0.0039158077,0.4230547,0.0003617465,0.0017003855,0.009574494,0.0022104466,0.010518766,0.26062006,0.012763757,0.2746585,0.0003088722],"about_ca_topic_score_codex":0.00076184626,"about_ca_topic_score_gemma":0.0021829002,"teacher_disagreement_score":0.001071934,"about_ca_system_score_codex":0.00049279287,"about_ca_system_score_gemma":0.00030460343,"threshold_uncertainty_score":0.0051650405},"labels":[],"label_agreement":null},{"id":"W4402320967","doi":"10.5376/mgg.2024.15.0014","title":"Utilizing Genetic Diversity for Maize Improvement: Strategies and Success Stories","year":2024,"lang":"en","type":"article","venue":"Maize Genomics and Genetics","topic":"Genetics and Plant Breeding","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); Geography; Sociology; Anthropology; Demography","score_opus":0.03373050648850243,"score_gpt":0.21491477312399598,"score_spread":0.18118426663549356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402320967","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":[0.08137124,0.81360346,0.024915742,0.052951764,0.00072726456,0.000069270965,0.00020318358,0.00014935198,0.026008764],"genre_scores_gemma":[0.31261444,0.65053064,0.02491614,0.005962469,0.000815773,0.00007849269,0.0002882529,0.00009848559,0.0046953605],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99863154,0.00040153987,0.00007740706,0.00027231124,0.00044726196,0.0001700016],"domain_scores_gemma":[0.9960122,0.0026064063,0.00033830112,0.0001898635,0.0005052203,0.0003480155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073831975,0.0006099371,0.0004601267,0.0010177759,0.00085667905,0.0029823114,0.0007738309,0.0011689255,0.0012252838],"category_scores_gemma":[0.0042212284,0.00018273684,0.00045752389,0.0011589387,0.002696738,0.0038201676,0.0019790744,0.0019897826,0.00028831823],"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":[0.00026374488,0.00011449167,0.006956852,0.0024732195,0.00024999745,0.0007398143,0.0018456136,0.0015508652,0.023931086,0.082361124,0.008600194,0.870913],"study_design_scores_gemma":[0.00010990686,0.0011888221,0.016787255,0.0023967323,0.00047818423,0.0019115744,0.0047051166,0.0020654958,0.030019052,0.082411766,0.85773385,0.00019219644],"about_ca_topic_score_codex":0.0015376023,"about_ca_topic_score_gemma":0.0023180102,"teacher_disagreement_score":0.0073831975,"about_ca_system_score_codex":0.0013330246,"about_ca_system_score_gemma":0.0014668133,"threshold_uncertainty_score":0.039046526},"labels":[],"label_agreement":null},{"id":"W4402899391","doi":"10.5376/be.2024.14.0014","title":"Adaptation of Maize to Various Climatic Conditions: Genetic Underpinnings","year":2024,"lang":"en","type":"article","venue":"Biological Evidence","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Environmental science; Biology; Neuroscience","score_opus":0.14654010140381182,"score_gpt":0.28419465927004817,"score_spread":0.13765455786623634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402899391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962637,0.0007115544,0.0018053658,0.00007074449,0.0000027298045,0.000009998762,0.00027141024,0.00002145021,0.0008429974],"genre_scores_gemma":[0.9981838,0.0005992607,0.00084820524,0.000025590578,0.000005778776,0.000006022418,0.00015926333,0.0000088357565,0.00016312244],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998381,0.000029702196,0.000015003955,0.000058564146,0.000035335863,0.000023279752],"domain_scores_gemma":[0.99987054,0.000029183175,0.000062204796,0.0000106037205,0.0000116903875,0.00001579846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028643679,0.00027069094,0.0002112483,0.0007139151,0.00021394223,0.00037325898,0.00021122476,0.00022698299,0.0005106761],"category_scores_gemma":[0.00023422825,0.00014695624,0.00022712175,0.00084831513,0.00038990556,0.00027385715,0.00059137854,0.00021055575,0.00007686222],"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":[0.00037853856,0.00004728563,0.089307085,0.0001400299,0.00015371533,0.00047047564,0.00041585253,0.0015829741,0.8859888,0.0026387759,0.000055013643,0.018821558],"study_design_scores_gemma":[0.000013615077,0.000120625715,0.98100394,0.000020268302,0.0000913331,0.00046086713,0.00025046148,0.001967188,0.012282268,0.0022329893,0.0015264452,0.000029843293],"about_ca_topic_score_codex":0.002866747,"about_ca_topic_score_gemma":0.0038933724,"teacher_disagreement_score":0.002866747,"about_ca_system_score_codex":0.00029418874,"about_ca_system_score_gemma":0.00030198196,"threshold_uncertainty_score":0.0057001114},"labels":[],"label_agreement":null},{"id":"W4403785266","doi":"10.1007/s00122-024-04761-3","title":"Genetic loci associated with sorghum drought tolerance in multiple environments and their sensitivity to environmental covariables","year":2024,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Embrapa Mandioca e Fruticultura; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Biology; Sorghum; Plant biochemistry; Drought tolerance; Sensitivity (control systems); Genetics; Biotechnology; Agronomy; Gene","score_opus":0.007802621138186989,"score_gpt":0.1590523306419108,"score_spread":0.1512497095037238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403785266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99975425,0.000011856605,0.0001550703,0.0000033526724,7.09862e-7,6.232082e-7,0.000026877111,0.0000020431091,0.000045153814],"genre_scores_gemma":[0.9997415,0.0000059407826,0.00012290169,0.000003798701,9.154363e-7,0.000001723424,0.00004884674,0.000002972107,0.000071417635],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996214,0.00012447618,0.000033842218,0.00011358692,0.000040573654,0.000066180146],"domain_scores_gemma":[0.9986528,0.000625365,0.00035712172,0.000081339764,0.000067047775,0.00021627688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039237866,0.00026585386,0.00034157286,0.000950436,0.0003805796,0.00042315904,0.00019894948,0.00028956917,0.0010593084],"category_scores_gemma":[0.00067605573,0.00023306829,0.00030647675,0.0011085268,0.00042295057,0.00019135702,0.0005131072,0.0003778711,0.00007640942],"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":[0.003034059,0.00017857188,0.38626772,0.00006336331,0.000548522,0.00084155967,0.0011759382,0.0014044753,0.60013163,0.0006124667,0.00005492755,0.005686742],"study_design_scores_gemma":[0.000019422097,0.00011936414,0.9943315,0.0000035546855,0.00006829938,0.00032276267,0.00031261225,0.0010905331,0.0033701228,0.00024085696,0.000105227526,0.00001569996],"about_ca_topic_score_codex":0.0018911372,"about_ca_topic_score_gemma":0.0032931296,"teacher_disagreement_score":0.0018911372,"about_ca_system_score_codex":0.00018367665,"about_ca_system_score_gemma":0.000160439,"threshold_uncertainty_score":0.0037602782},"labels":[],"label_agreement":null},{"id":"W4404663571","doi":"10.4308/hjb.32.1.117-131","title":"Evaluation of Drought Tolerance Ability in Wheat Genotypes Through Comprehensive Stress Indices","year":2024,"lang":"en","type":"article","venue":"HAYATI Journal of Biosciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Water stress; Drought stress; Agronomy; Drought tolerance; Stress (linguistics); Biology; Drought resistance; Environmental science","score_opus":0.0802459632570966,"score_gpt":0.2916337805525717,"score_spread":0.21138781729547512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404663571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988757,0.00007336196,0.0006509409,0.000003212969,0.0000017029516,0.000007812882,0.0002334976,0.00001361849,0.00014018404],"genre_scores_gemma":[0.9972921,0.00005279718,0.0016026159,0.000009793068,0.0000017229636,0.00002405606,0.0006887601,0.0000086092505,0.00031960517],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978524,0.00003146473,0.000037091067,0.000070361915,0.000044342094,0.000031501302],"domain_scores_gemma":[0.9995851,0.000058445676,0.00012908663,0.000043776166,0.00008223051,0.00010141686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004226154,0.000476373,0.0004578208,0.00079922215,0.00023528944,0.00042060128,0.00019695258,0.00025482124,0.00044026133],"category_scores_gemma":[0.00034764878,0.00015150987,0.0003632483,0.00074274844,0.00017476433,0.00034243037,0.0004920231,0.00036708877,0.00010144355],"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":[0.00078993227,0.00016580334,0.18085037,0.00013843151,0.00017913431,0.00013272352,0.0007221347,0.0015315384,0.8004281,0.00010013645,0.00007793103,0.014883772],"study_design_scores_gemma":[0.000008106452,0.0010150456,0.9663883,0.000008122153,0.000082409955,0.00014196466,0.00027003358,0.0014279158,0.029945226,0.00008691377,0.00059663603,0.000029337778],"about_ca_topic_score_codex":0.00083314773,"about_ca_topic_score_gemma":0.0014491417,"teacher_disagreement_score":0.00083314773,"about_ca_system_score_codex":0.0002069457,"about_ca_system_score_gemma":0.00014619356,"threshold_uncertainty_score":0.0022349954},"labels":[],"label_agreement":null},{"id":"W4404869073","doi":"10.5376/bm.2024.15.0023","title":"The Integration of Genetic Markers in Maize Breeding Programs","year":2024,"lang":"en","type":"article","venue":"Bioscience Methods","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Biotechnology; Genetic marker; Genetics; Gene","score_opus":0.0967560821963702,"score_gpt":0.33164122202272756,"score_spread":0.23488513982635734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404869073","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41757616,0.014375664,0.5313737,0.0030629602,0.00046118573,0.0007576776,0.0021150312,0.0021746533,0.02810303],"genre_scores_gemma":[0.4962992,0.009872174,0.48558894,0.0004211781,0.00015038103,0.00031369703,0.0021637261,0.00022023318,0.004970397],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99763596,0.0010530027,0.00016450617,0.00036957912,0.00059155084,0.0001854524],"domain_scores_gemma":[0.99857414,0.00036047585,0.00046964118,0.00022185621,0.00023307344,0.00014084984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035590983,0.00037610042,0.00042128566,0.0014742153,0.00040597183,0.0012668517,0.0007470648,0.0006141069,0.0012213337],"category_scores_gemma":[0.0032007562,0.00033691427,0.0004230036,0.0034684206,0.00036861107,0.0011787416,0.0014552763,0.0010989415,0.00047853257],"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":[0.00060792756,0.00018610133,0.017144814,0.0005680441,0.00021945439,0.0004942237,0.0005995086,0.008423454,0.23529062,0.025996497,0.0013462353,0.7091231],"study_design_scores_gemma":[0.00033906722,0.0025313306,0.18102765,0.0010655548,0.0012773932,0.0015069984,0.0011085513,0.028772062,0.26451036,0.03330229,0.48420364,0.00035511376],"about_ca_topic_score_codex":0.0024209518,"about_ca_topic_score_gemma":0.0032930796,"teacher_disagreement_score":0.0035590983,"about_ca_system_score_codex":0.0009809723,"about_ca_system_score_gemma":0.0015707061,"threshold_uncertainty_score":0.01882255},"labels":[],"label_agreement":null},{"id":"W4405335754","doi":"10.1002/csc2.21425","title":"Agronomic value of alfalfa semi‐hybrids across contrasting Italian environments","year":2024,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"HORIZON EUROPE Framework Programme","keywords":"Germplasm; Hybrid; Biology; Heterosis; Agronomy; Population; Cropping; Agriculture; Adaptation (eye); Yield (engineering); Plant breeding; Ecology","score_opus":0.019222283647189,"score_gpt":0.23203765154779124,"score_spread":0.21281536790060224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405335754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995289,0.000038046164,0.00013832065,0.0000047884764,9.756681e-7,0.0000033603505,0.00007250473,0.000008975953,0.00020424987],"genre_scores_gemma":[0.998725,0.000038082257,0.00033556507,0.000015570193,0.00000178749,0.000013583051,0.0005024356,0.000011787662,0.00035612905],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997652,0.000060760492,0.000019517156,0.00007834197,0.00004005707,0.000036110392],"domain_scores_gemma":[0.9997764,0.000046999725,0.000060358972,0.000039017243,0.000029593153,0.000047676804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002709639,0.00039282104,0.00025065235,0.00040732528,0.00026052154,0.0003509655,0.00021805175,0.00019258652,0.00046308184],"category_scores_gemma":[0.00023294541,0.00012407394,0.00029686876,0.00032288223,0.00024669952,0.00011327303,0.0004693944,0.00029681472,0.00012763643],"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":[0.00072172977,0.00007146801,0.022800379,0.00003246426,0.00006456394,0.00012760458,0.00023179367,0.000380642,0.9717029,0.00006417707,0.000037484235,0.0037648017],"study_design_scores_gemma":[0.000025112258,0.00092827104,0.9337103,0.000005619008,0.000088652814,0.0003522967,0.00030998042,0.00089771376,0.06235478,0.000045385124,0.0012551132,0.000026758591],"about_ca_topic_score_codex":0.0024304364,"about_ca_topic_score_gemma":0.0041776053,"teacher_disagreement_score":0.0024304364,"about_ca_system_score_codex":0.00060660945,"about_ca_system_score_gemma":0.0001862588,"threshold_uncertainty_score":0.004832566},"labels":[],"label_agreement":null},{"id":"W4409487031","doi":"10.53762/grjnst.03.02.04","title":"10.53762/grjnst.03.02.04","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Genetics and Plant Breeding","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":"Zea mays; Principal component analysis; Agronomy; Yield (engineering); Prioritization; Biology; Mathematics; Statistics; Engineering","score_opus":0.013232136110734287,"score_gpt":0.14972340561606118,"score_spread":0.1364912695053269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409487031","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015595234,0.002493804,0.029501213,0.001858942,0.0033701484,0.000329754,0.00950197,0.023975844,0.9133731],"genre_scores_gemma":[0.019035779,0.0008322226,0.011005142,0.0005787641,0.0002868606,0.00016350251,0.0063290787,0.0028684163,0.9589003],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992144,0.00013066905,0.00008497999,0.0002131415,0.00022851484,0.00012835083],"domain_scores_gemma":[0.9984003,0.00017675466,0.00012228827,0.000495742,0.0004003087,0.00040473594],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014495185,0.0015012545,0.00089515536,0.0021344482,0.00097103434,0.0043632477,0.0018943894,0.0021483798,0.77981037],"category_scores_gemma":[0.001225013,0.00065105135,0.0011202999,0.0018792902,0.0009860162,0.0019259884,0.0031709096,0.0015395633,0.86631835],"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":[0.0004922063,0.00076703395,0.0036257803,0.00072564546,0.00005854302,0.00059782283,0.0002954631,0.0007546955,0.020770686,0.0065408945,0.16143787,0.8039334],"study_design_scores_gemma":[0.000059357073,0.00013884352,0.005920011,0.00032238706,0.000028155015,0.0011267855,0.000255328,0.0011614809,0.0029795323,0.0029502306,0.9850093,0.00004871677],"about_ca_topic_score_codex":0.0021001347,"about_ca_topic_score_gemma":0.0015417278,"teacher_disagreement_score":0.22018963,"about_ca_system_score_codex":0.0008316384,"about_ca_system_score_gemma":0.0015719224,"threshold_uncertainty_score":0.31407374},"labels":[],"label_agreement":null},{"id":"W4410701351","doi":"10.1016/j.egg.2025.100368","title":"Graphic analysis of genetic variation in morphological traits of garden cress (Lepidium sativum L.)","year":2025,"lang":"en","type":"article","venue":"Ecological Genetics and Genomics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung; Agriculture and Agri-Food Canada","keywords":"Lepidium sativum; Variation (astronomy); Genetic variation; Biology; Botany; Evolutionary biology; Genetics; Gene; Physics","score_opus":0.01632596645344327,"score_gpt":0.20712052151914187,"score_spread":0.1907945550656986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410701351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754328,0.00014461674,0.0038839756,0.00032011583,0.000056918187,0.000029772797,0.013860025,0.00046165,0.005810186],"genre_scores_gemma":[0.9743438,0.000120680794,0.008805219,0.00020689957,0.000015578438,0.000054644464,0.009441208,0.0001925998,0.0068193404],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99994683,0.000008783337,0.000003141364,0.000020893682,0.000010745467,0.000009609346],"domain_scores_gemma":[0.999778,0.00009018003,0.00005047818,0.000015678997,0.00002278378,0.00004289383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068404406,0.00017656862,0.00011634169,0.0010792814,0.00020672068,0.00015343446,0.0001621438,0.00020587917,0.0084396],"category_scores_gemma":[0.00017916186,0.000093215145,0.00026201413,0.0006436638,0.00013383247,0.00005898138,0.00014615453,0.00032695374,0.00040487672],"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":[0.0007804794,0.000110941335,0.019165536,0.00019699932,0.00006744815,0.00033738356,0.00016332237,0.0007054817,0.9533765,0.0009215073,0.00304212,0.021132348],"study_design_scores_gemma":[0.000077536104,0.00021792893,0.9361985,0.00003145291,0.00009119942,0.00054942415,0.00024040134,0.0042470624,0.04795212,0.00044418595,0.009913096,0.00003715702],"about_ca_topic_score_codex":0.0050592977,"about_ca_topic_score_gemma":0.0069759805,"teacher_disagreement_score":0.0084396,"about_ca_system_score_codex":0.00020698397,"about_ca_system_score_gemma":0.00012374052,"threshold_uncertainty_score":0.02823329},"labels":[],"label_agreement":null},{"id":"W4410754772","doi":"10.1038/s41598-025-02628-1","title":"Physiological and biochemical pathway: understanding their influence on maize grain yield through genotype–trait interactions","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Debreceni Egyetem","keywords":"Biplot; Genotype; Principal component analysis; Biology; Trait; Randomized block design; Gene–environment interaction; Quantitative trait locus; Grain yield; Agronomy; Horticulture; Statistics; Genetics; Mathematics","score_opus":0.07278793118738558,"score_gpt":0.2426427617204203,"score_spread":0.1698548305330347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410754772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983753,0.0002232822,0.0010551346,0.000024968282,0.0000018595922,0.000014216122,0.0001456578,0.000015921727,0.00014362214],"genre_scores_gemma":[0.9963355,0.00022608456,0.0027045377,0.00003267205,0.0000019910588,0.000044889854,0.00025564118,0.000011762398,0.00038679224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996551,0.00010340336,0.000020386065,0.000106497384,0.000051632138,0.00006298291],"domain_scores_gemma":[0.9997751,0.00007521306,0.000059115064,0.000016881535,0.00002006633,0.000053715703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005473105,0.0005038084,0.0005040973,0.00044295573,0.000198402,0.00045241546,0.00022439647,0.00034187143,0.00062946934],"category_scores_gemma":[0.00029185353,0.00021474007,0.00050106086,0.00043236988,0.0002799215,0.00044627194,0.00027651436,0.00040827482,0.0000789225],"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":[0.0016839434,0.00023336503,0.011186832,0.000093146504,0.00009102774,0.000054348093,0.00010615683,0.0006735192,0.9819571,0.0002099199,0.000026077469,0.0036845936],"study_design_scores_gemma":[0.00013827166,0.0023305123,0.84016997,0.000015912563,0.0004486783,0.00016067932,0.00024217309,0.01582659,0.13855761,0.00068240636,0.0013497157,0.00007751368],"about_ca_topic_score_codex":0.0049056616,"about_ca_topic_score_gemma":0.0064427005,"teacher_disagreement_score":0.0049056616,"about_ca_system_score_codex":0.0008416408,"about_ca_system_score_gemma":0.0007691002,"threshold_uncertainty_score":0.0097542405},"labels":[],"label_agreement":null},{"id":"W4411250030","doi":"10.1002/tpg2.70057","title":"Environment ensemble models for genomic prediction in common bean ( <i>Phaseolus vulgaris</i> L.)","year":2025,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Agriculture and Agri-Food Canada","keywords":"Phaseolus; Biology; Computational biology; Botany","score_opus":0.030861397675037122,"score_gpt":0.18763571440307603,"score_spread":0.1567743167280389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411250030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7823047,0.0012526175,0.21118398,0.0005642598,0.00008543628,0.000046885056,0.0021554183,0.0012994051,0.0011073557],"genre_scores_gemma":[0.9639608,0.00020459914,0.031019865,0.00011528299,0.000034155542,0.00006765346,0.00362325,0.00007711964,0.00089724414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963534,0.00017176151,0.000015030899,0.00011099004,0.000028750748,0.000038195933],"domain_scores_gemma":[0.99860257,0.00093821686,0.00010594219,0.00010549566,0.0001860823,0.00006166425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017315898,0.0008482877,0.0008633589,0.0005416181,0.00030093553,0.0005837565,0.00072553725,0.000588247,0.00046612284],"category_scores_gemma":[0.0024179732,0.00035833174,0.0010802113,0.0005772224,0.00017966343,0.0006119183,0.00055213756,0.0012085129,0.00016882815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088890374,0.000053373784,0.006805875,0.000014299396,0.00012708767,0.00002822925,0.000026040052,0.97197986,0.0006313306,0.00024523484,0.0005819738,0.01941773],"study_design_scores_gemma":[0.0000033799708,0.000012468365,0.0011954326,0.0000018815512,0.000008680561,0.000002326776,0.000005708547,0.99822634,0.00010667712,0.00033815397,0.000094878065,0.000004110548],"about_ca_topic_score_codex":0.029840006,"about_ca_topic_score_gemma":0.034182508,"teacher_disagreement_score":0.029840006,"about_ca_system_score_codex":0.00060606154,"about_ca_system_score_gemma":0.00052910665,"threshold_uncertainty_score":0.05933261},"labels":[],"label_agreement":null},{"id":"W4411345061","doi":"10.1094/phytofr-12-24-0136-r","title":"Survey of Maize Differential Gene Expression Upon Environmental Exposure to the Tar Spot Pathogen, <i>Phyllachora maydis</i>","year":2025,"lang":"en","type":"article","venue":"PhytoFrontiers™","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agricultural Research Service; U.S. Department of Agriculture; National Institute of Food and Agriculture; National Science Foundation","keywords":"Pathogen; Biology; tar (computing); Differential (mechanical device); Gene; Genetics; Engineering; Computer science","score_opus":0.014491973377634077,"score_gpt":0.18854013468745262,"score_spread":0.17404816130981854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411345061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99422246,0.00061273406,0.0007052506,0.000054892556,0.000008864203,0.000015140653,0.003916152,0.00002403871,0.00044041753],"genre_scores_gemma":[0.9848311,0.0010360074,0.002060885,0.00018735525,0.00001536006,0.000074380354,0.009835845,0.00002143374,0.0019375907],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998809,0.0000072181488,0.000005032261,0.00004346754,0.000027507132,0.00003581822],"domain_scores_gemma":[0.9998996,0.000018113222,0.00003752109,0.000005578071,0.000018594119,0.00002051182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010448478,0.0002809375,0.00030674745,0.00053217553,0.00026729138,0.0003697648,0.00011210425,0.00026415798,0.00045164544],"category_scores_gemma":[0.00012880958,0.0001272932,0.00040458157,0.00071617606,0.00018473771,0.00018768643,0.00022695962,0.00036615104,0.00015560533],"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":[0.00014070648,0.000015861877,0.0022961588,0.000039582286,0.000010554737,0.000042416985,0.000045121567,0.00005178519,0.99653566,0.000025454694,0.00003466747,0.0007621181],"study_design_scores_gemma":[0.00002171058,0.000509534,0.6949799,0.000018535753,0.00010333977,0.00037153868,0.00041745737,0.0016427218,0.29832715,0.00015716058,0.0034237201,0.000027264456],"about_ca_topic_score_codex":0.0022417798,"about_ca_topic_score_gemma":0.0025920654,"teacher_disagreement_score":0.0022417798,"about_ca_system_score_codex":0.00035692676,"about_ca_system_score_gemma":0.0002214415,"threshold_uncertainty_score":0.0044574738},"labels":[],"label_agreement":null},{"id":"W4411422842","doi":"10.21203/rs.3.rs-6759001/v1","title":"Genotype × Environment Interaction and Spatial Analysis of Sorghum [Sorghum Bicolor (L.) Moench] Genotypes in the Highland Areas of Ethiopia","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health","keywords":"Sorghum; Randomized block design; Abiotic component; Grain yield; Genotype; Biology; Yield (engineering); Sorghum bicolor; Agronomy; Gene–environment interaction; Ecology; Gene; Genetics","score_opus":0.07154812316986041,"score_gpt":0.32409396921516537,"score_spread":0.25254584604530494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411422842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996613,0.000037278412,0.00007548976,0.000004599344,0.0000014118051,7.8057536e-7,0.00013379559,0.000001749052,0.00008348452],"genre_scores_gemma":[0.99955255,0.000018128343,0.00014992099,0.000004691234,8.2396366e-7,0.0000022912732,0.00014233652,0.0000035076594,0.0001256723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956185,0.00017320097,0.000027828495,0.00014325217,0.00003433042,0.000059468373],"domain_scores_gemma":[0.99926525,0.00035420805,0.00015525926,0.00004526984,0.00007932703,0.00010065665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035426035,0.0002011566,0.0002830655,0.0010152372,0.00028708717,0.00047704173,0.00023060059,0.00017067185,0.0010038519],"category_scores_gemma":[0.0006516998,0.00016323729,0.0003551199,0.0010636983,0.00029878027,0.00014705071,0.000332766,0.00019871742,0.00012773652],"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":[0.0020667869,0.00016256204,0.87645155,0.00006468553,0.00042203156,0.00072876096,0.0010568826,0.0008806226,0.109591134,0.0003577301,0.00022119505,0.007995969],"study_design_scores_gemma":[0.0000055850946,0.00006264528,0.99830997,0.000004488803,0.00003792211,0.00014489694,0.00042705203,0.00027486568,0.00057670305,0.000031294145,0.000118538876,0.0000060865354],"about_ca_topic_score_codex":0.010316997,"about_ca_topic_score_gemma":0.015843375,"teacher_disagreement_score":0.010316997,"about_ca_system_score_codex":0.0002714565,"about_ca_system_score_gemma":0.00029575627,"threshold_uncertainty_score":0.020513892},"labels":[],"label_agreement":null},{"id":"W4411618200","doi":"10.51847/sguvpibkl0","title":"10.51847/SguVPIBKl0","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Genetics and Plant Breeding","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":"Path analysis (statistics); Path coefficient; Cultivar; Stepwise regression; Grain yield; Regression analysis; Correlation; Mathematics; Yield (engineering); Agronomy; Horticulture; Statistics; Biology; Materials science; Geometry; Metallurgy","score_opus":0.012576898651277311,"score_gpt":0.15049176307606457,"score_spread":0.13791486442478726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411618200","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010651667,0.0016883975,0.014580918,0.0023051517,0.0015718043,0.00033515182,0.006757465,0.013746841,0.9483625],"genre_scores_gemma":[0.013986103,0.0003819202,0.0044755246,0.00061427976,0.00014717848,0.00011157458,0.004514832,0.0013197084,0.9744489],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996007,0.000054154978,0.00003637749,0.00013011176,0.000107211104,0.0000714167],"domain_scores_gemma":[0.9991223,0.00012189403,0.00006273191,0.00019463497,0.00020426807,0.0002941132],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00084432494,0.001516854,0.0007821405,0.0018101403,0.0008629325,0.0029243506,0.0011660418,0.0024514173,0.9233249],"category_scores_gemma":[0.0007094452,0.00055109704,0.00068524154,0.0014371953,0.0007910704,0.0017601019,0.0027235653,0.0014363643,0.9526345],"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":[0.00044391013,0.00038630213,0.0017689896,0.00040711986,0.000023258384,0.00031352785,0.00013189948,0.00036476992,0.013330392,0.0044181845,0.13973236,0.8386794],"study_design_scores_gemma":[0.00010310944,0.00016049082,0.0035900448,0.000233564,0.000020054362,0.0007043568,0.00015990324,0.0012146105,0.0035181283,0.0024786987,0.9877885,0.000028577355],"about_ca_topic_score_codex":0.0013673962,"about_ca_topic_score_gemma":0.0009678201,"teacher_disagreement_score":0.07667512,"about_ca_system_score_codex":0.00083907525,"about_ca_system_score_gemma":0.0006095108,"threshold_uncertainty_score":0.10936773},"labels":[],"label_agreement":null},{"id":"W4412358541","doi":"10.21608/jsasj.2025.440413","title":"(Combining Ability and Gene Action Controlling Morpho-Agronomical Traits in Bread Wheat Genotypes under Non-Stressed and Drought-Stressed Conditions)","year":2025,"lang":"en","type":"article","venue":"Journal of Sohag Agriscience (JSAS)/Journal of Sohag Agriscience (JSAS) ","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Morpho; Biology; Genotype; Drought stress; Gene; Agronomy; Horticulture; Botany; Genetics","score_opus":0.02106980960800548,"score_gpt":0.24594393762076341,"score_spread":0.22487412801275794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412358541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984842,0.00019019426,0.00065365224,0.000005668542,0.0000015241724,0.000004256805,0.00037111415,0.000023812303,0.0002656719],"genre_scores_gemma":[0.9986078,0.00006518384,0.00055067363,0.000005129894,0.0000013151032,0.0000034615493,0.00053055,0.000005288657,0.00023054802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998759,0.000013124198,0.000016079444,0.0000446768,0.000033790842,0.000016457412],"domain_scores_gemma":[0.99979633,0.000035672227,0.0000803525,0.000026304957,0.000020091613,0.0000411978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023008799,0.00037279064,0.00023367195,0.0006412676,0.00014199737,0.0003222736,0.000118248325,0.00010911114,0.0006565343],"category_scores_gemma":[0.00019656423,0.00010760835,0.00029250202,0.0006590924,0.00015159383,0.00013260549,0.00029980094,0.00021043574,0.00012869344],"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":[0.0002864992,0.000044594235,0.09144395,0.0000754441,0.00012885816,0.00021969907,0.00021384686,0.00031851453,0.88798636,0.00011928985,0.000057254456,0.019105894],"study_design_scores_gemma":[0.000005814565,0.00023015823,0.9815545,0.0000026031219,0.00006150933,0.00039935345,0.000044829165,0.000616198,0.016534053,0.000074070624,0.00046571344,0.0000113408805],"about_ca_topic_score_codex":0.0019755627,"about_ca_topic_score_gemma":0.0022297364,"teacher_disagreement_score":0.0019755627,"about_ca_system_score_codex":0.00017329081,"about_ca_system_score_gemma":0.0001194118,"threshold_uncertainty_score":0.0039280653},"labels":[],"label_agreement":null},{"id":"W4413055962","doi":"10.1007/s00122-025-04984-y","title":"Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance","year":2025,"lang":"en","type":"review","venue":"Theoretical and Applied Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Department of Plant Sciences, University of California, Davis; Biological and Environmental Research; Division of Integrative Organismal Systems; Life Sciences Research Foundation; Division of Biological Infrastructure; National Institute of Food and Agriculture; National Institutes of Health; National Institute of General Medical Sciences","keywords":"Biology; Plant biochemistry; Crop; Biotechnology; Quality (philosophy); Stress (linguistics); Agriculture; Agronomy; Genetics; Ecology; Gene","score_opus":0.05126911260121199,"score_gpt":0.29831535043487967,"score_spread":0.2470462378336677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413055962","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":[0.00023931348,0.99350846,0.0023459569,0.00057428906,0.0002903317,0.000010650775,0.000032630247,0.000034523393,0.0029639627],"genre_scores_gemma":[0.001346213,0.9949024,0.0023343856,0.00028070604,0.00017757271,0.000012499682,0.0000487553,0.000009150013,0.00088835787],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996973,0.000060577302,0.000029680006,0.00007026775,0.000118956435,0.000023259186],"domain_scores_gemma":[0.99897254,0.00066107465,0.00008571629,0.00004340689,0.00018392566,0.000053370874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013649351,0.001172364,0.0012751707,0.0025689749,0.00028687515,0.0014673085,0.0011575635,0.0016067353,0.0034412045],"category_scores_gemma":[0.0013807261,0.00039475603,0.000637535,0.0023960536,0.0007876045,0.0019221909,0.001044176,0.0022093724,0.0021515337],"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":[0.000036811743,0.00006710688,0.0002245439,0.014254495,0.000104176426,0.00012871335,0.00007124026,0.001420713,0.0034431657,0.019973034,0.01076133,0.9495148],"study_design_scores_gemma":[0.0000067469873,0.00006799649,0.0005409368,0.0031495336,0.00010156455,0.00047378635,0.000062631036,0.0004002669,0.0013335991,0.0072650635,0.9865676,0.000030333445],"about_ca_topic_score_codex":0.0012670573,"about_ca_topic_score_gemma":0.0016476756,"teacher_disagreement_score":0.0034412045,"about_ca_system_score_codex":0.00087704195,"about_ca_system_score_gemma":0.0013538032,"threshold_uncertainty_score":0.0115119815},"labels":[],"label_agreement":null},{"id":"W4414887738","doi":"10.1007/978-981-95-0583-8_8","title":"Genotype × Environment Interaction: Molecular Basis and Environmental Adaptation of Demand-Led Crop Varieties","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ideotype; Adaptation (eye); Selection (genetic algorithm); Crop; Abiotic component; Plant breeding; Abiotic stress; Local adaptation; Gene–environment interaction","score_opus":0.015787059452280365,"score_gpt":0.16925912110147584,"score_spread":0.15347206164919547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414887738","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94600165,0.004648006,0.017782688,0.0006746704,0.000095808784,0.000015375685,0.00092703337,0.0002020241,0.029652756],"genre_scores_gemma":[0.9668337,0.0021708037,0.004627931,0.00022696647,0.00005681087,0.000025579622,0.0008202972,0.00017937651,0.025058527],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999044,0.000019207004,0.0000035318715,0.000038128175,0.000022407494,0.000012314271],"domain_scores_gemma":[0.99984455,0.00010288976,0.000020027115,0.000011287719,0.000009453674,0.000011777468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013790911,0.00028817588,0.000244149,0.00027526627,0.00014141297,0.0005402891,0.00047582146,0.00026908197,0.003047599],"category_scores_gemma":[0.00019407524,0.00020606673,0.00024032622,0.00041937458,0.00027133746,0.00044901253,0.0004284802,0.0006114498,0.00047038207],"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":[0.00034916986,0.00011153829,0.012381349,0.00009190057,0.000058805148,0.00084871746,0.0002808732,0.0014047183,0.922221,0.009791091,0.0010964085,0.051364433],"study_design_scores_gemma":[0.000077477336,0.00064689596,0.6712432,0.00005966818,0.00023389191,0.0038973198,0.0006762229,0.016192451,0.22706588,0.04176529,0.038007136,0.00013459634],"about_ca_topic_score_codex":0.0003870663,"about_ca_topic_score_gemma":0.0009924514,"teacher_disagreement_score":0.003047599,"about_ca_system_score_codex":0.0002919089,"about_ca_system_score_gemma":0.00009170704,"threshold_uncertainty_score":0.010195196},"labels":[],"label_agreement":null},{"id":"W4415513535","doi":"10.5376/tgg.2025.16.0007","title":"Genome-Wide Association Mapping of Salt Tolerance in Barley Germplasm","year":2025,"lang":"","type":"article","venue":"Triticeae Genomics and Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Germplasm; Hordeum vulgare; Association mapping; Abiotic stress; Single-nucleotide polymorphism; Population; Salinity; Genetic association; Genome-wide association study","score_opus":0.018784704986109825,"score_gpt":0.21147259564766574,"score_spread":0.19268789066155592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415513535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99810684,0.00022746446,0.00093816617,0.00001818353,0.000007728568,0.000007708568,0.00043113745,0.000015859458,0.00024688704],"genre_scores_gemma":[0.99739635,0.00010127831,0.0016170188,0.000014477711,0.0000037121038,0.0000091835855,0.0006324663,0.000014003456,0.00021152383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939215,0.00015317295,0.000043783748,0.00026475432,0.00007264293,0.00007343952],"domain_scores_gemma":[0.9995795,0.00012851608,0.00009831292,0.000069060385,0.00004919311,0.00007544026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009482973,0.0002949186,0.00039355084,0.0013266236,0.00047270072,0.000519677,0.00025623475,0.00024407708,0.0010408405],"category_scores_gemma":[0.0006481187,0.0001316766,0.00050788245,0.0016826263,0.0002524564,0.00013781538,0.00047455428,0.0002983994,0.00016881138],"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":[0.0017285175,0.00017840412,0.49864292,0.00018010018,0.0016779795,0.0009902412,0.0010943215,0.0008445796,0.4526634,0.00055729126,0.0005156938,0.040926572],"study_design_scores_gemma":[0.00003377358,0.000079352605,0.99373615,0.000011245281,0.00026442017,0.0002284772,0.00018119009,0.0007465846,0.0035767707,0.00012404333,0.0010072584,0.000010706014],"about_ca_topic_score_codex":0.0038557188,"about_ca_topic_score_gemma":0.0068151797,"teacher_disagreement_score":0.0038557188,"about_ca_system_score_codex":0.0002669618,"about_ca_system_score_gemma":0.00037015873,"threshold_uncertainty_score":0.007666528},"labels":[],"label_agreement":null},{"id":"W4415600658","doi":"10.1007/s11427-025-3072-3","title":"Creating inbred lines for heterosis utilization in alfalfa","year":2025,"lang":"en","type":"article","venue":"Science China Life Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Biotechnology Research Institute","funders":"National Natural Science Foundation of China","keywords":"Heterosis; Inbred strain; Hybrid; Genetic variation; Forage","score_opus":0.07659608305770135,"score_gpt":0.2961218026424329,"score_spread":0.21952571958473152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415600658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98038155,0.00028973623,0.013928834,0.000120861136,0.00007595376,0.0002992038,0.0010086094,0.00043718456,0.003458123],"genre_scores_gemma":[0.9548633,0.00075162045,0.022776568,0.00026659778,0.000034757362,0.0004159969,0.0056070294,0.00054285105,0.014741248],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933165,0.00014852185,0.00009101307,0.00014435622,0.00016320196,0.00012123977],"domain_scores_gemma":[0.9992828,0.00013834161,0.00014444363,0.00013093372,0.00010323206,0.00020018204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011037188,0.00085607724,0.00041965314,0.0016521653,0.0007860257,0.0005589504,0.0013072566,0.000605922,0.0021275806],"category_scores_gemma":[0.00046219517,0.0004583795,0.00090922887,0.00086758117,0.00033184036,0.00031472708,0.0008036504,0.0014403578,0.00065611984],"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":[0.00018514233,0.00022688028,0.00095782557,0.000042887623,0.000040810748,0.00017822358,0.0001638155,0.0002482082,0.9898886,0.0006531594,0.00011974178,0.007294679],"study_design_scores_gemma":[0.0004422565,0.001523989,0.050375234,0.000069558904,0.0007754079,0.00101661,0.0006493872,0.0054720696,0.9067064,0.00050350407,0.032321684,0.00014391073],"about_ca_topic_score_codex":0.0042171534,"about_ca_topic_score_gemma":0.008115595,"teacher_disagreement_score":0.0042171534,"about_ca_system_score_codex":0.0010238717,"about_ca_system_score_gemma":0.00071860856,"threshold_uncertainty_score":0.008385181},"labels":[],"label_agreement":null},{"id":"W4415958370","doi":"10.12688/f1000research.166848.2","title":"Identifying Adaptable Varieties of Sorghum (Sorghum bicolor L) in Tidal Swamplands and Sandy Soils by MGIDI and GGE Biplots","year":2025,"lang":"en","type":"article","venue":"F1000Research","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Sorghum; Adaptability; Biplot; Forage; Randomized block design; Arable land; Soil water; Crop","score_opus":0.03415628674024023,"score_gpt":0.26174643584399965,"score_spread":0.2275901491037594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415958370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935087,0.0000779793,0.0032248627,0.000026880802,0.000013924445,0.000051081723,0.002490662,0.00011889322,0.00048690863],"genre_scores_gemma":[0.9747133,0.00006142985,0.016440783,0.000031397052,0.0000064960827,0.0002434979,0.0073859226,0.00008630408,0.0010309174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988649,0.00034110076,0.00007265585,0.00039431598,0.00016839012,0.000158764],"domain_scores_gemma":[0.9986933,0.00066445983,0.00017602286,0.000099096374,0.0001678152,0.00019918289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011428217,0.0006738892,0.00083419797,0.0024392805,0.00050841743,0.00097422383,0.00041290908,0.00027115384,0.0020620155],"category_scores_gemma":[0.0014948382,0.00017424086,0.0010820497,0.0019916196,0.00041010405,0.0002597346,0.00058457773,0.00069740013,0.00026953773],"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":[0.017017286,0.0034845416,0.4378075,0.0007177467,0.0016008329,0.001112929,0.0016677387,0.009906926,0.37429026,0.0010798628,0.0026226055,0.14869177],"study_design_scores_gemma":[0.000100706864,0.001402187,0.97021186,0.000023163771,0.0001703593,0.00022450465,0.0007850958,0.015895082,0.008368256,0.00015072746,0.0026048364,0.00006323519],"about_ca_topic_score_codex":0.0058036735,"about_ca_topic_score_gemma":0.0067021935,"teacher_disagreement_score":0.0058036735,"about_ca_system_score_codex":0.0005649673,"about_ca_system_score_gemma":0.000496771,"threshold_uncertainty_score":0.011539757},"labels":[],"label_agreement":null},{"id":"W58547960","doi":"10.2527/2000.7882121x","title":"Investigation of genotype x environment interactions for weaning weight for Herefords in three countries.","year":2000,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Weaning; Genotype; Biology; Animal science; Genetics","score_opus":0.042030593434311266,"score_gpt":0.2316279206245127,"score_spread":0.18959732719020145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W58547960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99955434,0.0000859857,0.00011569416,0.0000069397365,0.0000022261536,0.0000023207438,0.00013545794,0.0000016073268,0.000095306656],"genre_scores_gemma":[0.998855,0.00004110151,0.00042663305,0.000015938585,0.000001964585,0.000008518376,0.0005148393,0.0000042482043,0.00013178447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820817,0.0009506232,0.000079441066,0.0004215395,0.00013887587,0.00020134801],"domain_scores_gemma":[0.99847406,0.0005868877,0.00047614038,0.00017559243,0.00014723875,0.00014005444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014924358,0.00037116863,0.00048298828,0.00079653406,0.0005218148,0.00056198897,0.00031305544,0.0002660321,0.0007040798],"category_scores_gemma":[0.0019108243,0.00020313585,0.00070667296,0.0010986646,0.0003648159,0.0001904716,0.00043075782,0.0003411067,0.00008811635],"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":[0.0001262506,0.00002260009,0.9951565,0.000008947016,0.00027855282,0.000137878,0.0002810325,0.00010594657,0.0015978975,0.000036742178,0.00005556481,0.00219204],"study_design_scores_gemma":[0.0000023244495,0.00004127666,0.999298,0.0000026324399,0.00004392558,0.00006682021,0.00024625793,0.000090101326,0.000086186425,0.0000062189897,0.00011397383,0.0000022361198],"about_ca_topic_score_codex":0.028467562,"about_ca_topic_score_gemma":0.09939144,"teacher_disagreement_score":0.028467562,"about_ca_system_score_codex":0.00047499168,"about_ca_system_score_gemma":0.0004199112,"threshold_uncertainty_score":0.05660373},"labels":[],"label_agreement":null},{"id":"W6903242650","doi":"10.1139/cjps10063","title":"Yield stability analysis of broadly adaptive triticale germplasm in southern and central Alberta, Canada, for industrial end-use suitability","year":2011,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Triticale; Germplasm; Adaptability; Biplot; Biomass (ecology); Crop; Yield (engineering); Grain yield","score_opus":0.5253199601088726,"score_gpt":0.21593439099619044,"score_spread":0.30938556911268217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903242650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947606,0.000352167,0.0012999871,0.00003167533,0.0000056927597,0.000034573197,0.0019546186,0.000053417953,0.0015073766],"genre_scores_gemma":[0.98212963,0.0003339267,0.0031605673,0.000033412278,0.0000020218206,0.000026543745,0.010123194,0.000051677398,0.004138987],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995683,0.000023193592,0.000023767217,0.00011941105,0.000177671,0.00008774842],"domain_scores_gemma":[0.99905294,0.00006508106,0.00008709788,0.000041274565,0.0006127251,0.00014085865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000695036,0.0005416777,0.00037414662,0.0016713142,0.0011269894,0.0008176277,0.0007021617,0.00016928706,0.0007992168],"category_scores_gemma":[0.0004960168,0.00015088935,0.00039522973,0.002360039,0.000394554,0.00013762052,0.00044874958,0.0003411529,0.00020523983],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019598296,0.00037137387,0.30862927,0.00018126592,0.00042060585,0.0008031006,0.003112571,0.005467306,0.57104594,0.0010741807,0.002016702,0.104917906],"study_design_scores_gemma":[0.000014688791,0.00009812079,0.98576456,0.0000112396465,0.00007878455,0.0000834292,0.0006484606,0.0021117625,0.007922709,0.00004798636,0.0031915123,0.00002668987],"about_ca_topic_score_codex":0.88106364,"about_ca_topic_score_gemma":0.9441509,"teacher_disagreement_score":0.11893636,"about_ca_system_score_codex":0.010613664,"about_ca_system_score_gemma":0.006232434,"threshold_uncertainty_score":0.23927355},"labels":[],"label_agreement":null},{"id":"W6903359040","doi":"10.1139/cjps10139","title":"Oat mega-environments and test-locations in Quebec","year":2011,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Coastal zone; Biplot; Exclusive economic zone; Dry zone; Yield (engineering)","score_opus":0.4051423363384208,"score_gpt":0.20426294141023907,"score_spread":0.20087939492818171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903359040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830115,0.0009941658,0.0011980796,0.0001869843,0.000022809478,0.00011540606,0.007137993,0.00013192638,0.0072010853],"genre_scores_gemma":[0.989754,0.00021292633,0.0013046454,0.00008844117,0.0000020148907,0.000054732947,0.0034403228,0.000044386103,0.0050984644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989592,0.00017045582,0.00004125165,0.00035368948,0.00028288332,0.00019258211],"domain_scores_gemma":[0.99712116,0.00053114374,0.00046399163,0.00018849861,0.0013686096,0.00032656288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010564588,0.00039256443,0.00042885,0.00091105764,0.0013382285,0.0013562732,0.0010944376,0.0002848594,0.0033520625],"category_scores_gemma":[0.0013641372,0.00018563788,0.0003781637,0.002339863,0.00067915005,0.0004784092,0.0005576613,0.0004351738,0.00035282236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027271174,0.00067081576,0.77216804,0.0003371237,0.0005396698,0.0008973477,0.0027533993,0.0052851653,0.045972742,0.0013363125,0.010345561,0.15696678],"study_design_scores_gemma":[0.00002661863,0.00017433692,0.9906241,0.000022807655,0.0000454222,0.00003030634,0.00071014266,0.0013306976,0.0010641689,0.000039824394,0.0059026605,0.000028916525],"about_ca_topic_score_codex":0.97647697,"about_ca_topic_score_gemma":0.99483114,"teacher_disagreement_score":0.024939481,"about_ca_system_score_codex":0.024939481,"about_ca_system_score_gemma":0.009253397,"threshold_uncertainty_score":0.18094945},"labels":[],"label_agreement":null},{"id":"W6920398937","doi":"10.60692/ntrrf-5x092","title":"Genetic Analysis of Yield and Yield Contributing Quantitative Traits in Bread Wheat Under Sodium Chloride Salinity","year":2013,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Diallel cross; Heritability; Heterosis; Cultivar; Yield (engineering); Salinity; Mating design; Additive genetic effects","score_opus":0.06564079845511998,"score_gpt":0.21006652107457463,"score_spread":0.14442572261945463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920398937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996489,0.000014010704,0.00021951276,0.0000033435485,6.079527e-7,0.0000020481298,0.000044308832,0.0000043114555,0.00006286993],"genre_scores_gemma":[0.99911016,0.00002992229,0.00030279727,0.000005352388,8.7492907e-7,0.0000049449695,0.00020977033,0.000008101474,0.00032797628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997929,0.000040089326,0.000020176662,0.00006348055,0.000056097833,0.00002730475],"domain_scores_gemma":[0.9997061,0.0000758631,0.00008923219,0.000026192918,0.000039115832,0.00006342729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023857947,0.00041343394,0.00019484267,0.0006615716,0.00015201302,0.00022046885,0.00016859101,0.00014939842,0.00036626103],"category_scores_gemma":[0.00027198522,0.00018209954,0.0002559781,0.0003516303,0.00022902623,0.0001013198,0.00023074684,0.00023291745,0.00008193988],"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":[0.00035186863,0.000044583587,0.017377647,0.000016344547,0.000040257717,0.00012360071,0.000119166645,0.00018004149,0.97947204,0.000047295736,0.00000966798,0.0022173866],"study_design_scores_gemma":[0.000038083454,0.0007212707,0.9138266,0.0000053784515,0.00013131808,0.0005587134,0.00015869498,0.0028496874,0.081186324,0.00010155007,0.00039576628,0.000026628377],"about_ca_topic_score_codex":0.0021994798,"about_ca_topic_score_gemma":0.0032694624,"teacher_disagreement_score":0.0021994798,"about_ca_system_score_codex":0.0002800534,"about_ca_system_score_gemma":0.00020632784,"threshold_uncertainty_score":0.004373312},"labels":[],"label_agreement":null},{"id":"W6920711149","doi":"10.6084/m9.figshare.13279439","title":"Additional file 3 of Population structure of Nepali spring wheat (Triticum aestivum L.) germplasm","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Guelph","funders":"","keywords":"Germplasm; Nepali; Population; Table (database); Spring (device); Population structure","score_opus":0.03848673748501666,"score_gpt":0.18809998662240135,"score_spread":0.1496132491373847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920711149","genre_codex":"dataset","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":[0.00016476947,0.000008670532,0.00037981156,0.00002813121,0.0000134230495,0.000035685112,0.99835265,0.00040111793,0.0006159015],"genre_scores_gemma":[0.005859203,0.00005372209,0.0032616726,0.00018639883,0.00003737563,0.00070456695,0.9836479,0.0013816139,0.0048675826],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992544,0.00011805799,0.0001235545,0.00024268831,0.00015163256,0.000109713954],"domain_scores_gemma":[0.989188,0.007590336,0.00057684485,0.00084656046,0.0014825873,0.00031559603],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017748626,0.0011298197,0.0015290749,0.002473163,0.0012054059,0.001732289,0.0022639094,0.00091637875,0.8514755],"category_scores_gemma":[0.01588081,0.0007218902,0.00082213996,0.0055260463,0.0003415045,0.0016388647,0.0010320098,0.0010266178,0.20234808],"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":[0.00026649857,0.00008041596,0.0032605522,0.0022622952,0.000072379495,0.00009770817,0.00013056867,0.0007355858,0.00039417876,0.00087596907,0.98283136,0.008992547],"study_design_scores_gemma":[0.0041009565,0.00020444533,0.033955805,0.0015777323,0.00026822084,0.00044295946,0.00048480296,0.0023071666,0.0016172756,0.010535844,0.94434786,0.00015701145],"about_ca_topic_score_codex":0.010993883,"about_ca_topic_score_gemma":0.017734721,"teacher_disagreement_score":0.8514755,"about_ca_system_score_codex":0.0009887301,"about_ca_system_score_gemma":0.0014870607,"threshold_uncertainty_score":0.21185213},"labels":[],"label_agreement":null},{"id":"W6920998273","doi":"10.6084/m9.figshare.28665617","title":"Genome-Wide Association Study (GWAS) for Phenotypic Traits Associated with Drought Tolerance in an Ecologically-Diverse Wheat Core Collection","year":2025,"lang":"en","type":"dissertation","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seedling; Drought tolerance; Irrigation; Drought stress; Shoot; Genotype; Water stress; Winter wheat","score_opus":0.05851181088916662,"score_gpt":0.24697837983226822,"score_spread":0.1884665689431016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920998273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847764,0.000110173256,0.0003548057,0.000016125754,0.0000038589733,0.000012056181,0.00087448664,0.00000775973,0.00014305093],"genre_scores_gemma":[0.9966509,0.0000857639,0.001066026,0.00004085595,0.000004810962,0.000028849921,0.0019279579,0.000009036276,0.00018583871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946946,0.00012043719,0.000057168636,0.0002520309,0.00005291785,0.000048046022],"domain_scores_gemma":[0.99957675,0.00010141486,0.00010964849,0.00008410931,0.000046775505,0.00008132609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006194415,0.0002920985,0.00043720414,0.0006614881,0.00048750124,0.00038393377,0.00018746142,0.00029530434,0.0010080088],"category_scores_gemma":[0.00043554962,0.00016562625,0.0005181872,0.0014839781,0.00015735911,0.00012506936,0.0003545773,0.000415413,0.00012576563],"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":[0.00090007466,0.00020268741,0.9197646,0.00008911992,0.0014493051,0.0004921407,0.00032534453,0.00021250859,0.06821993,0.000110796944,0.00043731031,0.0077963267],"study_design_scores_gemma":[0.00002277278,0.00011460897,0.9983798,0.000003676234,0.00019473585,0.00021233561,0.00008818344,0.00017015563,0.00038680807,0.000019372124,0.0004029864,0.0000044445674],"about_ca_topic_score_codex":0.0019389985,"about_ca_topic_score_gemma":0.0057617677,"teacher_disagreement_score":0.0019389985,"about_ca_system_score_codex":0.00011730819,"about_ca_system_score_gemma":0.0002111098,"threshold_uncertainty_score":0.0038554072},"labels":[],"label_agreement":null},{"id":"W6921928966","doi":"10.1139/cjps2010-035","title":"Structural equation modeling in the plant sciences: An example using yield components in oat","year":2011,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Path analysis (statistics); Seeding; Univariate; Latent variable; Plant density; Panicle; Yield (engineering); Variable (mathematics)","score_opus":0.9152969241539349,"score_gpt":0.26482786981548784,"score_spread":0.650469054338447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921928966","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":[0.46210748,0.016889282,0.46496987,0.024654064,0.0006977877,0.0010720411,0.0029612863,0.0006565898,0.02599155],"genre_scores_gemma":[0.5223335,0.010112773,0.45807305,0.0012677809,0.00020963112,0.0005478522,0.0013301889,0.00018289094,0.0059423526],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9924557,0.0064413133,0.00023425436,0.00019156004,0.00059065054,0.00008653726],"domain_scores_gemma":[0.9738964,0.023520239,0.00047406345,0.0005588603,0.0014025449,0.00014791459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015453045,0.0007139158,0.0010048557,0.0016128792,0.0010174065,0.0017887905,0.000989593,0.0014053729,0.0024309685],"category_scores_gemma":[0.017333161,0.0002911357,0.002035278,0.0071912203,0.00092171156,0.0014279248,0.0014444642,0.0025668729,0.0003278083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046811198,0.0012809809,0.10055741,0.0023861611,0.0015021026,0.0022579853,0.009654765,0.21519764,0.0022576386,0.17660469,0.026645275,0.46118727],"study_design_scores_gemma":[0.000456541,0.0010806655,0.07488064,0.001101204,0.0006722395,0.00043276654,0.0051364615,0.60718095,0.0023702763,0.20676802,0.09961074,0.00030948874],"about_ca_topic_score_codex":0.062020376,"about_ca_topic_score_gemma":0.09641036,"teacher_disagreement_score":0.062020376,"about_ca_system_score_codex":0.0030157405,"about_ca_system_score_gemma":0.0017331871,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W6926531316","doi":"10.25358/openscience-5712","title":"From DNA sequences to cell types by detecting regulatory genomic regions in sequencing data","year":2021,"lang":"en","type":"dissertation","venue":"Gutenberg Open Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsches Krebsforschungszentrum","keywords":"Epigenomics; Epigenome; Genomics; Epigenetics; DNA sequencing; Data type; Gene; Genome","score_opus":0.07538140615222741,"score_gpt":0.2789956736938372,"score_spread":0.2036142675416098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926531316","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1633901,0.0050298306,0.7382073,0.0020017028,0.00074751565,0.0007105162,0.06993643,0.011472498,0.008504126],"genre_scores_gemma":[0.20640218,0.0030313048,0.7271557,0.0014649866,0.00029786304,0.0010454023,0.057089563,0.0009987411,0.0025143032],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99621826,0.0006520706,0.0005235364,0.0014836006,0.0009646321,0.00015796839],"domain_scores_gemma":[0.98914343,0.0056305933,0.0015344012,0.0018918755,0.0015179018,0.00028170706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045076567,0.0010135068,0.0010153116,0.0076042027,0.0005512226,0.0028657182,0.0010158771,0.0012706933,0.0021630402],"category_scores_gemma":[0.018355569,0.0006790053,0.0012276471,0.007840818,0.0010715976,0.001999866,0.0017232035,0.003060325,0.0025342733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014807389,0.00044012835,0.17826909,0.002881035,0.00086651655,0.0020454237,0.004208001,0.019883106,0.20961322,0.03812084,0.02199076,0.52020115],"study_design_scores_gemma":[0.00019397776,0.0005920263,0.14494498,0.0013305704,0.00083935953,0.0025426236,0.002695013,0.15973224,0.20228794,0.20664667,0.27786246,0.0003321554],"about_ca_topic_score_codex":0.0027527302,"about_ca_topic_score_gemma":0.0026543555,"teacher_disagreement_score":0.0076042027,"about_ca_system_score_codex":0.0007749722,"about_ca_system_score_gemma":0.0013368814,"threshold_uncertainty_score":0.023839056},"labels":[],"label_agreement":null},{"id":"W6929807512","doi":"10.48660/14110158","title":"CFT/Gravity Correspondence on the Isolated Horizon","year":2014,"lang":"en","type":"other","venue":"PIRSA","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Horizon; Feature (linguistics); Sequence (biology); Boundary (topology); Set (abstract data type)","score_opus":0.024848692839447125,"score_gpt":0.20375325786341988,"score_spread":0.17890456502397276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929807512","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010818697,0.00018897116,0.0017825477,0.0012411091,0.0018304737,0.00005320156,0.0024365187,0.0013419819,0.9900433],"genre_scores_gemma":[0.0076244,0.00012509602,0.0014367924,0.0002658792,0.00032575146,0.000022333585,0.0016149977,0.0007774982,0.9878072],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999311,0.000070921844,0.00002184529,0.00014481266,0.00033463383,0.000116921765],"domain_scores_gemma":[0.998801,0.00013328937,0.000068175985,0.00024198485,0.00041117615,0.00034438883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069984957,0.0006304901,0.00056638103,0.001788078,0.0018152205,0.0027385824,0.0010870389,0.0021489523,0.66108394],"category_scores_gemma":[0.0028320288,0.00022271599,0.00045594177,0.001603325,0.0009814202,0.0014453282,0.002133382,0.0016727772,0.3927355],"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":[0.00013153121,0.000058617414,0.00031919955,0.0001239165,0.00000614996,0.00024329679,0.00010008876,0.00024313094,0.0019457795,0.04639863,0.78035355,0.17007607],"study_design_scores_gemma":[0.000007858487,0.000010844712,0.0006405279,0.00002250733,0.0000012639858,0.00008171476,0.000029363131,0.00017365297,0.00072921225,0.0036469777,0.9946503,0.000005742438],"about_ca_topic_score_codex":0.0049957237,"about_ca_topic_score_gemma":0.009776122,"teacher_disagreement_score":0.66108394,"about_ca_system_score_codex":0.0015827745,"about_ca_system_score_gemma":0.0020466666,"threshold_uncertainty_score":0.48342264},"labels":[],"label_agreement":null},{"id":"W6929931403","doi":"10.5061/dryad.dbrv15f24","title":"Vascular plant community surveys across different reindeer grazing regimes in the Fennoscandian tundra","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Grazing; Vascular plant; Species richness; Plant community; Species evenness; Tundra; Biodiversity; Abundance (ecology)","score_opus":0.11296045126033935,"score_gpt":0.2895817987002062,"score_spread":0.17662134743986688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929931403","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7883235,0.00031543282,0.00035374265,0.000052743977,0.000012277637,0.000060861334,0.2092551,0.00008374183,0.0015425418],"genre_scores_gemma":[0.5877044,0.00031921052,0.003329192,0.00009353455,0.000010905049,0.00029887244,0.40527245,0.00003950378,0.0029318442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995067,0.00007221648,0.000042492433,0.00019361089,0.00009577334,0.00008908746],"domain_scores_gemma":[0.99888307,0.00014874259,0.00032240982,0.0001646804,0.00031867914,0.00016243587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064512243,0.000284307,0.00043985422,0.002260242,0.00044117536,0.0004029945,0.00065999036,0.00037804674,0.002396072],"category_scores_gemma":[0.00085850136,0.00019099173,0.00028032454,0.002567255,0.00020816951,0.00019268811,0.00060639175,0.00025490506,0.00074477354],"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":[0.00045398498,0.00020552102,0.9390453,0.00041992113,0.00026035553,0.0002635529,0.0012878341,0.0012174604,0.007206263,0.0002051241,0.017503172,0.03193154],"study_design_scores_gemma":[0.000012752973,0.000032705135,0.99142975,0.000036971804,0.000019656973,0.0000585692,0.00037575394,0.0002600449,0.0003386436,0.00001849409,0.0074075805,0.000009067659],"about_ca_topic_score_codex":0.116006136,"about_ca_topic_score_gemma":0.29510206,"teacher_disagreement_score":0.116006136,"about_ca_system_score_codex":0.0013077896,"about_ca_system_score_gemma":0.00074867875,"threshold_uncertainty_score":0.23066181},"labels":[],"label_agreement":null},{"id":"W6930020049","doi":"10.5281/zenodo.11031724","title":"Figure 2. Canonical variate 1 and 2 in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecotype; Taxonomy (biology); Submarine pipeline; Skull; Heading (navigation)","score_opus":0.05241822590881482,"score_gpt":0.20386103239551973,"score_spread":0.1514428064867049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930020049","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81390226,0.0012660678,0.020654665,0.0016397798,0.000715222,0.0013607288,0.06583885,0.0015482614,0.09307406],"genre_scores_gemma":[0.91833186,0.0004275733,0.027132228,0.000219526,0.00007860272,0.001347169,0.034360398,0.00042578246,0.017676968],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920374,0.00022944856,0.00006177639,0.00020347857,0.00013921048,0.00016224507],"domain_scores_gemma":[0.9974885,0.00052829005,0.00030983592,0.0002245008,0.0011985446,0.00025035848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014872015,0.00062929594,0.00037856484,0.003655695,0.001050551,0.0010793185,0.0006239177,0.00046936268,0.028664323],"category_scores_gemma":[0.0037709055,0.0002554381,0.00045762642,0.002881129,0.0008855256,0.00079445593,0.0017711138,0.0010666817,0.005165562],"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":[0.002075188,0.00012218053,0.6441853,0.0006414657,0.0002560292,0.00028727777,0.0034038078,0.0020681869,0.0087915175,0.0074769487,0.13754946,0.19314255],"study_design_scores_gemma":[0.00008227565,0.00016416579,0.9241631,0.00017997822,0.0000862243,0.00045131193,0.0036879699,0.004013533,0.0009690835,0.0029308756,0.06322499,0.000046437934],"about_ca_topic_score_codex":0.017148612,"about_ca_topic_score_gemma":0.0464723,"teacher_disagreement_score":0.028664323,"about_ca_system_score_codex":0.0006241677,"about_ca_system_score_gemma":0.0008431974,"threshold_uncertainty_score":0.095891714},"labels":[],"label_agreement":null},{"id":"W6930241999","doi":"10.5281/zenodo.11712112","title":"Reckless elsie silver pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Paraphernalia; Gloom; Ridiculous; Filter (signal processing)","score_opus":0.04247552502276166,"score_gpt":0.21380839006791083,"score_spread":0.17133286504514916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930241999","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012379202,0.008783771,0.07395437,0.0054235905,0.0056304606,0.0011633121,0.011312678,0.04820481,0.8331478],"genre_scores_gemma":[0.013108396,0.004563113,0.019976882,0.0021021853,0.00054987456,0.000501127,0.012904671,0.015979875,0.9303139],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976211,0.00014652041,0.00014653285,0.00053425395,0.0012395533,0.00031206783],"domain_scores_gemma":[0.99677473,0.0005166656,0.00012767385,0.0005105883,0.0017084813,0.0003619186],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014613194,0.0031120707,0.0024600565,0.0048942994,0.0019553103,0.00353944,0.0023766423,0.00238449,0.58344054],"category_scores_gemma":[0.0048046084,0.0020912974,0.0016880762,0.0024035801,0.0013152825,0.004645033,0.0030160074,0.0057189562,0.56988555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051118166,0.00025033896,0.00037610639,0.0019998802,0.00006685408,0.0013582483,0.0004314033,0.00042418716,0.18220076,0.0045203846,0.6465635,0.16129719],"study_design_scores_gemma":[0.00007676354,0.00013950946,0.0014766196,0.00041278385,0.000044082768,0.0017297505,0.00033628367,0.00053426326,0.058142945,0.0020919775,0.93493927,0.00007583956],"about_ca_topic_score_codex":0.0019757478,"about_ca_topic_score_gemma":0.004513946,"teacher_disagreement_score":0.58344054,"about_ca_system_score_codex":0.0010592832,"about_ca_system_score_gemma":0.0017328646,"threshold_uncertainty_score":0.5941715},"labels":[],"label_agreement":null},{"id":"W6930421322","doi":"10.5281/zenodo.11716721","title":"disobedience book pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Civil disobedience; Duty; Subject (documents); Power (physics); Civil law (Civil law); Government (linguistics)","score_opus":0.03317415339730776,"score_gpt":0.20694105972156226,"score_spread":0.1737669063242545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930421322","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005264669,0.0009572115,0.00039160557,0.0011493736,0.0010932146,0.00003429482,0.0005504048,0.0007362911,0.99456125],"genre_scores_gemma":[0.0020498314,0.00077362364,0.00017653951,0.0006103384,0.00026696202,0.000017410934,0.00043314553,0.00034561576,0.9953265],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994941,0.000030478248,0.000015830268,0.000057623052,0.000337141,0.0000647593],"domain_scores_gemma":[0.9994673,0.00008415137,0.000030270983,0.00010442867,0.00021070441,0.0001032333],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002947637,0.0006366958,0.000388382,0.0011007551,0.0017788386,0.006334064,0.00060774165,0.0013544455,0.5501339],"category_scores_gemma":[0.0013734683,0.00040551074,0.00031296263,0.0011801735,0.0006045912,0.0031552583,0.0019034912,0.001901825,0.40596366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008896661,0.000018175862,0.000086302985,0.000052501997,0.0000013032095,0.00006562562,0.00011081291,0.000033037584,0.00022356896,0.0069780406,0.93886024,0.053561546],"study_design_scores_gemma":[0.0000013097632,0.0000043712557,0.00014663534,0.000029263869,6.567851e-7,0.000055434597,0.000042127474,0.000013508184,0.00008441545,0.00044493235,0.9991742,0.0000030992885],"about_ca_topic_score_codex":0.004102434,"about_ca_topic_score_gemma":0.010256243,"teacher_disagreement_score":0.44986612,"about_ca_system_score_codex":0.0010792253,"about_ca_system_score_gemma":0.0013623306,"threshold_uncertainty_score":0.6416794},"labels":[],"label_agreement":null},{"id":"W6930427912","doi":"10.5281/zenodo.11987492","title":"Autoradio vw alpha bedienungsanleitung pdf","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Frame (networking); Context (archaeology); Nucleofection; Limiting","score_opus":0.04096343191527886,"score_gpt":0.21972602932263585,"score_spread":0.178762597407357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930427912","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056482297,0.010663145,0.048509225,0.0038852235,0.0048540956,0.0010933643,0.05149332,0.022739666,0.8511137],"genre_scores_gemma":[0.012817132,0.009416654,0.031381454,0.001726921,0.0009285319,0.001229997,0.07228967,0.015541987,0.85466754],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989598,0.00009156605,0.000058470414,0.0003321698,0.0003734801,0.00018460039],"domain_scores_gemma":[0.9983845,0.00048816486,0.000048232778,0.0003432563,0.00053379685,0.0002021199],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011869395,0.0027006625,0.0019138221,0.0039195046,0.0020441592,0.004489721,0.0021635971,0.002847474,0.736437],"category_scores_gemma":[0.0023040858,0.002592371,0.0018666568,0.0026387048,0.00085425243,0.003705045,0.0017443607,0.004681198,0.5688001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008043359,0.00017102525,0.00035670464,0.002872636,0.00010584701,0.0007039842,0.00022713543,0.0004820804,0.15439478,0.007674797,0.7284431,0.103763506],"study_design_scores_gemma":[0.00008225854,0.00008363955,0.0010382846,0.0002189901,0.00005676448,0.00085677404,0.00008561475,0.00034329708,0.028276457,0.00107976,0.96783775,0.000040451498],"about_ca_topic_score_codex":0.0028713495,"about_ca_topic_score_gemma":0.004540059,"teacher_disagreement_score":0.26356298,"about_ca_system_score_codex":0.0013493391,"about_ca_system_score_gemma":0.0015802318,"threshold_uncertainty_score":0.37594056},"labels":[],"label_agreement":null},{"id":"W6930483959","doi":"10.5281/zenodo.12378367","title":"francais livre pdf","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; TSG101; Limiting; Filter (signal processing)","score_opus":0.0363344687756596,"score_gpt":0.20936530531551592,"score_spread":0.17303083653985632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930483959","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039616998,0.001024185,0.00049904606,0.0011882794,0.0028802676,0.00010332455,0.0047650314,0.0023766053,0.9867671],"genre_scores_gemma":[0.00091404654,0.00042975473,0.0002514954,0.0002708593,0.00021319909,0.000024495446,0.0013315219,0.0008781536,0.99568653],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889576,0.00008244061,0.000045545916,0.00015723347,0.0006588506,0.00016015355],"domain_scores_gemma":[0.996763,0.00025923314,0.0001007476,0.00035342237,0.001855644,0.0006678761],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009652679,0.0015717122,0.001179123,0.0028670495,0.0024995236,0.008899767,0.0016317415,0.0024976605,0.9302074],"category_scores_gemma":[0.0039718603,0.000591347,0.0010024575,0.0026637134,0.000747605,0.0046248664,0.0028441497,0.0021270714,0.90218884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031569933,0.00002401066,0.00005873931,0.00011003091,0.000002528594,0.000067008674,0.000040342762,0.000034778768,0.0002574547,0.0014195433,0.9625484,0.03540552],"study_design_scores_gemma":[0.000004409792,0.0000063763887,0.00015640774,0.000037081038,8.0839783e-7,0.000048068414,0.000033009503,0.000014136858,0.00008224183,0.00014345732,0.9994691,0.0000049050773],"about_ca_topic_score_codex":0.015486053,"about_ca_topic_score_gemma":0.029157126,"teacher_disagreement_score":0.06979263,"about_ca_system_score_codex":0.0025399511,"about_ca_system_score_gemma":0.002311093,"threshold_uncertainty_score":0.099550605},"labels":[],"label_agreement":null},{"id":"W6930956037","doi":"10.5281/zenodo.15603354","title":"Plukenetia polyadenia Mull. Arg.","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Canadian Museum of Nature","funders":"","keywords":"Herbarium; Barcode; Nomenclature; Inflorescence; Type (biology)","score_opus":0.0641589362345166,"score_gpt":0.20031242798543206,"score_spread":0.13615349175091546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930956037","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15019023,0.08095482,0.010493768,0.002581287,0.0012411885,0.000786029,0.015444374,0.0018926982,0.7364155],"genre_scores_gemma":[0.7743437,0.01644672,0.0082105175,0.0012988137,0.00039166427,0.00046175794,0.010406168,0.00033672314,0.1881039],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979,0.000014983473,0.000016194384,0.00009972225,0.00005615436,0.00002292411],"domain_scores_gemma":[0.9998392,0.000029527715,0.000054328273,0.000017011167,0.000034672245,0.000025245436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013268885,0.00070918095,0.00042171415,0.0015454891,0.0020321405,0.00085288804,0.0004469427,0.00037504456,0.021914296],"category_scores_gemma":[0.00035045063,0.00042557047,0.00027070334,0.0012178423,0.00045055323,0.0013919491,0.0012833201,0.00085428054,0.008070683],"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":[0.0003064261,0.00009409034,0.009900895,0.0011479802,0.000058481997,0.0026062566,0.0015366331,0.00036654997,0.032455456,0.0056749284,0.046467558,0.89938474],"study_design_scores_gemma":[0.000052752857,0.00014522408,0.14517008,0.00028374864,0.00010909434,0.0045120753,0.0010153564,0.00022947339,0.0028339277,0.0019849564,0.8436295,0.000033845616],"about_ca_topic_score_codex":0.012796716,"about_ca_topic_score_gemma":0.046184726,"teacher_disagreement_score":0.021914296,"about_ca_system_score_codex":0.001087918,"about_ca_system_score_gemma":0.00031062413,"threshold_uncertainty_score":0.07331067},"labels":[],"label_agreement":null},{"id":"W6931517233","doi":"10.5281/zenodo.7836132","title":"Odontoloxozus longicornis","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Adult male; Pedicel; Female sex; Male female; Black female","score_opus":0.07193336785814483,"score_gpt":0.21988374042043118,"score_spread":0.14795037256228635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931517233","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7271626,0.00899017,0.0027362844,0.00033533634,0.00019293952,0.00030663158,0.0021762003,0.00030721084,0.2577926],"genre_scores_gemma":[0.9532022,0.0020728346,0.0027413524,0.00035970827,0.00006703557,0.00011938104,0.0020777408,0.000018750981,0.03934102],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999014,0.0000070751867,0.0000045749675,0.00003651901,0.000029611052,0.00002086398],"domain_scores_gemma":[0.9999114,0.000010559299,0.00003103772,0.000008141941,0.000020431275,0.000018527957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010941162,0.00043472147,0.00022720838,0.0011751888,0.0010791492,0.00023158856,0.00032549107,0.00025101512,0.010145475],"category_scores_gemma":[0.00021084989,0.000104316234,0.0000660347,0.0007110511,0.0006417961,0.00038277401,0.0007521506,0.0002693484,0.0023641188],"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":[0.0007984607,0.00017847783,0.17659876,0.0009798773,0.00003703467,0.0027631763,0.002795937,0.00050172105,0.061805315,0.0056707566,0.016143717,0.73172677],"study_design_scores_gemma":[0.000057694542,0.00032954643,0.76131904,0.00041869466,0.00005093298,0.0035106626,0.0019042025,0.00042452407,0.0023688385,0.00078358495,0.22879492,0.000037489783],"about_ca_topic_score_codex":0.038697943,"about_ca_topic_score_gemma":0.13464773,"teacher_disagreement_score":0.038697943,"about_ca_system_score_codex":0.0010493516,"about_ca_system_score_gemma":0.0005561098,"threshold_uncertainty_score":0.076945424},"labels":[],"label_agreement":null},{"id":"W6931667733","doi":"10.5683/sp2/u5cvfz","title":"GTA Bike Surveys - Summer 2018 - Calibrated data","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Analyser; Calibration; Weather station; Automatic weather station; Data collection","score_opus":0.1296862879182666,"score_gpt":0.26836504958768476,"score_spread":0.13867876166941814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931667733","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034722185,0.00006861149,0.0002301653,0.0000412675,0.000033247463,0.000015358004,0.99466515,0.0004521851,0.0010218004],"genre_scores_gemma":[0.0027764796,0.00003242769,0.0004667751,0.000017737706,0.000009551725,0.000054921315,0.9957476,0.00006732336,0.00082732143],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99931884,0.00007461446,0.000068136826,0.00021796173,0.0002065532,0.0001138401],"domain_scores_gemma":[0.99848807,0.00009086776,0.0002664077,0.00040784152,0.00060912565,0.00013769385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000860587,0.0013306963,0.00090288784,0.0022928275,0.0004938659,0.0008994362,0.0014981406,0.00089558447,0.010100331],"category_scores_gemma":[0.0021515337,0.00046832586,0.0006486062,0.0040259776,0.0003137265,0.0006788122,0.0011358649,0.0008185472,0.018437663],"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":[0.00030932797,0.0001175384,0.030731002,0.00081831566,0.0001612752,0.00013881274,0.00018073474,0.0022008617,0.001597936,0.0008222513,0.95239085,0.010531006],"study_design_scores_gemma":[0.00018490196,0.00003953612,0.11834223,0.0001518636,0.000052525564,0.00009793509,0.00020051596,0.0011734633,0.0010832727,0.00054920994,0.8780789,0.000045745503],"about_ca_topic_score_codex":0.057071242,"about_ca_topic_score_gemma":0.11061077,"teacher_disagreement_score":0.057071242,"about_ca_system_score_codex":0.0009881703,"about_ca_system_score_gemma":0.0016456594,"threshold_uncertainty_score":0.113478124},"labels":[],"label_agreement":null},{"id":"W6958062202","doi":"10.6084/m9.figshare.13279442.v1","title":"Additional file 4 of Population structure of Nepali spring wheat (Triticum aestivum L.) germplasm","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Guelph","funders":"","keywords":"Germplasm; Nepali; Population; Genetic diversity; Spring (device); Population structure","score_opus":0.03881949288552605,"score_gpt":0.1884623008185207,"score_spread":0.14964280793299464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958062202","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019210647,0.00001081454,0.000413294,0.000031676605,0.000015647,0.00003689239,0.99829346,0.00041276598,0.0005933095],"genre_scores_gemma":[0.0076810447,0.00007191076,0.0036914628,0.00021607956,0.00004621359,0.0008142945,0.98039114,0.0014773556,0.0056105386],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99922967,0.00013288727,0.00013089855,0.00024352157,0.00015296035,0.000110106506],"domain_scores_gemma":[0.9873323,0.009193456,0.0006319311,0.0009746022,0.0015334487,0.000334197],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018040636,0.0011020477,0.0015230443,0.0024676085,0.0010491378,0.0016382586,0.002392012,0.00094555103,0.8538126],"category_scores_gemma":[0.0185442,0.0007339239,0.0008523941,0.00551474,0.00033722128,0.0016645954,0.0009685396,0.0010179436,0.19165577],"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":[0.00025793293,0.00008447158,0.0035888082,0.0026195294,0.000082352846,0.000100088306,0.0001282571,0.00083532976,0.00035797124,0.0008304626,0.9810846,0.010030144],"study_design_scores_gemma":[0.0048173973,0.00024823882,0.042074945,0.0019270784,0.0003269589,0.0005158356,0.00048778797,0.0028425911,0.0015980795,0.011363995,0.9336218,0.00017523012],"about_ca_topic_score_codex":0.009695603,"about_ca_topic_score_gemma":0.016030675,"teacher_disagreement_score":0.8538126,"about_ca_system_score_codex":0.000924353,"about_ca_system_score_gemma":0.001439265,"threshold_uncertainty_score":0.20851856},"labels":[],"label_agreement":null},{"id":"W6958226618","doi":"10.6084/m9.figshare.13279442","title":"Additional file 4 of Population structure of Nepali spring wheat (Triticum aestivum L.) germplasm","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Guelph","funders":"","keywords":"Germplasm; Nepali; Population; Genetic diversity; Spring (device); Population structure","score_opus":0.03881949288552605,"score_gpt":0.1884623008185207,"score_spread":0.14964280793299464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958226618","genre_codex":"dataset","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":[0.00019210647,0.00001081454,0.000413294,0.000031676605,0.000015647,0.00003689239,0.99829346,0.00041276598,0.0005933095],"genre_scores_gemma":[0.0076810447,0.00007191076,0.0036914628,0.00021607956,0.00004621359,0.0008142945,0.98039114,0.0014773556,0.0056105386],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99922967,0.00013288727,0.00013089855,0.00024352157,0.00015296035,0.000110106506],"domain_scores_gemma":[0.9873323,0.009193456,0.0006319311,0.0009746022,0.0015334487,0.000334197],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018040636,0.0011020477,0.0015230443,0.0024676085,0.0010491378,0.0016382586,0.002392012,0.00094555103,0.8538126],"category_scores_gemma":[0.0185442,0.0007339239,0.0008523941,0.00551474,0.00033722128,0.0016645954,0.0009685396,0.0010179436,0.19165577],"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":[0.00025793293,0.00008447158,0.0035888082,0.0026195294,0.000082352846,0.000100088306,0.0001282571,0.00083532976,0.00035797124,0.0008304626,0.9810846,0.010030144],"study_design_scores_gemma":[0.0048173973,0.00024823882,0.042074945,0.0019270784,0.0003269589,0.0005158356,0.00048778797,0.0028425911,0.0015980795,0.011363995,0.9336218,0.00017523012],"about_ca_topic_score_codex":0.009695603,"about_ca_topic_score_gemma":0.016030675,"teacher_disagreement_score":0.8538126,"about_ca_system_score_codex":0.000924353,"about_ca_system_score_gemma":0.001439265,"threshold_uncertainty_score":0.20851856},"labels":[],"label_agreement":null},{"id":"W6959004543","doi":"10.6084/m9.figshare.c.5456619","title":"Efficacy of affirmative cognitive behavioural group therapy for sexual and gender minority adolescents and young adults in community settings in Ontario, Canada","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychosocial; Coping (psychology); Young adult; Distress; Intervention (counseling); Sexual minority; Psychological distress; Cognition; Cognitive behavioral therapy","score_opus":0.07181136119249806,"score_gpt":0.23516281086870805,"score_spread":0.16335144967621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6959004543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969072,0.0004275926,0.00003139828,0.00036621193,0.000014225872,0.00020256611,0.000106408515,0.0000063452617,0.001938038],"genre_scores_gemma":[0.99674183,0.0005626737,0.00034871648,0.00020074262,0.000009085424,0.00015926518,0.000113065245,0.0000021479414,0.0018626124],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9993593,0.0001587976,0.000024111901,0.000048539147,0.00019208355,0.00021723221],"domain_scores_gemma":[0.9988795,0.000095134106,0.00011376704,0.000020244635,0.0002492959,0.00064205873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008410929,0.00017519546,0.00033325335,0.00026060577,0.002365776,0.00058167597,0.0007646552,0.00024649757,0.002373605],"category_scores_gemma":[0.0016755563,0.00016134045,0.00024014435,0.0003802936,0.00046014754,0.00017342372,0.000594644,0.0003710602,0.00015099009],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005505175,0.0142356735,0.5778014,0.00076584757,0.00014317858,0.0007024833,0.0252275,0.00041537272,0.0048128446,0.00050053414,0.008731582,0.36115843],"study_design_scores_gemma":[0.0013057449,0.0041889045,0.96745145,0.00026418458,0.00008577063,0.00009950175,0.017743865,0.00054698833,0.0005765074,0.00009569857,0.007615652,0.000025819509],"about_ca_topic_score_codex":0.93786514,"about_ca_topic_score_gemma":0.98223567,"teacher_disagreement_score":0.062134862,"about_ca_system_score_codex":0.013348917,"about_ca_system_score_gemma":0.031850804,"threshold_uncertainty_score":0.12500155},"labels":[],"label_agreement":null},{"id":"W6960472926","doi":"10.1371/journal.pmed.1003281.g003","title":"The presence of intraductal carcinoma of the prostate and adjacent usual invasive prostate cancer detected by Raman micro-spectroscopy.","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Raman spectroscopy; Prostate; H&E stain; Histology; Carcinoma","score_opus":0.018777234240376466,"score_gpt":0.19942290467291443,"score_spread":0.18064567043253796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6960472926","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726591,0.0028459136,0.0019157091,0.00021672023,0.00006902613,0.00011605001,0.014569001,0.00024062405,0.007367764],"genre_scores_gemma":[0.9928597,0.00046201327,0.0011346141,0.000069481466,0.00001372061,0.00002086568,0.0026814954,0.00002034015,0.0027377347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991524,0.0000068016134,0.0000025393338,0.000029444052,0.00002427408,0.00002165545],"domain_scores_gemma":[0.9998024,0.000029186502,0.00003682008,0.000019170826,0.000030410987,0.00008202968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018873192,0.00021243801,0.0002409944,0.0006210799,0.0002905836,0.00047557545,0.0002683211,0.00028546242,0.008457679],"category_scores_gemma":[0.00037566127,0.00018310468,0.00016762494,0.00057249854,0.00026326292,0.0001503307,0.00030964575,0.00025019105,0.0006123917],"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":[0.0047839857,0.0001717241,0.81265324,0.00044291542,0.00027628348,0.007715479,0.00044456325,0.0008535652,0.08271381,0.00067984103,0.017180216,0.07208436],"study_design_scores_gemma":[0.000029673049,0.00027468655,0.97165316,0.000046677673,0.0000875259,0.0143614905,0.0002785528,0.00089365564,0.005985284,0.00012630851,0.0062456005,0.000017426692],"about_ca_topic_score_codex":0.02012805,"about_ca_topic_score_gemma":0.043915577,"teacher_disagreement_score":0.02012805,"about_ca_system_score_codex":0.0004250102,"about_ca_system_score_gemma":0.00030980934,"threshold_uncertainty_score":0.040021777},"labels":[],"label_agreement":null},{"id":"W6960817465","doi":"10.14288/1.0176973","title":"The Cumberland News","year":2012,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"News bureau; News media; Postal service; Newspaper","score_opus":0.042999199518649805,"score_gpt":0.2311951601925299,"score_spread":0.18819596067388009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6960817465","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019213266,0.035237767,0.00024396708,0.079760954,0.07386814,0.000079593425,0.0041935346,0.00056613825,0.8041286],"genre_scores_gemma":[0.0041908002,0.011139098,0.00020940746,0.019813787,0.008084148,0.000031574575,0.001821538,0.0002453686,0.95446426],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987815,0.00010552272,0.000037207155,0.00015411293,0.00069456885,0.00022705713],"domain_scores_gemma":[0.99632436,0.0004985774,0.0001965537,0.00029990243,0.0012704635,0.0014100445],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001194685,0.0008573997,0.0004805184,0.0019586792,0.0038913721,0.0077465484,0.0008464391,0.002225063,0.2125414],"category_scores_gemma":[0.004777766,0.00033272195,0.00030209543,0.0025489342,0.0009681443,0.0024444005,0.0017705611,0.004194521,0.087600075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000115277635,0.000007926218,0.000073179006,0.000031307904,9.852675e-7,0.000049706206,0.000034626904,0.000003603402,0.00006471385,0.00077604275,0.9859737,0.012972546],"study_design_scores_gemma":[0.0000011167896,0.0000019949296,0.00033317372,0.00005017355,7.437904e-7,0.000019490228,0.00003297253,0.000002281612,0.00003661185,0.000058273537,0.99946135,0.0000018119662],"about_ca_topic_score_codex":0.03585694,"about_ca_topic_score_gemma":0.104995914,"teacher_disagreement_score":0.7874586,"about_ca_system_score_codex":0.0034776255,"about_ca_system_score_gemma":0.0048587383,"threshold_uncertainty_score":0.7110218},"labels":[],"label_agreement":null},{"id":"W6960849578","doi":"10.15139/s3/zlff8i","title":"Policy Briefs","year":2022,"lang":"en","type":"dataset","venue":"UNC Dataverse","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Work & Health","funders":"","keywords":"Variety (cybernetics); Government (linguistics); Public policy; Center (category theory); Legislation; Health care","score_opus":0.025558671906577547,"score_gpt":0.21766430815626275,"score_spread":0.1921056362496852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6960849578","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009620138,0.00012560435,0.00012539765,0.0012450862,0.00018498032,0.00008624876,0.9914306,0.00015826143,0.0065476946],"genre_scores_gemma":[0.0013544637,0.0004737425,0.0009313516,0.0021894479,0.00022320336,0.0017679493,0.97236586,0.00031675224,0.020377215],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.989673,0.0027996746,0.00181453,0.0013573002,0.003059966,0.0012955031],"domain_scores_gemma":[0.94522136,0.027879216,0.005572919,0.0059179375,0.012323653,0.0030850398],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009967149,0.0013768912,0.0015772328,0.009517068,0.002360651,0.006082608,0.0029297126,0.004066052,0.3733434],"category_scores_gemma":[0.08624654,0.0013755419,0.0015550731,0.021030013,0.0007803233,0.0040463936,0.0030346639,0.0044102366,0.20179927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029582541,0.000009202103,0.00032443326,0.00025536583,0.000006526102,0.000007228933,0.00001589147,0.000056496407,0.00000544876,0.000751593,0.9968925,0.0016457166],"study_design_scores_gemma":[0.00014042688,0.000009032995,0.001640417,0.00048589398,0.000013505191,0.000016360696,0.00011277077,0.00007763034,0.000051533953,0.0014713975,0.99596405,0.000016853532],"about_ca_topic_score_codex":0.0442542,"about_ca_topic_score_gemma":0.064247586,"teacher_disagreement_score":0.6266566,"about_ca_system_score_codex":0.005299879,"about_ca_system_score_gemma":0.018510353,"threshold_uncertainty_score":0.89384955},"labels":[],"label_agreement":null},{"id":"W6960890278","doi":"10.14288/1.0169151","title":"The Atlin Claim","year":2011,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publishing; George (robot); Subject (documents); Project commissioning; Privilege (computing)","score_opus":0.08998123309167694,"score_gpt":0.21274762768186742,"score_spread":0.12276639459019048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6960890278","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004307439,0.0047413334,0.00072550285,0.083589464,0.053534012,0.00010679788,0.0018060554,0.0009865022,0.8502029],"genre_scores_gemma":[0.016074788,0.0009875167,0.00017965467,0.009583314,0.002911944,0.000034227938,0.0006153322,0.00045162573,0.9691617],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948996,0.00021424936,0.00020509002,0.0005428142,0.0034320492,0.0007062497],"domain_scores_gemma":[0.9843423,0.0016857173,0.0005225257,0.001700776,0.009736799,0.0020119846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029184294,0.000558947,0.000744524,0.0027381475,0.010652401,0.016388398,0.0013400523,0.0071622026,0.16628629],"category_scores_gemma":[0.01919393,0.00053356495,0.0004453727,0.0022009297,0.0033305904,0.004092135,0.0038768214,0.0051344642,0.081845626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036070538,0.000011478797,0.0003653398,0.0000534881,0.0000042374863,0.00032296518,0.00029225703,0.000013156729,0.00026117227,0.014253153,0.9708075,0.013579193],"study_design_scores_gemma":[0.0000027745223,0.0000033447122,0.0005109205,0.000060844915,0.0000029566763,0.00007586512,0.0001537074,0.000019739007,0.00012377903,0.0005262473,0.9985121,0.000007789923],"about_ca_topic_score_codex":0.097996995,"about_ca_topic_score_gemma":0.14891891,"teacher_disagreement_score":0.16628629,"about_ca_system_score_codex":0.0099588055,"about_ca_system_score_gemma":0.014185783,"threshold_uncertainty_score":0.55628306},"labels":[],"label_agreement":null},{"id":"W6960978484","doi":"10.14288/1.0355950","title":"Letter from J. Corbet at The Canadian Bank of Commerce to \"Sirs\" at Rainbow Ranche, August 27, 1912","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rainbow; Bank account","score_opus":0.020877602630830966,"score_gpt":0.16666389062394965,"score_spread":0.14578628799311869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6960978484","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00405712,0.0151959695,0.0003075571,0.53959715,0.046058327,0.00014240506,0.0014595384,0.0002517455,0.39293018],"genre_scores_gemma":[0.008582801,0.0019241075,0.00015075578,0.07015514,0.0020223137,0.00002152571,0.00021921034,0.00006229259,0.91686183],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825495,0.00013175505,0.000054010525,0.00017685471,0.0009061664,0.00047624754],"domain_scores_gemma":[0.99727136,0.00027566886,0.000060484785,0.00004965971,0.0017777899,0.0005650082],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001251303,0.00050710747,0.0004864005,0.0006471003,0.009322041,0.00288157,0.00074064604,0.0064008418,0.06916658],"category_scores_gemma":[0.0065026334,0.00045657068,0.0002957332,0.0006244834,0.0011091474,0.000889885,0.0008263541,0.0069644353,0.01685546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011733316,0.0000023113437,0.00016433751,0.000005241051,7.9793534e-7,0.000077593206,0.00005375642,0.0000037823247,0.00005756331,0.0007125856,0.99780196,0.0011082955],"study_design_scores_gemma":[0.000007352001,0.000008451891,0.002000162,0.000047993082,0.000003003231,0.00012921555,0.00035452686,0.000019195757,0.00010795293,0.00022194188,0.99708277,0.000017404484],"about_ca_topic_score_codex":0.57611024,"about_ca_topic_score_gemma":0.821263,"teacher_disagreement_score":0.9308334,"about_ca_system_score_codex":0.009995151,"about_ca_system_score_gemma":0.013502132,"threshold_uncertainty_score":0.85277224},"labels":[],"label_agreement":null},{"id":"W6961009310","doi":"10.14288/1.0171943","title":"British Columbia Record","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Historical record; Publishing; Columbia university; Archaeological record","score_opus":0.03145327647944456,"score_gpt":0.20118900246419258,"score_spread":0.169735725984748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6961009310","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014233347,0.007274787,0.00030301872,0.009401982,0.009830797,0.00025728063,0.1949621,0.0010975072,0.77544916],"genre_scores_gemma":[0.004600908,0.0055238754,0.0003835646,0.0020184005,0.000603103,0.00018397428,0.0756547,0.00050448225,0.910527],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963141,0.00016556094,0.00027196502,0.00038869405,0.0022376706,0.0006220961],"domain_scores_gemma":[0.9700935,0.0010107905,0.0006290489,0.0017918501,0.023740591,0.0027341908],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015937149,0.0010561172,0.0014296263,0.011122118,0.00940034,0.012952384,0.0023854044,0.0019514145,0.38646728],"category_scores_gemma":[0.01567229,0.0006232012,0.0004625901,0.024916237,0.0013733284,0.00236751,0.0018687823,0.0028202997,0.2868901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015726808,0.0000047287135,0.0001777814,0.00008602762,0.000001964394,0.000027493954,0.000029716659,0.000008634574,0.000038815015,0.0006730777,0.9865422,0.01239378],"study_design_scores_gemma":[0.000003920043,0.0000020868072,0.0012360777,0.0001493929,0.0000023437467,0.000020020501,0.000081272636,0.000010684396,0.000041209405,0.00012406941,0.99831885,0.00001008771],"about_ca_topic_score_codex":0.8095571,"about_ca_topic_score_gemma":0.86488503,"teacher_disagreement_score":0.6135327,"about_ca_system_score_codex":0.024043469,"about_ca_system_score_gemma":0.06751497,"threshold_uncertainty_score":0.87512994},"labels":[],"label_agreement":null},{"id":"W6961131034","doi":"10.14288/1.0163183","title":"American President Warren Harding touring Vancouver","year":2011,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"George (robot); Ridiculous; Government (linguistics); Exposition (narrative)","score_opus":0.0127303592453451,"score_gpt":0.14662271666160218,"score_spread":0.13389235741625707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6961131034","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016903577,0.0044817263,0.00025503626,0.018683389,0.011760053,0.00009789456,0.0014894339,0.00037378914,0.9611683],"genre_scores_gemma":[0.0005940216,0.000410923,0.000034122102,0.0004455043,0.00006496669,0.000003835564,0.00011550912,0.000026114436,0.9983051],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935955,0.0000284781,0.000009545757,0.000078982805,0.00031569265,0.00020777412],"domain_scores_gemma":[0.9988115,0.00004144949,0.000024605599,0.000036638994,0.0006047248,0.0004810778],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004948039,0.00075777154,0.0005408136,0.0009712319,0.004810844,0.0029906612,0.0005365814,0.0023657188,0.42230442],"category_scores_gemma":[0.0009760016,0.00038446614,0.00042214332,0.00088136847,0.00046844975,0.0008376525,0.0013246547,0.002762887,0.19338912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017915285,0.000010563338,0.00022120179,0.000020018737,0.0000016262899,0.000037511658,0.000015623962,0.000021944175,0.00009775236,0.0007359469,0.98346806,0.015351849],"study_design_scores_gemma":[0.000003067207,0.0000057876628,0.0011731962,0.000019766461,0.0000019253878,0.000014885531,0.00006873194,0.000022062924,0.000042068994,0.00009077402,0.9985544,0.0000033831914],"about_ca_topic_score_codex":0.30265474,"about_ca_topic_score_gemma":0.72411394,"teacher_disagreement_score":0.69734526,"about_ca_system_score_codex":0.003213182,"about_ca_system_score_gemma":0.007909229,"threshold_uncertainty_score":0.82401264},"labels":[],"label_agreement":null},{"id":"W6961163312","doi":"10.14288/1.0397607","title":"Data from: Genetic evidence for ecological divergence in kokanee salmon","year":2020,"lang":"en","type":"dataset","venue":"Open Collections","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ecotype; Outlier; Selection (genetic algorithm); Genetic structure; Natural selection; DNA sequencing; Genetic diversity; Habitat; Genetic divergence","score_opus":0.2923870795182417,"score_gpt":0.32700199444358025,"score_spread":0.034614914925338525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6961163312","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883691,0.000033283457,0.0006354547,0.000034502384,0.000004714017,0.000022618779,0.008942058,0.0000275963,0.0019306798],"genre_scores_gemma":[0.97890913,0.00004201531,0.0019149124,0.00007948537,0.0000034998152,0.00006256264,0.017747378,0.000035180914,0.0012058673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962616,0.00003489977,0.000052979878,0.00011787754,0.000117196134,0.00005082083],"domain_scores_gemma":[0.9988732,0.00024874313,0.00021460737,0.00012616681,0.0004016872,0.00013571269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048404906,0.000101075755,0.00015499818,0.0006869124,0.00057442306,0.00035713808,0.00026941646,0.00024914628,0.004171209],"category_scores_gemma":[0.0011292289,0.0001270646,0.0001887397,0.0015549333,0.00037723026,0.00010870633,0.00035215213,0.00026498284,0.0006177303],"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":[0.00072664,0.00006176356,0.9381481,0.000120792225,0.00016739756,0.00020680994,0.001136254,0.0006133224,0.044186596,0.00025497418,0.0018453391,0.012532067],"study_design_scores_gemma":[0.000026405893,0.00003917808,0.9943457,0.00001488065,0.000049771,0.00006293012,0.0003726597,0.0003106247,0.001349096,0.00004987344,0.0033660145,0.0000127961675],"about_ca_topic_score_codex":0.10673994,"about_ca_topic_score_gemma":0.27092662,"teacher_disagreement_score":0.10673994,"about_ca_system_score_codex":0.00070017675,"about_ca_system_score_gemma":0.0009532801,"threshold_uncertainty_score":0.2122373},"labels":[],"label_agreement":null},{"id":"W6961177113","doi":"10.14288/1.0445389","title":"The Impact of Fuel Thinning on the Microclimate in Coastal Rainforest Stands of Southwestern British Columbia, Canada","year":2024,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thinning; Spring (device); Prescribed burn; Rainforest; Microclimate; Hydrology (agriculture); Snow","score_opus":0.019752467823938573,"score_gpt":0.21879338735593087,"score_spread":0.1990409195319923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6961177113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988324,0.00009367665,0.00002076949,0.000028747716,0.0000025265672,0.0000066841685,0.000294551,0.0000033206377,0.0007174384],"genre_scores_gemma":[0.99856573,0.000090917994,0.000120509394,0.00003066872,0.0000012192643,0.000007772109,0.0004344559,0.0000027797512,0.0007459696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996147,0.00003832431,0.000014613008,0.000067391986,0.00011369953,0.00015120354],"domain_scores_gemma":[0.9988268,0.00009938827,0.00012270016,0.000044881017,0.00058489875,0.00032144517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033121766,0.00030947663,0.0003526786,0.0006218911,0.0023932764,0.00084880635,0.0007272786,0.00018975542,0.0014038901],"category_scores_gemma":[0.0008100619,0.0001933573,0.00017630313,0.0010188814,0.0006407681,0.00017595953,0.00038709346,0.00032647498,0.00019924714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026254536,0.00010286544,0.98063964,0.000029100629,0.00005910965,0.00020138347,0.001307783,0.0002946502,0.0037258205,0.000045057368,0.0013565237,0.011975609],"study_design_scores_gemma":[0.0000016881601,0.000009635772,0.9988789,0.000004319893,0.0000040527875,0.000010413181,0.0007500884,0.000085522835,0.000055804787,0.0000036906965,0.00019363934,0.0000022800866],"about_ca_topic_score_codex":0.98313993,"about_ca_topic_score_gemma":0.99715036,"teacher_disagreement_score":0.016860068,"about_ca_system_score_codex":0.011875319,"about_ca_system_score_gemma":0.0075733946,"threshold_uncertainty_score":0.08616185},"labels":[],"label_agreement":null},{"id":"W6962094610","doi":"10.15468/dl.hav6m2","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Identification (biology); Software","score_opus":0.018945472996410317,"score_gpt":0.19245921107439262,"score_spread":0.17351373807798232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6962094610","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000038271417,0.0000278622,0.000040018735,0.0000280584,0.000009204509,0.0000046476607,0.99901795,0.00031268128,0.0005212937],"genre_scores_gemma":[0.00015780551,0.000033754368,0.00017732638,0.0000385612,0.000003053983,0.00003569176,0.9990415,0.00011958418,0.0003926646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990312,0.00013433525,0.00012228703,0.00034940845,0.00020970195,0.00015304492],"domain_scores_gemma":[0.9978382,0.000609846,0.00021297648,0.00052540336,0.0005605208,0.00025310426],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00091095746,0.0019580538,0.0016798915,0.004908726,0.0008800627,0.0024017857,0.0027158184,0.0019795604,0.14300275],"category_scores_gemma":[0.005403137,0.0008487304,0.0011277394,0.009565094,0.00041899615,0.0022141943,0.0023413196,0.0018999658,0.20596534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034054785,0.000012139239,0.00040832185,0.0006169328,0.000018370758,0.000015777234,0.00002178625,0.00016483381,0.00011695348,0.00038510986,0.9966787,0.0015269503],"study_design_scores_gemma":[0.00008847714,0.0000088005745,0.0019152864,0.00019779165,0.000016262755,0.000034231878,0.00006573113,0.00018435137,0.00018396956,0.0008069872,0.99648076,0.00001746067],"about_ca_topic_score_codex":0.020226737,"about_ca_topic_score_gemma":0.034664214,"teacher_disagreement_score":0.85699725,"about_ca_system_score_codex":0.0015493126,"about_ca_system_score_gemma":0.002130289,"threshold_uncertainty_score":0.47839183},"labels":[],"label_agreement":null},{"id":"W6976224234","doi":"10.60692/1c874-z0v89","title":"Interrelationship and Path Coefficient Analysis of Yield Components in F4 Progenies of Tef (Eragrostis tef)","year":2013,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Panicle; Path coefficient; Shoot; Path analysis (statistics); Grain yield; Yield (engineering)","score_opus":0.08400520546532649,"score_gpt":0.1840575489669893,"score_spread":0.10005234350166282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976224234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946994,0.00001286422,0.000259197,0.0000015562404,4.9710604e-7,0.0000019060002,0.00015768103,0.0000087608305,0.000087568165],"genre_scores_gemma":[0.99651945,0.000028476436,0.0011555323,0.0000060337443,0.0000015541847,0.000015552205,0.0016327772,0.000026615504,0.00061401876],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979347,0.000038175607,0.0000128092215,0.00008802696,0.00003766653,0.000029898669],"domain_scores_gemma":[0.99935585,0.00025114047,0.00015175052,0.000056282093,0.000099044824,0.000085978296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028303612,0.00041467173,0.00024580947,0.0013722393,0.00022483678,0.00025501687,0.00024085683,0.00013802884,0.0009460088],"category_scores_gemma":[0.00071313855,0.00021325954,0.0003111701,0.0004884737,0.00016637222,0.0001606432,0.00029105856,0.0003588755,0.00023123687],"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":[0.0006660158,0.00020754602,0.4855925,0.000054547625,0.00036644095,0.0006184137,0.00063912885,0.0013673853,0.489702,0.00027833553,0.00015634425,0.020351304],"study_design_scores_gemma":[0.0000052854375,0.00014130604,0.99445325,0.0000018040048,0.000034512843,0.0001900547,0.0000613646,0.0011075442,0.003700997,0.000038247552,0.00025232433,0.000013281914],"about_ca_topic_score_codex":0.0032116582,"about_ca_topic_score_gemma":0.00552857,"teacher_disagreement_score":0.0032116582,"about_ca_system_score_codex":0.00036007923,"about_ca_system_score_gemma":0.00016805143,"threshold_uncertainty_score":0.0063859224},"labels":[],"label_agreement":null},{"id":"W6977310935","doi":"10.6084/m9.figshare.13279439.v1","title":"Additional file 3 of Population structure of Nepali spring wheat (Triticum aestivum L.) germplasm","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Guelph","funders":"","keywords":"Germplasm; Nepali; Population; Table (database); Spring (device); Population structure","score_opus":0.03848673748501666,"score_gpt":0.18809998662240135,"score_spread":0.1496132491373847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977310935","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016476931,0.000008670515,0.00037981046,0.000028131182,0.000013423011,0.000035685043,0.99835265,0.00040111656,0.0006159003],"genre_scores_gemma":[0.0058592,0.000053721986,0.0032616649,0.00018639865,0.000037375594,0.0007045663,0.9836479,0.0013816106,0.0048675803],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992544,0.00011805777,0.00012355439,0.00024268831,0.00015163227,0.00010971374],"domain_scores_gemma":[0.989188,0.007590347,0.00057684537,0.0008465601,0.0014825873,0.00031559603],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017748626,0.001129818,0.001529072,0.0024731609,0.0012054036,0.0017322848,0.0022639064,0.000916377,0.8514755],"category_scores_gemma":[0.015880825,0.0007218888,0.000822138,0.0055260435,0.00034150365,0.0016388617,0.0010320083,0.0010266164,0.20234804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002664978,0.00008041579,0.0032605522,0.0022622908,0.00007237922,0.0000977078,0.00013056844,0.00073558406,0.00039417687,0.00087596616,0.98283136,0.008992535],"study_design_scores_gemma":[0.0041009528,0.00020444517,0.03395581,0.0015777309,0.00026822038,0.0004429593,0.00048480253,0.0023071612,0.0016172712,0.010535825,0.944348,0.00015701118],"about_ca_topic_score_codex":0.010993883,"about_ca_topic_score_gemma":0.017734721,"teacher_disagreement_score":0.8514755,"about_ca_system_score_codex":0.0009887287,"about_ca_system_score_gemma":0.0014870585,"threshold_uncertainty_score":0.21185213},"labels":[],"label_agreement":null},{"id":"W6977490700","doi":"10.6084/m9.figshare.27055528","title":"Data and code for: Betts et al. 2024 Congruent long-term declines in carbon and biodiversity are a signature of forest degradation","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Biomass (ecology); Forest degradation; Habitat; Carbon fibers; Forest ecology; Habitat destruction; Carbon sequestration","score_opus":0.10148700567087134,"score_gpt":0.2783728098753688,"score_spread":0.17688580420449745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977490700","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016041215,0.000031146672,0.0007634681,0.00026507894,0.0002065857,0.00008655362,0.9732851,0.0054680854,0.019733563],"genre_scores_gemma":[0.003024934,0.00014446913,0.005438527,0.0006556481,0.000093515606,0.0008914523,0.94018185,0.009183206,0.040386513],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891305,0.00011782277,0.00014881416,0.00025533736,0.00038642035,0.0001785402],"domain_scores_gemma":[0.99431145,0.0015506783,0.00036034637,0.0012647882,0.0019210036,0.00059168215],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019939162,0.001194693,0.001211614,0.0035283894,0.0010439005,0.004249493,0.0026305076,0.0017776086,0.73280424],"category_scores_gemma":[0.014113176,0.0009531534,0.0012067042,0.00733299,0.0005367722,0.0037116162,0.0032912975,0.0018731259,0.6086361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048766793,0.0000104679075,0.0005653897,0.0002173,0.000008322171,0.000011750365,0.0000305535,0.0001813021,0.00006033962,0.00074259355,0.99070436,0.007418843],"study_design_scores_gemma":[0.00011968956,0.000008891837,0.0023606075,0.00023119684,0.0000101218175,0.000022512584,0.000062574334,0.00037612065,0.00014365527,0.0022917027,0.99434364,0.000029246303],"about_ca_topic_score_codex":0.0228147,"about_ca_topic_score_gemma":0.032370348,"teacher_disagreement_score":0.73280424,"about_ca_system_score_codex":0.0015133864,"about_ca_system_score_gemma":0.002743127,"threshold_uncertainty_score":0.3811223},"labels":[],"label_agreement":null},{"id":"W7002157548","doi":"","title":"National Pest Alert - Palmer Amaranth (Unit=50)","year":2018,"lang":"en","type":"article","venue":"Iowa State University Digital Repository (Iowa State University)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Dysgeusia; Liquation; Emperipolesis; Triacetin; Proteogenomics","score_opus":0.019524089172206886,"score_gpt":0.16762472068490725,"score_spread":0.14810063151270036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002157548","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7445957,0.0013949475,0.019364908,0.00091127714,0.0004383639,0.0019139409,0.05470352,0.008778335,0.16789894],"genre_scores_gemma":[0.65565217,0.0015716632,0.052601498,0.0013807772,0.0001057212,0.001788599,0.1364159,0.0012005052,0.14928311],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.999716,0.000023933348,0.00001339572,0.0000771019,0.00011598465,0.000053603937],"domain_scores_gemma":[0.99966776,0.000024825596,0.00004961685,0.00004991776,0.0001139772,0.00009402074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028390987,0.00040848664,0.00031031188,0.0008064693,0.0007873208,0.000329105,0.0006280665,0.00033664584,0.023282163],"category_scores_gemma":[0.0002545335,0.00021646355,0.00031389584,0.000623914,0.0001682512,0.00042107687,0.0004657646,0.0005908224,0.00703005],"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":[0.0008554141,0.00043524313,0.010049941,0.0002807958,0.000048550042,0.00034836642,0.00015107934,0.0001625315,0.8339307,0.001036466,0.031549893,0.12115105],"study_design_scores_gemma":[0.000371716,0.0024819467,0.22862704,0.0000733591,0.0002247991,0.0017206843,0.00041317675,0.001618691,0.20200121,0.0005623122,0.5618291,0.000075982185],"about_ca_topic_score_codex":0.014149213,"about_ca_topic_score_gemma":0.036484495,"teacher_disagreement_score":0.023282163,"about_ca_system_score_codex":0.0011772246,"about_ca_system_score_gemma":0.0006780167,"threshold_uncertainty_score":0.07788664},"labels":[],"label_agreement":null},{"id":"W7043550161","doi":"","title":"Study of Genotype X Environment Interaction in Alfalfa Forage Yield","year":2024,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Forage; Yield (engineering); Gene–environment interaction; Fodder; Genotype; Cluster (spacecraft)","score_opus":0.03964306088980323,"score_gpt":0.1943958305148984,"score_spread":0.15475276962509515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043550161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996544,0.000043011285,0.00007622642,0.000008162205,0.0000015958302,0.0000019999993,0.00007306404,0.0000041029148,0.00013736558],"genre_scores_gemma":[0.9987239,0.000030412968,0.0002592635,0.000020213973,0.0000019829533,0.000005492472,0.00032356274,0.0000048624424,0.00063024263],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995877,0.00014663757,0.000013754484,0.00009245273,0.000089021385,0.00007049805],"domain_scores_gemma":[0.999332,0.00027442694,0.00013180816,0.000034539542,0.00010791368,0.00011933126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046586187,0.00022155388,0.00024976538,0.0003824102,0.00021631108,0.0003314369,0.00020911483,0.0002532085,0.00066766306],"category_scores_gemma":[0.0006502898,0.00013762944,0.00028864306,0.00031052346,0.00029121092,0.0001049327,0.00018641211,0.00034744464,0.000102978905],"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":[0.0011836824,0.00026756848,0.7994099,0.00002959845,0.00026303038,0.00037437954,0.00035267172,0.00072695134,0.18774164,0.000061598,0.00024728983,0.009341659],"study_design_scores_gemma":[0.0000024248284,0.00011400102,0.9985312,4.5363473e-7,0.000010078104,0.000024458202,0.00004492648,0.00019937099,0.0009648471,0.0000052429614,0.00009993122,0.000002931461],"about_ca_topic_score_codex":0.03915905,"about_ca_topic_score_gemma":0.13376397,"teacher_disagreement_score":0.03915905,"about_ca_system_score_codex":0.0008798719,"about_ca_system_score_gemma":0.0005215535,"threshold_uncertainty_score":0.07786226},"labels":[],"label_agreement":null},{"id":"W7083631848","doi":"10.15468/dl.tmmuyx","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","score_opus":0.018945472996410317,"score_gpt":0.19245921107439262,"score_spread":0.17351373807798232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083631848","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004293298,0.000031011357,0.00004128092,0.000031765667,0.0000107263695,0.0000052710275,0.9988638,0.00039336138,0.0005798602],"genre_scores_gemma":[0.00015358013,0.000033418015,0.00016800115,0.000043303447,0.0000031416603,0.000034374247,0.999047,0.00014160061,0.00037554096],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988663,0.00016346188,0.00014884879,0.00039023272,0.00024880262,0.00018237003],"domain_scores_gemma":[0.9974928,0.0006887341,0.00024196839,0.0006687562,0.0006090184,0.00029871217],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010991383,0.00213241,0.0017136731,0.005325424,0.00094136887,0.0026541133,0.0028976116,0.0020817511,0.14188272],"category_scores_gemma":[0.0060254233,0.00093347393,0.0012480215,0.009562993,0.00046894632,0.002205138,0.0025645285,0.002009292,0.20452864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003690567,0.000012595524,0.0003882515,0.0006364789,0.000020011448,0.000016214855,0.000023290633,0.0001398738,0.00013158374,0.00040887663,0.9967745,0.0014115502],"study_design_scores_gemma":[0.00008781568,0.000008578065,0.0018206576,0.00019541636,0.000016267893,0.000037933405,0.00006017167,0.00015231252,0.00019680934,0.0007735622,0.9966331,0.000017431661],"about_ca_topic_score_codex":0.020570442,"about_ca_topic_score_gemma":0.03458005,"teacher_disagreement_score":0.8581173,"about_ca_system_score_codex":0.0016153144,"about_ca_system_score_gemma":0.0023431245,"threshold_uncertainty_score":0.47464496},"labels":[],"label_agreement":null},{"id":"W7096425978","doi":"","title":"Associations of Local Wheat Varieties (Triticum Spp.) Grown in","year":2016,"lang":"en","type":"article","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heritability; Randomized block design; Crop; Grain yield; Yield (engineering); Genetic variability; Crop yield","score_opus":0.034681197937549965,"score_gpt":0.20588659649412436,"score_spread":0.1712053985565744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096425978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995648,0.000039231974,0.000060209153,0.0000031918476,0.000001377317,0.0000036051977,0.000155651,0.0000018461355,0.00016992792],"genre_scores_gemma":[0.9988065,0.000046075165,0.00023317392,0.0000078313915,0.0000011358051,0.000010393894,0.00043003703,0.0000025277259,0.0004623074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999826,0.000030822615,0.000020889085,0.00007302739,0.00002404929,0.000025207475],"domain_scores_gemma":[0.9997991,0.000034737142,0.00007059773,0.000019923036,0.000029679404,0.000046066576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001713345,0.0002078843,0.00022937763,0.0005602775,0.00032477564,0.00026031447,0.00011277694,0.00014416814,0.0012342881],"category_scores_gemma":[0.00021449554,0.00011764538,0.00016338647,0.000707786,0.00016898548,0.00012470674,0.00022212898,0.00017331677,0.0002302967],"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":[0.0006938802,0.00046935646,0.80719644,0.00010767633,0.0001606634,0.0013383925,0.0017950761,0.00017800616,0.1765442,0.00013960329,0.00023964724,0.011137078],"study_design_scores_gemma":[0.000004328336,0.0002739743,0.9971938,0.0000031150519,0.000017265776,0.00040887078,0.00067967526,0.000061508246,0.0010016251,0.00002512714,0.00032631677,0.0000042865518],"about_ca_topic_score_codex":0.0013757979,"about_ca_topic_score_gemma":0.00851018,"teacher_disagreement_score":0.0013757979,"about_ca_system_score_codex":0.00020971846,"about_ca_system_score_gemma":0.000103966486,"threshold_uncertainty_score":0.0041291118},"labels":[],"label_agreement":null},{"id":"W7108207847","doi":"10.5937/ratpov62-58775","title":"Genetic diversity evaluation of some agronomic traits in dill accessions using biplot model","year":2025,"lang":"en","type":"article","venue":"Ratarstvo i povrtarstvo","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Biplot; Umbel; Inflorescence; Trait; Anethum graveolens; Genetic diversity; Quantitative trait locus; Carthamus","score_opus":0.1128485657240911,"score_gpt":0.2783905171817374,"score_spread":0.1655419514576463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108207847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9446588,0.00026308722,0.048137017,0.000103802115,0.000070795126,0.00012731935,0.0044287085,0.0011550768,0.0010553113],"genre_scores_gemma":[0.9385934,0.0001272818,0.04876098,0.000063922926,0.000017681954,0.00054118986,0.009737244,0.00026823004,0.0018901494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987841,0.00059162703,0.000047797206,0.00034954364,0.00011959557,0.00010740996],"domain_scores_gemma":[0.9982504,0.0012026656,0.00012572482,0.00012476758,0.00021089993,0.00008540857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00201154,0.0011774455,0.0010588972,0.0015335864,0.00047790032,0.00080365734,0.00060087646,0.00033496288,0.0043333964],"category_scores_gemma":[0.0026002107,0.00019896464,0.0013780771,0.0020062134,0.0002604731,0.00024496813,0.00034925045,0.0008417997,0.00048477654],"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":[0.011365291,0.0051001194,0.4327927,0.0010856949,0.005147383,0.0019347869,0.0021638114,0.11850281,0.12587605,0.0030713251,0.013066339,0.2798937],"study_design_scores_gemma":[0.00020171919,0.00231999,0.5872005,0.00008105924,0.00046324966,0.0003693753,0.0005435325,0.39428234,0.0075845886,0.00082608697,0.006010742,0.0001168866],"about_ca_topic_score_codex":0.0055827834,"about_ca_topic_score_gemma":0.0036093106,"teacher_disagreement_score":0.0055827834,"about_ca_system_score_codex":0.00044901465,"about_ca_system_score_gemma":0.00049849786,"threshold_uncertainty_score":0.014496684},"labels":[],"label_agreement":null},{"id":"W7117101618","doi":"10.1093/g3journal/jkaf308","title":"Bayesian networks and structural equation models reveal genetic causal relationships between productivity, defense, and climate-adaptability traits in interior lodgepole pine","year":2025,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Natural Resources Canada; University of British Columbia; Alberta Ministry of Agriculture and Forestry; Canadian Forest Service","funders":"Genome Alberta; Forest Resource Improvement Association of Alberta; Alberta Innovates Bio Solutions; Genome British Columbia; Genome Canada","keywords":"Heritability; Structural equation modeling; Genetic correlation; Bayesian probability; Genetic model; Additive genetic effects; Tree (set theory); Mixed model; Bayesian inference","score_opus":0.05426844550594286,"score_gpt":0.23420394400499214,"score_spread":0.17993549849904927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117101618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8754402,0.00079287315,0.12176582,0.0003309341,0.000013847879,0.000027717728,0.00056504225,0.00015014746,0.00091333577],"genre_scores_gemma":[0.97804946,0.0003288957,0.020482738,0.00004105509,0.000013773259,0.000027699767,0.0006893479,0.000017784578,0.0003493665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981389,0.0012361949,0.0000678063,0.00036613081,0.000118402655,0.000072537434],"domain_scores_gemma":[0.9903357,0.007960504,0.00094774785,0.00026638826,0.00034409054,0.00014550229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004622749,0.00078736653,0.0005508494,0.0017804506,0.0004096526,0.0010811965,0.0004098809,0.00049457425,0.0010454884],"category_scores_gemma":[0.015724994,0.0006305721,0.00079538045,0.0012147108,0.00039727183,0.0011890534,0.0006839135,0.000876372,0.00013098009],"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":[0.00052006776,0.0002552186,0.6490834,0.00017065028,0.0017761263,0.0003061259,0.0010832467,0.22038299,0.002124323,0.013992122,0.0008816241,0.10942407],"study_design_scores_gemma":[0.00003975995,0.000093011324,0.15382752,0.000055864115,0.00030964654,0.00009661903,0.00022717482,0.8186466,0.00022666174,0.025600169,0.00083954725,0.000037466856],"about_ca_topic_score_codex":0.021158373,"about_ca_topic_score_gemma":0.03196242,"teacher_disagreement_score":0.021158373,"about_ca_system_score_codex":0.00069305405,"about_ca_system_score_gemma":0.00074718695,"threshold_uncertainty_score":0.04207045},"labels":[],"label_agreement":null},{"id":"W7118083965","doi":"10.71317/rjsa.003.03.0625","title":"Agro-Morphological Evaluation of Semi-Arid Wheat (Triticum aestivum L.) Genotypes for Grain Yield Improvement","year":2025,"lang":"","type":"article","venue":"Research Journal for Social Affairs","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Randomized block design; Grain yield; Crop; Yield (engineering); Genotype; Crop yield; Growing season","score_opus":0.20842499217779512,"score_gpt":0.4068418240230062,"score_spread":0.1984168318452111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118083965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991032,0.00013324301,0.0003081639,0.0000111868885,0.0000063264174,0.000019829944,0.00018529381,0.000008897123,0.00022392966],"genre_scores_gemma":[0.9960498,0.00021691811,0.001735004,0.000046528785,0.0000039267557,0.000046505447,0.0008326037,0.0000117375575,0.0010570636],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999798,0.000046355806,0.00003190229,0.000049886086,0.000046566714,0.000027192604],"domain_scores_gemma":[0.9997235,0.000043401797,0.00009795803,0.000016386533,0.000041888958,0.00007692401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037675857,0.0002978338,0.0002980883,0.00033149126,0.00020127016,0.0003130235,0.0002043346,0.0001865517,0.00074744655],"category_scores_gemma":[0.0001851267,0.000109348824,0.0003407081,0.00027287484,0.000118727614,0.00015287325,0.00022874099,0.00036397972,0.00017933465],"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":[0.000935312,0.00049407955,0.011022035,0.0000996296,0.000038364025,0.00014668811,0.000102081576,0.00012123145,0.97962165,0.0000387226,0.00006263003,0.007317596],"study_design_scores_gemma":[0.00019693763,0.01556267,0.7984114,0.000039263534,0.00027182547,0.00061278784,0.0006562309,0.0010468772,0.17927909,0.00008782792,0.0037956089,0.000039400635],"about_ca_topic_score_codex":0.00082755066,"about_ca_topic_score_gemma":0.0028629915,"teacher_disagreement_score":0.00082755066,"about_ca_system_score_codex":0.0002538525,"about_ca_system_score_gemma":0.00018979594,"threshold_uncertainty_score":0.0025004148},"labels":[],"label_agreement":null},{"id":"W7153689676","doi":"","title":"Breeding of the Evening Grosbeak in Manitoba","year":2024,"lang":"","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.0305941972735138,"score_gpt":0.16626928607061428,"score_spread":0.1356750887971005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7153689676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98745793,0.0001905287,0.0004339468,0.00016004255,0.000018625722,0.000074888776,0.00017623292,0.00004918408,0.011438653],"genre_scores_gemma":[0.95990676,0.00035831853,0.005367661,0.00021195473,0.000004726867,0.000036478203,0.00048030223,0.00008402842,0.03354979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986196,0.000023154518,0.0000032518683,0.00003350846,0.000024479868,0.00005371473],"domain_scores_gemma":[0.99972826,0.000023649303,0.000019518277,0.000013668565,0.00007322193,0.00014166934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031483214,0.0003413764,0.0003313737,0.0009138715,0.0053469418,0.00064822496,0.00089296437,0.0003537946,0.003526596],"category_scores_gemma":[0.00027632882,0.0003728893,0.00021419876,0.0011199479,0.0008079873,0.0001744613,0.00077772717,0.00046818904,0.00071081804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020030895,0.0008577037,0.44120482,0.000332998,0.00019911317,0.020201327,0.058080867,0.0014660746,0.34281963,0.0046627577,0.007548123,0.12062347],"study_design_scores_gemma":[0.000056800258,0.0007252614,0.9054792,0.00010045705,0.00009646047,0.00150536,0.036792763,0.0011379363,0.005934676,0.0002642605,0.047858074,0.000048906313],"about_ca_topic_score_codex":0.7213442,"about_ca_topic_score_gemma":0.97733045,"teacher_disagreement_score":0.27865583,"about_ca_system_score_codex":0.0029599231,"about_ca_system_score_gemma":0.0044816826,"threshold_uncertainty_score":0.5605937},"labels":[],"label_agreement":null}]}