{"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98053086,0.00007508935,0.0000015193294,0.00036312433,0.000051531584,0.00003963881,0.000007748731,0.00000924798,0.018921262],"genre_scores_gemma":[0.998867,0.000059425976,0.000119148805,0.00005646811,0.000053082338,7.325276e-7,0.0000036131532,1.1768664e-7,0.00084046414],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99938077,0.0000071312825,0.000106720516,0.0001512379,0.00021477038,0.00013934464],"domain_scores_gemma":[0.9998062,0.000022195429,0.000038052225,0.000037008624,0.00004634075,0.00005019401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003051681,0.000040587922,0.000052583564,0.0000060337734,0.00015807051,0.000047201927,0.000257161,0.000019215899,0.0009031273],"category_scores_gemma":[0.000022664919,0.000014685395,0.000020450145,0.00040545998,0.00020018732,0.000087181856,0.000015097173,0.000027157323,0.00003889092],"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":[0.0000026381379,0.0000122686615,0.0022341139,0.0000015039816,3.314925e-7,6.5225964e-7,0.000037220663,0.000020109597,0.7813477,0.0003325884,0.0002519805,0.21575889],"study_design_scores_gemma":[0.000070258,0.0002863456,0.8023106,0.000035434106,0.000005238593,0.000021555607,0.00009551359,0.00092681707,0.111251295,0.0011848578,0.08360155,0.000210564],"about_ca_topic_score_codex":0.0001781546,"about_ca_topic_score_gemma":0.00008598398,"teacher_disagreement_score":0.8000765,"about_ca_system_score_codex":0.0000046837536,"about_ca_system_score_gemma":0.000010517068,"threshold_uncertainty_score":0.988861},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004548977,0.022379765,0.000024431816,0.0006796236,0.0002547714,0.00038790517,0.000092799186,0.0001357296,0.971496],"genre_scores_gemma":[0.09642978,0.052021075,0.0034345083,0.00018142545,0.0046956553,0.00008752465,0.0002137776,0.000030106083,0.8429062],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994135,0.0000058633477,0.00009002814,0.00022907322,0.00007150513,0.00019003528],"domain_scores_gemma":[0.99976,0.00009228036,0.000058707657,0.000018883875,0.000014832195,0.000055341618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007345159,0.00014484487,0.0001716276,0.000012571217,0.00006187902,0.000102796155,0.00010086494,0.00018884202,0.0008380382],"category_scores_gemma":[0.000004471922,0.000047930924,0.000038024828,0.000020017389,0.000020405198,0.000023417988,0.00003261566,0.00005083003,0.000015019892],"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":[0.000005169173,0.000016273643,0.00007191564,0.00020135628,0.00005444219,0.0000013044095,0.00010980147,7.889443e-7,0.044823833,0.036243014,0.27116966,0.64730245],"study_design_scores_gemma":[0.000054513202,0.00018698644,0.0006383251,0.000104397834,0.000012049249,0.000004200392,0.0011441531,0.00009267183,0.00005486428,0.0014774309,0.995982,0.0002484009],"about_ca_topic_score_codex":0.000561636,"about_ca_topic_score_gemma":0.0018947303,"teacher_disagreement_score":0.7248123,"about_ca_system_score_codex":0.000001906397,"about_ca_system_score_gemma":0.000002209317,"threshold_uncertainty_score":0.9175931},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9482136,0.003272534,0.0000089858695,0.00017262566,0.000122418,0.0005713222,0.000024090303,0.000013760847,0.047600698],"genre_scores_gemma":[0.9496801,0.004795132,0.00006518503,0.00006120018,0.00012748926,0.000006480692,0.00000868523,0.0000061727915,0.045249555],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938095,0.00003106153,0.00013993656,0.00016639843,0.0001722337,0.00010940373],"domain_scores_gemma":[0.99971443,0.000079753714,0.00012970938,0.0000457895,0.0000031860513,0.000027100883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010304075,0.00013338732,0.00016254405,0.000019686435,0.00003160628,0.000007650236,0.000093608825,0.00010640624,0.0013173595],"category_scores_gemma":[0.0000043988302,0.00003740897,0.000040460494,0.000026139527,0.000062831685,0.000006659424,0.00005278767,0.00007303494,0.000029942592],"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":[0.000027977028,0.00006465151,0.00017771202,0.00006515117,0.00003478987,8.1665894e-7,0.000040388226,0.0000039066254,0.9773703,0.00011916295,0.0022979626,0.01979715],"study_design_scores_gemma":[0.00014653795,0.00097556814,0.02822839,0.00051911204,0.00007891015,0.0000050042654,0.00019206597,0.00003778638,0.5176085,0.00003269323,0.4518457,0.00032966706],"about_ca_topic_score_codex":0.00029295642,"about_ca_topic_score_gemma":0.00006877298,"teacher_disagreement_score":0.45976177,"about_ca_system_score_codex":0.000008997406,"about_ca_system_score_gemma":0.0000011214323,"threshold_uncertainty_score":0.9995956},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842876,0.00027897293,0.00011362325,0.0001940997,0.00008311213,0.000366111,0.00042402287,0.000011890836,0.00009940151],"genre_scores_gemma":[0.99922025,0.00013389441,0.00029740506,0.000044422435,0.000015536782,0.000015289716,0.0002487443,4.995736e-7,0.000023960025],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99823755,0.00021559541,0.000714143,0.00037101074,0.00021567606,0.00024601657],"domain_scores_gemma":[0.9987891,0.00058250554,0.00039327363,0.00009908824,0.00007197469,0.00006409252],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019222385,0.00013040124,0.0005524626,0.00008824494,0.000071551294,0.000028397273,0.00025607485,0.00013799226,0.0050231814],"category_scores_gemma":[0.0002765718,0.000049269987,0.00026622455,0.0007911083,0.00019644987,0.000060303297,0.00009801102,0.00006965788,0.000017407687],"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":[0.000011470998,0.00015971743,0.15286824,0.000003888809,0.000063520354,1.3435101e-7,0.000034537254,0.0003158176,0.84326947,0.000041911684,0.00002007507,0.0032112142],"study_design_scores_gemma":[0.00013971255,0.00014404781,0.94070435,0.00000873319,0.00009547501,1.372374e-7,0.00023830922,0.0006965501,0.05739607,0.00027390063,0.00019228472,0.00011043921],"about_ca_topic_score_codex":0.00085065817,"about_ca_topic_score_gemma":0.0008939851,"teacher_disagreement_score":0.78783613,"about_ca_system_score_codex":0.0000188281,"about_ca_system_score_gemma":0.000006196648,"threshold_uncertainty_score":0.9958864},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980287,0.00006751343,0.000626197,0.000115133436,0.00001822443,0.0002139857,0.0009251064,0.0000022731804,0.0000028583547],"genre_scores_gemma":[0.99856764,0.00012331875,0.00113604,0.00001016355,0.000033537002,0.000035181045,0.000070223046,0.0000018504683,0.000022062384],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873024,0.000028176562,0.00068277575,0.00021019811,0.000176025,0.00017256686],"domain_scores_gemma":[0.9981268,0.00072020496,0.00091881247,0.000055339595,0.00014846044,0.000030392135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005772775,0.000101877675,0.00048655178,0.000047792862,0.00009730893,0.000020695365,0.000093758084,0.0000744046,0.00011003822],"category_scores_gemma":[0.00024303999,0.000058599304,0.00015115604,0.000210386,0.000031248866,0.000099654455,0.00005424685,0.000065122804,1.3782558e-8],"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":[0.0001162953,0.000060864437,0.054155927,0.00003494836,0.0003891062,2.5551472e-8,0.0020790182,0.0017815283,0.9393717,0.000004228892,4.6455656e-7,0.0020058646],"study_design_scores_gemma":[0.00048626534,0.00045299664,0.21862802,0.000045926332,0.0013016961,7.4742374e-8,0.0073513724,0.06553382,0.70578676,0.00018709479,0.000054121134,0.00017186873],"about_ca_topic_score_codex":0.0074416823,"about_ca_topic_score_gemma":0.0025284586,"teacher_disagreement_score":0.23358499,"about_ca_system_score_codex":0.000059768437,"about_ca_system_score_gemma":0.000017247301,"threshold_uncertainty_score":0.99916786},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99696153,0.00007298098,0.0000014374999,0.0011476418,0.00027456527,0.000047607868,0.00021814868,0.0000029624473,0.0012731283],"genre_scores_gemma":[0.99945176,0.000026400781,0.00012829443,0.00007027881,0.00028660393,6.1775285e-7,0.0000072100356,3.229496e-7,0.000028529099],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999168,0.000022927641,0.00015240263,0.00016197025,0.00019490451,0.0002998237],"domain_scores_gemma":[0.9987868,0.000094790215,0.00012338426,0.000032700143,0.00019451135,0.00076780876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024701864,0.00007770068,0.000119975666,0.00004461715,0.00033163995,0.00033313181,0.0005940785,0.000035890538,0.0005208053],"category_scores_gemma":[0.0000625554,0.00002994259,0.000033855427,0.0002015598,0.00018939236,0.00035210734,0.000011627219,0.00010649542,0.000017043994],"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":[0.0000112863145,0.00002563134,0.2450584,0.0000010809066,0.000013979239,0.00008067099,0.002882673,0.000022469501,0.7237573,0.0023820645,0.0013917588,0.024372678],"study_design_scores_gemma":[0.000043552427,0.00020462438,0.9922089,0.00002108596,0.0000050147737,0.000040089493,0.0033389607,0.0003216514,0.00084888237,0.001988635,0.0008666129,0.000111979745],"about_ca_topic_score_codex":0.29422203,"about_ca_topic_score_gemma":0.22979821,"teacher_disagreement_score":0.7471505,"about_ca_system_score_codex":0.00008515073,"about_ca_system_score_gemma":0.0002570101,"threshold_uncertainty_score":0.784256},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987797,0.00053796597,0.00002087687,0.00015418664,0.00010324383,0.000060178685,0.0003181101,7.094509e-7,0.000025001325],"genre_scores_gemma":[0.9974319,0.00007510691,0.0024232892,0.000031279305,0.000022291484,4.1571946e-7,0.0000038023607,4.400224e-7,0.000011513231],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990442,0.000041917992,0.0003697532,0.000104949795,0.00014003698,0.0002991829],"domain_scores_gemma":[0.99852777,0.0007249123,0.00026368635,0.00002495163,0.00010810676,0.00035056163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013976967,0.00006712723,0.00028066587,0.0002889961,0.000073622825,0.000019986648,0.00022055347,0.000059968344,0.000042387845],"category_scores_gemma":[0.0004196828,0.000030801937,0.00006914869,0.0011038637,0.00017429277,0.00013576454,0.000010522968,0.000072143834,1.119898e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016325388,0.000011626625,0.28600967,0.000006074735,0.000046257097,0.000006953769,0.00059764326,0.00028761578,0.7022144,0.00020270655,0.0000490769,0.010551661],"study_design_scores_gemma":[0.0000580528,0.00017532741,0.98752147,0.000033991917,0.0001145399,0.000079472135,0.00018094518,0.00044451447,0.010541595,0.00008893932,0.00068744755,0.0000737237],"about_ca_topic_score_codex":0.0075687887,"about_ca_topic_score_gemma":0.06164158,"teacher_disagreement_score":0.7015118,"about_ca_system_score_codex":0.000017780758,"about_ca_system_score_gemma":0.000094378316,"threshold_uncertainty_score":0.9990399},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03979649,0.00021411877,0.000002063078,0.0004496192,0.0012684747,0.0006254725,0.0009083612,0.00020666006,0.9565287],"genre_scores_gemma":[0.33919156,0.006231118,0.0007799186,0.0009801169,0.002613165,0.00005764497,0.008034882,0.0000387654,0.6420728],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99683374,0.000018427942,0.00087110925,0.00084673223,0.00065241085,0.0007775568],"domain_scores_gemma":[0.99892366,0.00029058973,0.000366053,0.00008819702,0.00010159452,0.0002299295],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005562085,0.00064819143,0.0006858515,0.00014629628,0.0002879611,0.00023161573,0.0007041111,0.000714992,0.0018609659],"category_scores_gemma":[0.00005098869,0.00029337456,0.00010810137,0.0002567861,0.000050276645,0.00013771694,0.0003047604,0.00065259665,0.00014967482],"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":[0.0011010289,0.0002974172,0.040973097,0.0002906948,0.0007127568,0.004482886,0.0012304696,0.000038667167,0.051594127,0.030816779,0.11246862,0.7559935],"study_design_scores_gemma":[0.0003717727,0.00022939064,0.013432908,0.0012288333,0.00003411598,0.00042853784,0.000112863105,0.00006382417,0.00024020844,0.0013403842,0.9812403,0.0012769045],"about_ca_topic_score_codex":0.00034299606,"about_ca_topic_score_gemma":0.0022400394,"teacher_disagreement_score":0.8687716,"about_ca_system_score_codex":0.00019241344,"about_ca_system_score_gemma":0.00006552349,"threshold_uncertainty_score":0.99995184},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987946,0.00013972676,0.000012090998,0.00063189515,0.00006749534,0.00011333535,0.000057069898,7.518192e-7,0.00018304419],"genre_scores_gemma":[0.99915236,0.000004069295,0.00077154353,0.000020114076,0.000042757416,0.0000016529567,0.0000014622076,2.7150278e-7,0.000005784683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925596,0.000035685705,0.00023237012,0.00011997017,0.00013339496,0.0002226239],"domain_scores_gemma":[0.99864477,0.00079577405,0.00017081459,0.000032188305,0.00018588679,0.0001705542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013334111,0.000051919105,0.00011602311,0.000034928787,0.0002633567,0.00019707042,0.0002788839,0.000019393276,0.000021270229],"category_scores_gemma":[0.00068007887,0.000018331168,0.000020416212,0.0003843657,0.00025159036,0.00027827127,0.000017491786,0.0000754097,2.665796e-7],"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":[0.0000027103356,0.0000063985563,0.64165056,0.000009388463,0.0000017020969,0.0000089735195,0.00058852305,0.000110390116,0.34892803,0.000059027367,0.000049876722,0.008584428],"study_design_scores_gemma":[0.000053321415,0.00008493137,0.99233025,0.00007891598,0.0000033633464,0.000095943215,0.0017579013,0.0026604491,0.0018891202,0.00078827085,0.000202339,0.00005519578],"about_ca_topic_score_codex":0.010421264,"about_ca_topic_score_gemma":0.014614746,"teacher_disagreement_score":0.3506797,"about_ca_system_score_codex":0.000021005986,"about_ca_system_score_gemma":0.00014051348,"threshold_uncertainty_score":0.99616843},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989484,0.000079282974,0.00000859584,0.00051374745,0.00024682807,0.00011528669,0.0000062023178,0.000009728354,0.00007193415],"genre_scores_gemma":[0.9989885,0.000015932996,0.00057178433,0.000017123446,0.00037846496,0.0000013396765,0.000001155515,3.1999926e-7,0.000025367506],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990302,0.000014415576,0.00021833934,0.00015592811,0.00035134942,0.00022977704],"domain_scores_gemma":[0.99895215,0.000111987574,0.00020284927,0.0000166738,0.0004938994,0.00022244627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086252036,0.00008783172,0.00013142766,0.000016033695,0.00025140966,0.00020379662,0.00022802153,0.000049345523,0.000009522707],"category_scores_gemma":[0.00020205246,0.000027038082,0.00004185852,0.00037010643,0.00010374092,0.00045037892,0.000047278525,0.0001143499,7.7252884e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024264458,0.000018718341,0.10228956,0.000003679199,0.000004586983,5.0269176e-7,0.0001776637,0.000016534297,0.89038056,0.000095205934,0.00018450557,0.0068042455],"study_design_scores_gemma":[0.00007806723,0.00057285087,0.9495325,0.00001924852,0.000010311032,0.000052841082,0.0004028791,0.00001799061,0.048723664,0.00040433323,0.00009519652,0.00009011062],"about_ca_topic_score_codex":0.0004110481,"about_ca_topic_score_gemma":0.00051486,"teacher_disagreement_score":0.84724295,"about_ca_system_score_codex":0.0000417005,"about_ca_system_score_gemma":0.000016966214,"threshold_uncertainty_score":0.19652155},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981259,0.0004931619,2.5847865e-7,0.0010151658,0.00004524526,0.0002574203,0.000011907648,0.000013273602,0.000037637015],"genre_scores_gemma":[0.999613,0.00023430043,0.00013154936,0.0000027908736,0.0000053403282,0.000008613912,0.0000027121362,2.1983679e-7,0.0000014820141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990132,0.000020600468,0.00023160095,0.0003328179,0.00016258837,0.0002391872],"domain_scores_gemma":[0.9995365,0.00006996658,0.00009572804,0.000047333324,0.00017212947,0.00007835442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000303641,0.00010652887,0.00020505153,0.0000432886,0.0001271341,0.000024461895,0.00017947618,0.000075187854,0.0000164694],"category_scores_gemma":[0.00014499757,0.000038131624,0.000015309493,0.00090644916,0.001108596,0.00018371474,0.00024672897,0.00011106535,4.0335087e-7],"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":[0.0000016443793,0.000028245022,0.46926206,0.000016331993,8.92825e-7,7.5327755e-8,0.000094076735,1.5884778e-7,0.40186155,0.00014787796,0.0000050801814,0.12858199],"study_design_scores_gemma":[0.00007920047,0.00017199246,0.98603666,0.00003305976,0.000003570606,0.000009770114,0.001409509,0.00011820228,0.010921987,0.0010799727,0.00004107317,0.000095011535],"about_ca_topic_score_codex":0.00025265463,"about_ca_topic_score_gemma":0.00038314663,"teacher_disagreement_score":0.5167746,"about_ca_system_score_codex":0.000012740946,"about_ca_system_score_gemma":0.000007809327,"threshold_uncertainty_score":0.40846685},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992064,0.00012153305,8.464814e-7,0.0003367842,0.00009198206,0.000066475994,0.000015464388,0.0000017444803,0.0001587583],"genre_scores_gemma":[0.9997603,0.000018543107,0.0001460379,0.000008302943,0.000054946966,2.9321325e-7,9.423651e-7,1.9050444e-7,0.000010428714],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987769,0.00004754046,0.00034485108,0.00015342563,0.00048706925,0.00019018515],"domain_scores_gemma":[0.9993244,0.00007239196,0.00024119864,0.000031096355,0.00011815087,0.00021280862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014034741,0.00008198804,0.0001764313,0.000014977502,0.000059181002,0.00003813242,0.0003004711,0.000032231175,0.000026158828],"category_scores_gemma":[0.0001598688,0.000025318523,0.00004243881,0.00036175712,0.00021996202,0.00023787213,0.00008550796,0.00011133363,0.0000016659291],"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":[0.00001823899,0.00005525118,0.26866707,0.000002052235,0.0000014842651,0.0000014128905,0.00043841344,0.00001702959,0.7256571,0.000008148263,0.000014784483,0.00511904],"study_design_scores_gemma":[0.00012911962,0.00029764566,0.982888,0.000016772505,0.000003860626,0.00004426333,0.004033537,0.000026311018,0.01220682,0.00014133443,0.00014180616,0.000070536116],"about_ca_topic_score_codex":0.00025870086,"about_ca_topic_score_gemma":0.00041676432,"teacher_disagreement_score":0.71422094,"about_ca_system_score_codex":0.00005251732,"about_ca_system_score_gemma":0.000023184477,"threshold_uncertainty_score":0.10324594},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61714417,0.0032644502,0.004562512,0.008869815,0.0032896094,0.0145884855,0.009023512,0.00032382243,0.33893365],"genre_scores_gemma":[0.85945725,0.0002080834,0.02853819,0.0011125152,0.007504823,0.0001951434,0.00058710756,0.000045551118,0.102351315],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994556,0.000014299477,0.000106733954,0.00016149673,0.0000992166,0.00016267662],"domain_scores_gemma":[0.9997914,0.000015828253,0.000076658405,0.000033429602,0.000024935096,0.00005777413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015761597,0.000100430676,0.00013325024,0.0000164164,0.000052738404,0.00002874855,0.00016419785,0.00008810081,0.00016231278],"category_scores_gemma":[0.000005297418,0.000030567953,0.000044806675,0.000091526905,0.000008427636,0.000007542185,0.0000662442,0.000024807163,0.000014873025],"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":[0.00024170065,0.00013025476,0.00021429779,0.00020729685,0.00013444938,0.0000017234871,0.0018408565,0.0034104022,0.4678113,0.0012128506,0.24146019,0.28333467],"study_design_scores_gemma":[0.0002516857,0.0009370479,0.0041548186,0.00027555283,0.00015595378,0.000007971136,0.0030592575,0.016324604,0.0008967695,0.0003074832,0.97276574,0.0008631079],"about_ca_topic_score_codex":0.0011190407,"about_ca_topic_score_gemma":0.0020321892,"teacher_disagreement_score":0.73130554,"about_ca_system_score_codex":0.0000075437397,"about_ca_system_score_gemma":0.0000039944052,"threshold_uncertainty_score":0.1777211},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987827,0.00033747475,0.0000037466173,0.00013623836,0.00008034963,0.000055170647,0.00016944243,0.0000014631567,0.00043342446],"genre_scores_gemma":[0.9996858,0.000034395394,0.00020873701,0.00002881783,0.000026083691,4.7682036e-7,0.0000013345015,3.6359904e-7,0.000013958863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992428,0.000021339485,0.00020721233,0.00012380237,0.00016473804,0.00024009595],"domain_scores_gemma":[0.99932677,0.00007315275,0.00011835112,0.000017217628,0.00010879257,0.00035570803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033546885,0.000071036106,0.00013676172,0.00006700827,0.00011936998,0.00002223351,0.000245347,0.000039574163,0.000037462953],"category_scores_gemma":[0.00003600177,0.000028735596,0.000015951477,0.0004431616,0.00020040563,0.00015866155,0.000009173904,0.00012701923,6.983569e-7],"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":[0.00007158456,0.00007981161,0.72136474,0.0000145345275,0.000008690091,0.00096266204,0.0017867009,0.0001272459,0.26263177,0.0022940726,0.00018211683,0.010476079],"study_design_scores_gemma":[0.00013375614,0.0004967108,0.9943043,0.00014315586,0.0000064476544,0.00095822266,0.0005802153,0.00021757322,0.0027031961,0.000090328824,0.0002623967,0.00010369989],"about_ca_topic_score_codex":0.001239449,"about_ca_topic_score_gemma":0.040436972,"teacher_disagreement_score":0.27293956,"about_ca_system_score_codex":0.000021213464,"about_ca_system_score_gemma":0.00016489743,"threshold_uncertainty_score":0.97707254},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939015,0.0013718728,0.000009283122,0.00081146817,0.00041026575,0.00036222505,0.00006368051,0.00008390614,0.0029858274],"genre_scores_gemma":[0.9988667,0.00018166356,0.00031342916,0.00024489453,0.00015739804,0.00004461971,0.000088466004,0.000003349124,0.000099523146],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99787796,0.000096619064,0.0004436062,0.0005312796,0.00039295803,0.0006576091],"domain_scores_gemma":[0.99913853,0.00037985094,0.00012654954,0.00009736669,0.00009699462,0.00016073337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006107506,0.00029328265,0.00039981326,0.00004871801,0.00022938802,0.00014807543,0.00038253324,0.00015744215,0.00015373724],"category_scores_gemma":[0.00017202046,0.00014106938,0.00012156067,0.00039051243,0.00009536843,0.00013800693,0.00023397554,0.00021897619,0.0000769719],"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":[0.000010413821,0.000044487853,0.00812056,0.000022677908,0.000030836192,0.00008592778,0.00026851034,0.000045214896,0.9826222,0.00080573244,0.0014708029,0.0064726328],"study_design_scores_gemma":[0.0026454108,0.002020691,0.80672705,0.0018171802,0.00018713379,0.000942565,0.0068047135,0.011734653,0.1061716,0.016744059,0.039888624,0.004316333],"about_ca_topic_score_codex":0.00023524978,"about_ca_topic_score_gemma":0.00048838014,"teacher_disagreement_score":0.8764506,"about_ca_system_score_codex":0.000058939095,"about_ca_system_score_gemma":0.000007958286,"threshold_uncertainty_score":0.5752643},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988723,0.00028632197,4.4061704e-7,0.0001097088,0.00012630668,0.0000526056,0.00016142067,7.39425e-7,0.0003901478],"genre_scores_gemma":[0.9996983,0.00007957294,0.00016071062,0.00001833482,0.000024099647,2.3853346e-7,0.000002436087,4.6160588e-7,0.000015867821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896854,0.000020308811,0.00033743435,0.000115249815,0.00030134327,0.00025715167],"domain_scores_gemma":[0.99912024,0.00006449056,0.00025627538,0.00004783932,0.00006339614,0.0004477521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073135644,0.00007861549,0.00018413305,0.00008745908,0.00007855006,0.000028201131,0.0004396743,0.000042500375,0.000009577639],"category_scores_gemma":[0.00012905759,0.000037357648,0.000024987763,0.00033446623,0.00033491373,0.0001849014,0.000036842346,0.00011652523,6.259613e-7],"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":[0.00003266154,0.000013997399,0.69675034,0.000011265245,0.0000046409964,0.000043481312,0.0004134995,0.00012020184,0.29996327,0.00009667002,0.000094540344,0.0024554278],"study_design_scores_gemma":[0.00042546412,0.0005467577,0.9613638,0.00026298693,0.000009675048,0.0002815009,0.00045874203,0.00016273797,0.034241594,0.00015559512,0.0019479657,0.00014321346],"about_ca_topic_score_codex":0.0036977427,"about_ca_topic_score_gemma":0.005752289,"teacher_disagreement_score":0.26572168,"about_ca_system_score_codex":0.000038593807,"about_ca_system_score_gemma":0.00023431468,"threshold_uncertainty_score":0.5589906},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715424,0.0002726659,0.0003575373,0.0011662559,0.00009172687,0.00026405987,0.00031480208,0.000021782591,0.00035695542],"genre_scores_gemma":[0.9991868,0.00002286274,0.0005551192,0.000075398944,0.000055333854,0.000017936218,0.000037736423,5.768918e-7,0.000048237293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897623,0.00013843666,0.00029279513,0.00025391922,0.00012177789,0.00021683333],"domain_scores_gemma":[0.99839425,0.0011928655,0.00006157096,0.000042491494,0.00022751432,0.000081335456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012555169,0.00012112613,0.00031945165,0.000008978739,0.0000906534,0.0000275614,0.00011211321,0.00014915816,0.00003125398],"category_scores_gemma":[0.0005305382,0.000043082266,0.00005806261,0.00014879949,0.0002229324,0.00004766529,0.00011691989,0.00010300295,0.0000010190296],"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":[0.00018492747,0.000761537,0.90922344,0.00013383896,0.000112235866,0.0000027076198,0.008560054,0.00005561231,0.048315234,0.019027142,0.0015062327,0.012117054],"study_design_scores_gemma":[0.0006353581,0.0011417638,0.90867543,0.00002414642,0.000025947893,0.000006300983,0.032164022,0.00053648633,0.0032344875,0.052162774,0.001074307,0.00031894862],"about_ca_topic_score_codex":0.00038201676,"about_ca_topic_score_gemma":0.0015786302,"teacher_disagreement_score":0.045080747,"about_ca_system_score_codex":0.00003223921,"about_ca_system_score_gemma":0.000013716075,"threshold_uncertainty_score":0.17568439},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846196,0.00020703328,0.0000020852588,0.000093787115,0.00004369378,0.000024188726,0.000066062865,3.315765e-7,0.0011008629],"genre_scores_gemma":[0.99970925,0.000034989527,0.00021017856,0.000014537388,0.000015357038,1.6952391e-7,0.0000012235733,1.2236853e-7,0.000014157171],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992833,0.00003070339,0.00017221447,0.00009674705,0.0001837961,0.00023322228],"domain_scores_gemma":[0.9993721,0.00008653252,0.00008059665,0.000023807534,0.00014822223,0.0002887268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017930067,0.000034888028,0.000118556956,0.00028582715,0.00012904643,0.000039380455,0.00032213915,0.000022912147,0.0001343997],"category_scores_gemma":[0.00009291495,0.00001476045,0.000023191864,0.0016620969,0.00031350442,0.00009926338,0.000014619391,0.00010226389,6.571733e-7],"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":[0.000013600665,0.000010918891,0.93079954,0.0000026438258,0.000021937303,0.000102179394,0.0013991612,0.00006933671,0.058503985,0.0015257755,0.0001437539,0.007407191],"study_design_scores_gemma":[0.000028748758,0.00008312911,0.99706215,0.000025381873,0.000011480512,0.000028705277,0.00037889,0.00022681449,0.0009723515,0.00024153272,0.00090060075,0.00004019843],"about_ca_topic_score_codex":0.030570325,"about_ca_topic_score_gemma":0.1897076,"teacher_disagreement_score":0.15913728,"about_ca_system_score_codex":0.000023287848,"about_ca_system_score_gemma":0.0001817642,"threshold_uncertainty_score":0.9758852},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804264,0.00028328717,0.00008907126,0.0003720544,0.00042010337,0.0002996305,0.000057293255,0.000019914256,0.000415995],"genre_scores_gemma":[0.9972794,0.000071369206,0.0020625915,0.00021190387,0.0001445017,0.000019393938,0.000015424266,0.0000012474194,0.0001941852],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979738,0.000039493207,0.0003762066,0.00056920474,0.000560428,0.000480879],"domain_scores_gemma":[0.99936026,0.00010277793,0.00017440646,0.00011421159,0.00002772147,0.0002205951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011548693,0.00017030632,0.0002474293,0.00003609005,0.00023779992,0.00025405575,0.00060071086,0.000057807534,0.00019066698],"category_scores_gemma":[0.00017296936,0.00007288391,0.000046048517,0.00042152376,0.00015737262,0.00013025588,0.00031715957,0.00009658784,0.00008816334],"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":[0.000022245762,0.00011713525,0.06465659,0.0000049498867,0.000009893274,0.00004671147,0.00013796611,0.00061883044,0.8942251,0.00006603391,0.00054423587,0.039550252],"study_design_scores_gemma":[0.0003574079,0.00012852771,0.9701838,0.0000774558,0.000016338394,0.0000018536336,0.00050046574,0.0011747723,0.020570243,0.0007444929,0.005963917,0.00028073802],"about_ca_topic_score_codex":0.0018847367,"about_ca_topic_score_gemma":0.0002681948,"teacher_disagreement_score":0.9055272,"about_ca_system_score_codex":0.00009395822,"about_ca_system_score_gemma":0.00001576616,"threshold_uncertainty_score":0.29721195},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048169116,0.98808414,0.000446204,0.00007367824,0.00019301262,0.0006485736,0.00048321843,0.0000873343,0.0051669404],"genre_scores_gemma":[0.09398926,0.90496206,0.00024072113,0.000077275494,0.00047777075,0.0000123831815,0.00019968904,0.000007502178,0.000033354263],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977878,0.000078874415,0.00043210838,0.00065633695,0.00045335034,0.0005915693],"domain_scores_gemma":[0.9989525,0.0003117439,0.0001668176,0.00011079135,0.000033130782,0.00042498673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036871902,0.00052984804,0.0010359887,0.00003387496,0.0005341629,0.00017438045,0.00048861373,0.00049815077,0.00014680743],"category_scores_gemma":[0.000007537387,0.00022314744,0.00018023339,0.00023336249,0.00043891507,0.000014390788,0.0010716164,0.0003992482,0.000034647866],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002264423,0.000048744478,0.0000264229,0.00076354935,0.00010383013,0.000013098938,0.00010841259,0.00003391989,0.00014058924,0.13097951,0.00036633035,0.86739296],"study_design_scores_gemma":[0.00043199817,0.000537181,0.0001296732,0.0017500246,0.0018258938,0.00027822924,0.00044440592,0.0013072743,0.000016355316,0.53594226,0.45499757,0.0023391712],"about_ca_topic_score_codex":0.000006572949,"about_ca_topic_score_gemma":0.0000126733885,"teacher_disagreement_score":0.8650538,"about_ca_system_score_codex":0.00008438091,"about_ca_system_score_gemma":0.000026444512,"threshold_uncertainty_score":0.90996885},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99930507,0.00007176152,0.000009711976,0.00006182788,0.0003399185,0.00005835207,0.00007171016,0.0000016212597,0.00008004738],"genre_scores_gemma":[0.9994952,0.000006661119,0.00025868177,0.000018375635,0.0002099214,2.1114886e-7,0.0000039764736,4.298954e-7,0.0000065303566],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991102,0.000019990963,0.00024953193,0.00007732482,0.00022588437,0.00031703355],"domain_scores_gemma":[0.9992811,0.000036157213,0.00017776113,0.000015243892,0.00013698079,0.0003527637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009856529,0.000058762176,0.000106607375,0.00012200331,0.00018371819,0.000038696762,0.00020781248,0.000041122155,0.000039905568],"category_scores_gemma":[0.00008643852,0.000028065533,0.000026779975,0.00072857743,0.000095735675,0.00026831732,0.000008074127,0.000108409695,9.792022e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000665505,0.000009994749,0.439261,0.0000023715088,0.0000014851217,0.000003197766,0.00013254692,0.00026051007,0.5596607,0.000032871718,0.000023002503,0.0006056836],"study_design_scores_gemma":[0.00023459464,0.0007283618,0.92473257,0.00025932785,0.000020163665,0.00049948745,0.000642476,0.014037992,0.057156805,0.000042140393,0.0014752459,0.00017081886],"about_ca_topic_score_codex":0.0064447178,"about_ca_topic_score_gemma":0.012356173,"teacher_disagreement_score":0.5025039,"about_ca_system_score_codex":0.000088481414,"about_ca_system_score_gemma":0.00020840942,"threshold_uncertainty_score":0.9742528},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99949706,0.000017702045,0.000022890805,0.00028505034,0.0000444244,0.000045698158,0.000010752111,0.000003978603,0.00007243492],"genre_scores_gemma":[0.9998566,0.000034417193,0.000031091167,0.00003520722,0.000025037622,1.5021621e-7,0.0000032944267,5.3611565e-8,0.000014129818],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996604,0.000010796114,0.00005693907,0.00009154411,0.000121086516,0.000059260725],"domain_scores_gemma":[0.9998174,0.000027231397,0.00005576308,0.00001357684,0.0000671515,0.0000189103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016411401,0.000026524962,0.000041584386,0.000006416183,0.00078921835,0.000013871538,0.00010301803,0.000015729207,0.000020081745],"category_scores_gemma":[0.00002565086,0.000009407762,0.000009553888,0.00037999664,0.000085511856,0.000074522475,0.000078141034,0.00001998311,1.5601921e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004867017,0.000006513199,0.09051526,3.0575208e-7,4.19414e-7,2.2344869e-8,0.0002723789,0.0000013244044,0.9037766,0.000038066086,0.000005025358,0.005379224],"study_design_scores_gemma":[0.000018660348,0.00008338991,0.88773996,0.0000045817987,0.0000024337903,6.008299e-7,0.000030743995,0.0005496925,0.11130802,0.00017386876,0.000067669236,0.000020353787],"about_ca_topic_score_codex":0.00045205868,"about_ca_topic_score_gemma":0.0000845293,"teacher_disagreement_score":0.7972247,"about_ca_system_score_codex":0.000004880876,"about_ca_system_score_gemma":0.000004869932,"threshold_uncertainty_score":0.6070109},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952345,0.0022831657,0.00006221629,0.0004929615,0.00042464436,0.00017498531,0.00015962188,0.00007573937,0.0010921558],"genre_scores_gemma":[0.99460655,0.00069301756,0.0013546571,0.00025984464,0.0008990002,0.000006987354,0.000044977245,0.0000071128975,0.0021278488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777615,0.00017900646,0.00033651025,0.00044331365,0.00021833382,0.001046684],"domain_scores_gemma":[0.99905145,0.00018000006,0.00015796277,0.00012144644,0.00006918906,0.00041992773],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004374822,0.0003341886,0.0003113854,0.00003777128,0.00040986118,0.00020303777,0.0006448583,0.00034783097,0.0011421333],"category_scores_gemma":[0.00014808374,0.00016737134,0.00020270623,0.00028860595,0.00011442655,0.00010395079,0.00014533386,0.00028270233,0.00016574822],"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":[0.0001395762,0.00029504907,0.6819936,0.000074495416,0.000108462336,0.0004209287,0.0030395577,0.000011886457,0.27896848,0.00044880668,0.012195535,0.022303583],"study_design_scores_gemma":[0.00024905772,0.00035338142,0.88658667,0.00016663423,0.00014075048,0.00032417834,0.0016368956,0.000834797,0.10414722,0.0012013308,0.0037844833,0.000574608],"about_ca_topic_score_codex":0.0068129324,"about_ca_topic_score_gemma":0.0033348843,"teacher_disagreement_score":0.20459305,"about_ca_system_score_codex":0.000041082007,"about_ca_system_score_gemma":0.00008535093,"threshold_uncertainty_score":0.9998008},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983582,0.000019456269,0.0002058811,0.00052863546,0.00008770976,0.0001572808,0.000015024263,0.0000056515514,0.0006221429],"genre_scores_gemma":[0.9990158,0.000004454564,0.00049711537,0.000042197003,0.00036956609,0.0000090756,0.000019429588,4.7298326e-7,0.000041878186],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994552,0.00005438801,0.00013440997,0.00007763694,0.00017009917,0.000108259796],"domain_scores_gemma":[0.99934083,0.00018770361,0.00008112282,0.000011738402,0.00031291688,0.00006570993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009874086,0.000048563972,0.00007395306,0.000015823232,0.00019541825,0.000039015835,0.00006810634,0.000031274,0.0004454561],"category_scores_gemma":[0.00019872907,0.00002037166,0.000041489962,0.00011902808,0.0000053588014,0.00004883034,0.000007830061,0.000047470494,0.0000086993805],"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":[0.000004590615,0.0000436026,0.020826224,0.0000013458432,0.0000153698,1.9946143e-8,0.000061844396,0.00012396295,0.8048194,0.000031755444,0.0022281718,0.17184372],"study_design_scores_gemma":[0.0005346409,0.0016990708,0.7895147,0.00007399102,0.00020407677,0.00010020881,0.00032027345,0.004328005,0.16125005,0.0037352338,0.03797338,0.00026633302],"about_ca_topic_score_codex":0.000016842776,"about_ca_topic_score_gemma":0.000271353,"teacher_disagreement_score":0.7686885,"about_ca_system_score_codex":0.00003072553,"about_ca_system_score_gemma":0.000016087492,"threshold_uncertainty_score":0.4877432},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99637043,0.00020081569,0.000007914595,0.00026912946,0.000060128405,0.000024498075,0.00009560303,0.00000987889,0.0029615783],"genre_scores_gemma":[0.99953705,0.000093305396,0.00013911059,0.00004387102,0.00003506078,3.066247e-7,0.000017783987,1.0896279e-7,0.00013339087],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992528,0.000007539958,0.00010020614,0.00024296653,0.00024155437,0.00015495872],"domain_scores_gemma":[0.9996731,0.00005345128,0.000046204983,0.00011835012,0.00004691898,0.000061972634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003223469,0.000041310363,0.00009005087,0.000031894273,0.00015329897,0.00005590773,0.00093681266,0.000015784673,0.0006573154],"category_scores_gemma":[0.000071332084,0.000014320734,0.000027407508,0.0021655445,0.00019649726,0.00010457172,0.00021809278,0.000025559219,0.000019123983],"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":[0.0000011189218,0.0000418623,0.03848453,0.0000011492722,0.000019335792,0.0000011909135,0.00008310027,0.00011317347,0.87064546,0.00022200629,0.0007046846,0.08968239],"study_design_scores_gemma":[0.000032826527,0.00007480121,0.8926191,0.0000049570876,0.00009585483,0.0000016014259,0.00007758158,0.08281593,0.0041266866,0.00005728564,0.01995142,0.0001419872],"about_ca_topic_score_codex":0.00012567987,"about_ca_topic_score_gemma":0.00024433137,"teacher_disagreement_score":0.8665188,"about_ca_system_score_codex":0.0000033498663,"about_ca_system_score_gemma":0.0000029649725,"threshold_uncertainty_score":0.7197143},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974812,0.00008060134,0.000004659364,0.00019946575,0.00017531299,0.00012967136,0.0000020744076,0.000028462793,0.0018985171],"genre_scores_gemma":[0.99954474,0.000104884304,0.000065260734,0.00007122114,0.000097700635,0.0000047974077,5.213936e-7,5.0347205e-7,0.000110380024],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990363,0.00006796767,0.00016900265,0.0003328559,0.00014962204,0.00024426074],"domain_scores_gemma":[0.999513,0.00031043406,0.000038510545,0.000037087455,0.000018453316,0.00008251736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024802,0.000095080155,0.00016167111,0.00003382909,0.0002060968,0.00018736481,0.00018204711,0.00003311216,0.00007759567],"category_scores_gemma":[0.00023378547,0.000037274316,0.000024462493,0.00040784926,0.00010322095,0.00014112856,0.00004843995,0.000096599346,0.000024006262],"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":[0.00002555109,0.000011270459,0.007439367,0.0000034906925,5.828179e-7,0.0000021374267,0.00012015691,0.000016149193,0.6846993,0.00003948397,0.0000063375915,0.30763617],"study_design_scores_gemma":[0.00020180806,0.0005097226,0.7594278,0.00046244028,0.0000045653564,0.000011775117,0.00010477357,0.0016730638,0.23588845,0.00018007761,0.0013029417,0.00023262635],"about_ca_topic_score_codex":0.0005091434,"about_ca_topic_score_gemma":0.00035803465,"teacher_disagreement_score":0.7519884,"about_ca_system_score_codex":0.000028048236,"about_ca_system_score_gemma":0.000005635628,"threshold_uncertainty_score":0.18067631},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715096,0.000031625714,0.000038655253,0.0019539706,0.00005412493,0.00027756818,0.000043292443,0.000013337452,0.00043644913],"genre_scores_gemma":[0.9993268,0.0000067854307,0.00020162624,0.00012297217,0.00007641844,0.000027231328,0.000024611418,8.1378266e-7,0.00021269241],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998951,0.000027449081,0.00014824193,0.0003119967,0.00025566661,0.00030564104],"domain_scores_gemma":[0.99959356,0.00019794179,0.000053652213,0.00007410716,0.000036449055,0.000044310505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003438505,0.00009121212,0.00007981142,0.000019143383,0.00063979137,0.00013413526,0.0004569261,0.000029135279,0.000029004974],"category_scores_gemma":[0.00007202881,0.00003183257,0.000028745178,0.0005863395,0.00017661022,0.00011832,0.00005761623,0.00006498876,0.0000025817367],"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":[0.000026042428,0.00006481474,0.17260127,0.0000035865974,0.0000033845765,0.000007956907,0.00085864385,0.0016943271,0.8196375,0.00064992806,0.00009036396,0.00436218],"study_design_scores_gemma":[0.00011141676,0.00007855202,0.9857375,0.000014043927,0.000007109417,0.000005860373,0.0011691937,0.0023828137,0.008368383,0.00021735845,0.0017724172,0.00013532037],"about_ca_topic_score_codex":0.005021288,"about_ca_topic_score_gemma":0.053228553,"teacher_disagreement_score":0.8131363,"about_ca_system_score_codex":0.000044473065,"about_ca_system_score_gemma":0.000020532061,"threshold_uncertainty_score":0.96404755},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99550617,0.00006585805,0.0000061772007,0.000614773,0.00003806781,0.0000943324,0.000015871976,0.000005506226,0.0036532537],"genre_scores_gemma":[0.9994578,0.00006918767,0.000058213664,0.000022834296,0.0001080553,7.055805e-7,0.000014364632,6.636759e-7,0.00026821526],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991095,0.00010742925,0.00019840142,0.00014357132,0.00018312811,0.00025797653],"domain_scores_gemma":[0.99928206,0.00047933444,0.000047151458,0.00004766961,0.00008308862,0.000060719743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011924031,0.000051231233,0.00009881102,0.00002346828,0.00013455833,0.000019178176,0.00013867741,0.000031894797,0.00013813407],"category_scores_gemma":[0.00007741332,0.000023674504,0.000026538059,0.0001725051,0.00007466095,0.000051273873,0.00007568272,0.00014816153,0.000004070489],"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":[0.000035460263,0.000020654918,0.1436512,0.000029938681,0.000006996083,7.0570053e-7,0.00013560083,0.000008766453,0.8406499,0.0010724288,0.00012600698,0.014262351],"study_design_scores_gemma":[0.000054776927,0.00011536297,0.8608481,0.000026197635,0.0000014063178,8.6958903e-7,0.00024484162,0.000014167335,0.13788684,0.00012429625,0.00063529884,0.000047795893],"about_ca_topic_score_codex":0.0012275075,"about_ca_topic_score_gemma":0.0005943551,"teacher_disagreement_score":0.71719694,"about_ca_system_score_codex":0.000009704859,"about_ca_system_score_gemma":0.000009214155,"threshold_uncertainty_score":0.18556322},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913675,0.0000870736,0.0000023614398,0.00013101308,0.000058636288,0.000058027785,0.000015776057,0.000004717502,0.0005056764],"genre_scores_gemma":[0.9995675,0.000025243986,0.00011312637,0.000022941791,0.00003975782,8.59651e-7,0.000001501201,2.128642e-7,0.00022885439],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99936634,0.00001152724,0.00015435045,0.0001364297,0.00019158512,0.00013978344],"domain_scores_gemma":[0.9996141,0.00013192931,0.00008837142,0.00004442558,0.00009739905,0.00002377063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035942355,0.000052733816,0.00009267321,0.0000083686555,0.00019201639,0.00009824854,0.00023299626,0.000016982078,0.000008222798],"category_scores_gemma":[0.000043018335,0.000015829468,0.000024156308,0.0002779921,0.00117629,0.00011970166,0.000080972124,0.000028355027,4.676768e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021536012,0.000014056782,0.046111986,0.000005989251,5.498394e-7,1.7150259e-7,0.000023412264,0.00025206176,0.948821,0.0004331753,0.000013419659,0.0043026144],"study_design_scores_gemma":[0.00013293092,0.00012568716,0.74280286,0.00002345733,0.000004557235,0.000009285946,0.000023383212,0.010955047,0.24519552,0.00014625356,0.0005021726,0.00007882296],"about_ca_topic_score_codex":0.00039613165,"about_ca_topic_score_gemma":0.000055052267,"teacher_disagreement_score":0.7036255,"about_ca_system_score_codex":0.000003020495,"about_ca_system_score_gemma":0.0000060114626,"threshold_uncertainty_score":0.43340895},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998368,0.000064043685,0.0000016095119,0.0004765761,0.0004130265,0.0000307637,0.00006531198,4.3768415e-7,0.0005802265],"genre_scores_gemma":[0.9996518,0.00004421952,0.0000242304,0.000112820846,0.00008140482,1.6149508e-7,0.0000031632017,2.9141606e-7,0.000081931394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992482,0.000013983623,0.00021301169,0.000091148846,0.00020882186,0.00022482878],"domain_scores_gemma":[0.9994911,0.000037662012,0.000116571304,0.000024565536,0.000051447183,0.00027866577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003000945,0.0000559343,0.000098922486,0.00005045515,0.000069491616,0.000030940093,0.00028516303,0.000020682683,0.00023520851],"category_scores_gemma":[0.00002694566,0.000024826864,0.000020306517,0.00016650153,0.00006373342,0.00010931715,0.000011321769,0.00009354013,0.0000047252815],"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":[0.000032279426,0.000014766975,0.662975,0.000004032825,0.0000051120696,0.0003378205,0.00025925605,0.00069578196,0.32353675,0.000014882307,0.0015068668,0.010617421],"study_design_scores_gemma":[0.000095242176,0.00020204512,0.8695895,0.0001097017,0.0000043026375,0.0005288031,0.0003325358,0.00023239032,0.0031548468,0.00002114792,0.12560442,0.00012503126],"about_ca_topic_score_codex":0.5180467,"about_ca_topic_score_gemma":0.98533255,"teacher_disagreement_score":0.4672859,"about_ca_system_score_codex":0.00015896057,"about_ca_system_score_gemma":0.000290235,"threshold_uncertainty_score":0.4851627},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99843997,0.00088350725,0.0000048189713,0.00031134533,0.00003650633,0.0001776601,0.00009857181,2.8470228e-7,0.000047319387],"genre_scores_gemma":[0.99945533,0.00029808574,0.00009428119,0.000011232508,0.00002677264,0.00000736282,0.000005719842,7.0382447e-7,0.00010053566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942535,0.000028994114,0.00018941202,0.00008064267,0.000079145575,0.00019646483],"domain_scores_gemma":[0.9995452,0.00008145265,0.000059827533,0.000018716319,0.0000994078,0.00019540699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040725392,0.000028466791,0.00007600241,0.000026174555,0.0001002702,0.000095782874,0.00010294119,0.000033463748,0.00012754615],"category_scores_gemma":[0.00007776911,0.000021149664,0.00002254287,0.00008538296,0.000031919222,0.000032097174,0.000008117187,0.00009927126,5.737338e-7],"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":[0.0000061755995,0.000014511219,0.5811619,0.000013393817,0.000008754924,0.0000049175,0.00004482083,0.000010306995,0.3438819,0.000037061607,0.0017327493,0.07308346],"study_design_scores_gemma":[0.00012519633,0.00061577,0.9766581,0.000040476523,0.000002752554,0.000050704235,0.00018903108,0.000016216394,0.001365948,0.00065173063,0.020237666,0.000046423524],"about_ca_topic_score_codex":0.03993497,"about_ca_topic_score_gemma":0.7892308,"teacher_disagreement_score":0.7492959,"about_ca_system_score_codex":0.00006556809,"about_ca_system_score_gemma":0.000059714737,"threshold_uncertainty_score":0.9664582},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98467886,0.000121149285,0.00009953262,0.007642031,0.0005524576,0.0006447094,0.000056736775,0.00022638656,0.0059781033],"genre_scores_gemma":[0.9965988,0.000045642624,0.00037319007,0.0013237174,0.0008223679,0.000009564811,0.00004908939,0.000004130164,0.00077353994],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982871,0.000050244867,0.00035198452,0.00047735794,0.00031651466,0.0005168397],"domain_scores_gemma":[0.9990977,0.0004031199,0.000094494106,0.00011512399,0.000096922246,0.00019261203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041162054,0.00024089888,0.00032819333,0.000023846624,0.00033886192,0.00023844356,0.00041268047,0.00017469605,0.00015382635],"category_scores_gemma":[0.00016942824,0.000108295186,0.00011062252,0.00030384306,0.000025971163,0.00006963656,0.00005707536,0.00023871138,0.000046086414],"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":[0.0001382605,0.00013690222,0.002487173,0.00003923626,0.000050132778,0.000028667615,0.000055580025,0.00006363927,0.97212094,0.0071887397,0.0061985063,0.011492215],"study_design_scores_gemma":[0.0041046524,0.008786395,0.5639739,0.0010025217,0.00042548278,0.00012329947,0.0011578272,0.008985507,0.033694725,0.0034505755,0.37073302,0.0035620981],"about_ca_topic_score_codex":0.000072275136,"about_ca_topic_score_gemma":0.00011907501,"teacher_disagreement_score":0.9384262,"about_ca_system_score_codex":0.00003655825,"about_ca_system_score_gemma":0.0000076041215,"threshold_uncertainty_score":0.44161496},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850804,0.0001830692,0.00013455971,0.00016640431,0.00005750843,0.000044335367,0.00016146366,0.000009225806,0.00073541235],"genre_scores_gemma":[0.9992576,0.00008126991,0.00036821436,0.00007444135,0.000033859047,2.876305e-7,0.00007328041,2.6918943e-7,0.000110781235],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99883926,0.000007850869,0.00016397564,0.00034763728,0.0003754018,0.0002658981],"domain_scores_gemma":[0.99956596,0.000068000256,0.00007662696,0.00015512464,0.000026922238,0.000107339554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010587149,0.000065941065,0.00011785586,0.00003669554,0.00019037312,0.000046988378,0.0009704579,0.000027877713,0.00026836988],"category_scores_gemma":[0.000033321445,0.000025528383,0.000032664924,0.001291364,0.0002821907,0.00009345427,0.0002983381,0.00004014164,0.000021365508],"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":[0.000004815277,0.000028195493,0.028791262,8.348769e-7,0.000012546608,0.0000010062176,0.000027088408,0.000042730906,0.9375216,0.000051806997,0.00028914766,0.033229016],"study_design_scores_gemma":[0.00003143822,0.000094404284,0.91480464,0.0000032099754,0.00007778354,0.0000011423829,0.000077777215,0.0020943715,0.037744846,0.000026563977,0.044909947,0.00013386118],"about_ca_topic_score_codex":0.00033870953,"about_ca_topic_score_gemma":0.0002700667,"teacher_disagreement_score":0.8997767,"about_ca_system_score_codex":0.000013619796,"about_ca_system_score_gemma":0.0000072446437,"threshold_uncertainty_score":0.2938462},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99903363,0.000028297169,0.000020911482,0.0005198232,0.00007812266,0.000098305834,0.000024285686,0.000007284602,0.00018932161],"genre_scores_gemma":[0.9991441,0.00001420419,0.0006724513,0.000107863336,0.000035051355,0.000006872038,0.0000022161692,1.848302e-7,0.000017050786],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993206,0.0000052611513,0.00011739618,0.00020664377,0.00012944678,0.00022060647],"domain_scores_gemma":[0.999774,0.00007021538,0.000038061524,0.000030754545,0.00003861756,0.000048372465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030834286,0.00005419999,0.00009305725,0.0000139947,0.0001105469,0.00002890743,0.0003000595,0.00003367303,0.00003284781],"category_scores_gemma":[0.00013541315,0.000019552219,0.000041992203,0.0004353358,0.00020064635,0.00005240284,0.0000521983,0.00003506956,0.0000028362035],"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":[0.0000050434987,0.000026411562,0.0029444888,0.000002243628,3.0102942e-7,3.1375214e-7,0.000032178457,0.00007290729,0.991199,0.00039858164,0.000027722279,0.005290768],"study_design_scores_gemma":[0.00013253857,0.0004057946,0.70795864,0.00004034394,0.000001801488,0.000002143186,0.00012253443,0.00013849243,0.28641978,0.004261841,0.00039195546,0.00012411742],"about_ca_topic_score_codex":0.00019628064,"about_ca_topic_score_gemma":0.00019382164,"teacher_disagreement_score":0.70501417,"about_ca_system_score_codex":0.0000126387795,"about_ca_system_score_gemma":0.000010441265,"threshold_uncertainty_score":0.085024856},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981787,0.000013645064,0.00018934727,0.00016100242,0.00014368333,0.00009383197,0.0000021676476,0.0000029436808,0.0012146707],"genre_scores_gemma":[0.99948287,0.0000095931855,0.00019248966,0.00004231193,0.000020138837,0.0000041428434,0.0000036825402,1.8863633e-7,0.00024459165],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995231,0.000004182256,0.00010990532,0.00014649889,0.00009737448,0.00011892189],"domain_scores_gemma":[0.99983776,0.000052430747,0.00003897777,0.000023933628,0.000020340347,0.000026562746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019367391,0.00004048466,0.000053153333,0.000016725091,0.000055509823,0.000027587423,0.00013687545,0.000019579855,0.00025569863],"category_scores_gemma":[0.000022522578,0.000017359285,0.000021330507,0.00010227909,0.00005809847,0.00010408789,0.000030316949,0.000040460105,0.0000066307853],"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":[0.000040487386,0.000021820522,0.042596504,0.0000012004904,6.261447e-7,3.847279e-7,0.00043001593,0.00023418342,0.91146094,0.000025071497,0.000023060604,0.045165703],"study_design_scores_gemma":[0.00009984606,0.0004744375,0.9264343,0.000067518056,0.000004333395,0.000009468962,0.00042549756,0.0056942897,0.051569965,0.00042798062,0.014653589,0.00013877977],"about_ca_topic_score_codex":0.0045338133,"about_ca_topic_score_gemma":0.068393916,"teacher_disagreement_score":0.8838378,"about_ca_system_score_codex":0.000055884953,"about_ca_system_score_gemma":0.000009139756,"threshold_uncertainty_score":0.9486055},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99694926,0.000412911,0.0000010956753,0.0016728066,0.000085266794,0.00009046413,0.000015649573,0.0000062612135,0.0007663099],"genre_scores_gemma":[0.99944216,0.000040797033,0.0000341542,0.00018136321,0.0001445417,0.0000012371066,0.000014080198,2.4673173e-7,0.0001414357],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99950314,0.00001603324,0.00013365559,0.000107892796,0.00009853446,0.0001407271],"domain_scores_gemma":[0.9998462,0.000013419019,0.000042718544,0.000040313706,0.000029677842,0.000027660793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009561503,0.000055526383,0.00007361291,0.000005879496,0.000052058895,0.000011656597,0.00016593769,0.000043326585,0.00005879574],"category_scores_gemma":[0.000009702297,0.000018658755,0.000027105341,0.0002854134,0.000012806077,0.000019507559,0.00002209764,0.00004879596,0.000008385063],"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":[0.0000036384843,0.000018573013,0.003757583,0.0000017072047,9.4776135e-7,7.6138394e-7,0.000058050093,0.000094644376,0.9906298,0.00005822142,0.000015319343,0.005360759],"study_design_scores_gemma":[0.000047424255,0.00008039522,0.9824011,0.000008266796,0.0000022147508,0.000005964105,0.000033122233,0.000028055747,0.01375043,0.00022252777,0.0033672145,0.000053295244],"about_ca_topic_score_codex":0.00009468418,"about_ca_topic_score_gemma":0.00036070452,"teacher_disagreement_score":0.9786435,"about_ca_system_score_codex":0.000010010317,"about_ca_system_score_gemma":0.0000066703687,"threshold_uncertainty_score":0.07608819},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99575573,0.000025184288,0.00087563106,0.00007272441,0.00008562501,0.00003119336,0.000025927759,0.000006742067,0.003121259],"genre_scores_gemma":[0.9988904,0.000010545454,0.0007310363,0.000045993107,0.00002519172,4.8042114e-7,0.0000061539195,1.8763114e-7,0.00029001475],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992151,0.0000039255888,0.00013865014,0.00019370078,0.0002456408,0.00020293384],"domain_scores_gemma":[0.99970967,0.00005519541,0.00006426054,0.000051375846,0.00004095255,0.0000785428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004565135,0.000051894633,0.00008472537,0.000043572054,0.00021412724,0.000044350098,0.00025812024,0.000018935018,0.0002782745],"category_scores_gemma":[0.000019381234,0.000020684714,0.00006212272,0.0009238669,0.00021945959,0.00007714033,0.00007772399,0.000041418545,0.000016876296],"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":[0.000004880678,0.00002462753,0.010072599,4.5067068e-7,0.000010789093,5.1532203e-7,0.00007428625,0.0030425892,0.9722192,0.0003679008,0.000032473155,0.014149669],"study_design_scores_gemma":[0.000026542042,0.00003626574,0.91663,0.000002745105,0.00005973928,0.0000013641923,0.00012112986,0.02929963,0.050575305,0.0001536863,0.0029934149,0.00010017358],"about_ca_topic_score_codex":0.00009016365,"about_ca_topic_score_gemma":0.00049204455,"teacher_disagreement_score":0.9216439,"about_ca_system_score_codex":0.000021719072,"about_ca_system_score_gemma":0.0000072055504,"threshold_uncertainty_score":0.30469105},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995793,0.00014881093,0.000016639864,0.0009799394,0.0003629201,0.00088850607,0.00007120431,0.00003473773,0.0017042408],"genre_scores_gemma":[0.9987865,0.00010935016,0.00020438615,0.00020112403,0.0002751535,0.00006617976,0.000021835223,6.537719e-7,0.00033482088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979742,0.00017011067,0.00048578595,0.00045614195,0.00057998206,0.00033373642],"domain_scores_gemma":[0.9980916,0.0011181069,0.0002933838,0.00009575141,0.0002909464,0.00011021651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013208029,0.00011880342,0.00032103594,0.000029353394,0.00063679065,0.00021589172,0.00044835603,0.0000611311,0.00047212734],"category_scores_gemma":[0.006200864,0.000041492316,0.00011061014,0.0006476396,0.00013668659,0.00008593471,0.000036163805,0.00006294261,0.000054092292],"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":[0.0000485536,0.000041843847,0.00017857859,0.0000027453243,0.0000032945695,1.2478749e-7,0.00004239753,0.000103997154,0.6127512,0.00025758453,0.0012434757,0.3853262],"study_design_scores_gemma":[0.002621524,0.003384893,0.13388386,0.00015115418,0.00015491866,0.000016566286,0.00018477747,0.2634147,0.52042747,0.0034190344,0.07135158,0.0009894918],"about_ca_topic_score_codex":0.00002195082,"about_ca_topic_score_gemma":0.000011043507,"teacher_disagreement_score":0.3843367,"about_ca_system_score_codex":0.000039389568,"about_ca_system_score_gemma":0.000018311852,"threshold_uncertainty_score":0.74234617},"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":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7535876,0.00045277068,0.006033336,0.23544623,0.00026364595,0.0015944099,0.0003441871,0.000109001856,0.0021688072],"genre_scores_gemma":[0.9972959,0.00003383403,0.001279004,0.00039210301,0.00027483408,0.00006528959,0.000043714055,7.663118e-7,0.0006145207],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939793,0.000041775635,0.00016061,0.00020213878,0.000053958807,0.0001436106],"domain_scores_gemma":[0.99872524,0.0010100763,0.00009264503,0.000060451526,0.000052812342,0.000058773676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042265814,0.00007069957,0.0001631751,0.000010601817,0.00015484782,0.00010777638,0.00009119557,0.00005519361,0.000011593404],"category_scores_gemma":[0.001155303,0.000029761539,0.000041867974,0.0001439361,0.000027609807,0.000035505822,0.000020604622,0.000044713495,0.00000245953],"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":[0.0001736726,0.0009887838,0.21650667,0.00017511462,0.0000880409,0.0000051497814,0.0010879473,0.000102980586,0.37463108,0.107759975,0.15958485,0.13889574],"study_design_scores_gemma":[0.0004801593,0.000278733,0.47012037,0.00005338192,0.000029994166,0.000011181451,0.0006886279,0.0057510883,0.0017387248,0.014470508,0.5060889,0.00028829236],"about_ca_topic_score_codex":0.00007353573,"about_ca_topic_score_gemma":0.00017036675,"teacher_disagreement_score":0.37289235,"about_ca_system_score_codex":0.000006270616,"about_ca_system_score_gemma":0.000003997783,"threshold_uncertainty_score":0.13830891},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935323,0.000059970782,0.00017708639,0.0000799869,0.00006867187,0.00008285986,0.000018073255,0.00000990967,0.0001501833],"genre_scores_gemma":[0.9974059,0.0000053857493,0.002434533,0.000030281208,0.00006289129,0.000004117632,0.000015376425,3.6795072e-7,0.000041145257],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993706,0.000006257469,0.00011545973,0.00017356322,0.0001610751,0.00017307657],"domain_scores_gemma":[0.9998252,0.00002936373,0.00006386823,0.00002053037,0.00002268895,0.00003838796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019841388,0.00005395536,0.00006056097,0.000013189241,0.00022991438,0.00006669989,0.00013917302,0.000027057135,0.000041326402],"category_scores_gemma":[0.00001626369,0.000023764504,0.000026571517,0.00017848729,0.000062411076,0.00016182373,0.000021892254,0.000022496846,0.000004745689],"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":[0.0000065140307,0.000017072307,0.010834995,0.0000017992016,0.000001083314,7.285662e-8,0.00004951197,0.0047360626,0.97197145,0.0007744889,0.000016198885,0.011590755],"study_design_scores_gemma":[0.00018728129,0.00061840744,0.58096737,0.000023926692,0.000011912148,0.000017123322,0.00020908364,0.030311575,0.36994237,0.002086887,0.015294274,0.00032977352],"about_ca_topic_score_codex":0.00009513655,"about_ca_topic_score_gemma":0.00014312487,"teacher_disagreement_score":0.6020291,"about_ca_system_score_codex":0.000018321427,"about_ca_system_score_gemma":0.0000096871345,"threshold_uncertainty_score":0.17683388},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99889904,0.000119960576,0.0000052151972,0.00007044726,0.000034590714,0.00017583926,0.00006650862,0.000006639638,0.00062178436],"genre_scores_gemma":[0.9994408,0.00003391546,0.00029845003,0.000049058082,0.000055832494,0.000017661207,0.000039939765,2.6135723e-7,0.000064077925],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996936,0.000006458968,0.00006370211,0.00009765642,0.000027631755,0.00011094854],"domain_scores_gemma":[0.9999193,0.000014777175,0.000016768096,0.000011274671,0.0000105215895,0.000027367752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006479316,0.000037937614,0.000049292266,0.0000020016548,0.00004017087,0.000014188838,0.000039405866,0.000023078537,0.00008389361],"category_scores_gemma":[0.0000035816663,0.000015428026,0.000012600774,0.00003405286,0.000009664302,0.000020721944,0.000011809728,0.000017674665,0.0000030475903],"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":[0.000011333925,0.000009584429,0.026519008,0.0000040527125,0.0000014869008,5.34729e-7,0.00018802135,2.9341024e-7,0.96666914,0.00007077356,0.000013269153,0.006512488],"study_design_scores_gemma":[0.00010189301,0.0001843959,0.98399055,0.000004033492,0.0000026619596,0.0000028200948,0.000090798814,0.00006191051,0.012372886,0.0004514386,0.00265578,0.00008081743],"about_ca_topic_score_codex":0.00013574662,"about_ca_topic_score_gemma":0.00013593868,"teacher_disagreement_score":0.95747155,"about_ca_system_score_codex":0.0000040793957,"about_ca_system_score_gemma":0.0000011954547,"threshold_uncertainty_score":0.09185762},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977884,0.000042966018,0.0000076287465,0.00043566586,0.000107209555,0.0000538917,0.000010772269,0.000007723536,0.0015457316],"genre_scores_gemma":[0.9987772,0.0000065340128,0.0006375265,0.00016182613,0.0002211696,0.0000015082643,0.0000017668639,5.210134e-7,0.0001919405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993452,0.00009454983,0.00016495911,0.000103705184,0.00008593952,0.00020565702],"domain_scores_gemma":[0.99968195,0.00007344769,0.000050062015,0.000023722749,0.00002535243,0.00014547214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006776492,0.00007100383,0.00008165951,0.000019258161,0.00011596991,0.000051719868,0.00019154312,0.000042126823,0.0006653569],"category_scores_gemma":[0.000025480678,0.000027332866,0.000044996785,0.000095594834,0.000010685779,0.000044340984,0.000040168212,0.00014923487,0.00016072228],"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":[0.00035989893,0.00005901698,0.8868368,6.385969e-7,0.000007918561,0.000050219278,0.002222121,0.0000031256127,0.034421433,0.000018658071,0.00039913747,0.075621024],"study_design_scores_gemma":[0.000089753594,0.0001690685,0.98842204,0.000016241911,0.0000027599867,0.00002642306,0.0034195783,0.0000034243822,0.00047340454,0.000566865,0.006707578,0.0001028458],"about_ca_topic_score_codex":0.0009910947,"about_ca_topic_score_gemma":0.0042367065,"teacher_disagreement_score":0.10158525,"about_ca_system_score_codex":0.000019099713,"about_ca_system_score_gemma":0.000007874044,"threshold_uncertainty_score":0.7285192},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979854,0.00024613127,0.0000017826014,0.0014337441,0.000056243876,0.00017842834,0.000044304692,0.000005353069,0.000048587634],"genre_scores_gemma":[0.9976157,0.00006213941,0.0021122757,0.00009538351,0.00009726938,0.0000062920785,0.0000065597974,5.270804e-7,0.0000038764997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841505,0.00018214986,0.00053411594,0.00022147439,0.0003672542,0.00027996956],"domain_scores_gemma":[0.99904335,0.0002646512,0.00037372202,0.000023659795,0.000060196162,0.00023443995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019492873,0.0001190277,0.00036499693,0.00008119101,0.000048243415,0.00011218096,0.00026795996,0.000035297697,0.000010225093],"category_scores_gemma":[0.00037858996,0.00004906747,0.00003698052,0.00080624636,0.00027235667,0.00014382176,0.000053438816,0.00017332128,4.3412834e-7],"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":[0.00027796568,0.00022150678,0.8205421,0.000002983088,0.0000057732186,0.00008259767,0.0008927743,0.000036225905,0.09841682,0.00005135295,0.000017891467,0.07945202],"study_design_scores_gemma":[0.0006602964,0.0018885476,0.9848582,0.00025508637,0.0000045045463,0.00007103701,0.009306223,0.00103668,0.00059891085,0.0008049308,0.0003292093,0.00018635852],"about_ca_topic_score_codex":0.03069478,"about_ca_topic_score_gemma":0.015463731,"teacher_disagreement_score":0.16431613,"about_ca_system_score_codex":0.000030557145,"about_ca_system_score_gemma":0.000066371926,"threshold_uncertainty_score":0.9757599},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998182,0.0009933435,0.000021594542,0.00012974998,0.0003316561,0.00005989809,0.00008866454,0.000008293652,0.000184784],"genre_scores_gemma":[0.99715436,0.000063987995,0.002198031,0.00010661959,0.00046289148,2.8628264e-7,0.0000029976404,0.0000011515817,0.0000097075],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987861,0.000027042981,0.00022057668,0.0001373556,0.00022180496,0.0006071154],"domain_scores_gemma":[0.998851,0.00011389773,0.00017578437,0.000031934436,0.000096012314,0.00073137844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012943681,0.000107509,0.00015121119,0.000107782434,0.00074305944,0.00022035452,0.00032389548,0.000052177154,0.00004604908],"category_scores_gemma":[0.00012003329,0.00005042014,0.000027644051,0.0004957881,0.00013832423,0.0004740596,0.000029449215,0.0001726536,0.0000012411666],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004225655,0.000006304538,0.09328429,0.000005183601,0.000005942544,0.000025624302,0.00036678716,0.000024287485,0.89276904,0.00026015716,0.0002098096,0.013038351],"study_design_scores_gemma":[0.00033915025,0.0009849664,0.53190655,0.00082875893,0.00013903307,0.008546517,0.0034995275,0.0021108724,0.37158945,0.00093729363,0.07748988,0.0016279849],"about_ca_topic_score_codex":0.013865633,"about_ca_topic_score_gemma":0.008997348,"teacher_disagreement_score":0.52117956,"about_ca_system_score_codex":0.000076057804,"about_ca_system_score_gemma":0.0001890535,"threshold_uncertainty_score":0.9927011},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880356,0.000037708618,9.95967e-7,0.00059525995,0.000081231294,0.00023405111,0.000008135123,0.000017364799,0.00022169293],"genre_scores_gemma":[0.9993352,0.000014289857,0.00038829807,0.0001196914,0.00008591649,0.000013300393,0.000008026996,0.0000010184203,0.000034230412],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991743,0.000043352724,0.0002608647,0.00016311482,0.00018926071,0.00016910037],"domain_scores_gemma":[0.9994616,0.0002899588,0.00008322762,0.000044265336,0.000044280252,0.00007668444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020793779,0.00009212734,0.00017115711,0.00004159408,0.00005580415,0.000011222485,0.00014140253,0.000060999802,0.000026354792],"category_scores_gemma":[0.00010152114,0.000045536653,0.00004214528,0.0003214506,0.00003596779,0.000036638594,0.000050315844,0.00006868935,0.0000032302526],"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":[0.00026693326,0.000052064872,0.36230704,0.000009244834,0.0000034457555,0.0000069795724,0.0005191628,0.000007746968,0.62768894,0.0000142528625,0.00009262864,0.009031562],"study_design_scores_gemma":[0.00011855814,0.0015519955,0.71150947,0.00018588027,0.000002350059,0.0000061692326,0.00007713655,0.00007886109,0.2863233,0.000017005712,0.00004725021,0.00008204709],"about_ca_topic_score_codex":0.00016954384,"about_ca_topic_score_gemma":0.000078183104,"teacher_disagreement_score":0.3492024,"about_ca_system_score_codex":0.000012226434,"about_ca_system_score_gemma":0.0000071118266,"threshold_uncertainty_score":0.18569309},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965112,0.000021116643,0.0000019248846,0.0011089438,0.00004898528,0.000053700474,0.000004088118,0.000022317143,0.0022277297],"genre_scores_gemma":[0.9988873,0.000016804488,0.00015019074,0.00012013769,0.00004383999,0.0000025916668,0.0000018046117,1.948422e-7,0.0007771244],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99925566,0.000036315603,0.00008685988,0.00021322121,0.0001676652,0.00024029297],"domain_scores_gemma":[0.9997906,0.00006990725,0.000016666894,0.000026648895,0.00002825031,0.00006793435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068017707,0.000049766197,0.000050003797,0.000020894435,0.00028141888,0.000088166664,0.00023192297,0.00002707716,0.00073487073],"category_scores_gemma":[0.000068792346,0.000019854822,0.000016429303,0.0010911742,0.00012439041,0.0001121087,0.000018570185,0.00005979553,0.000070584596],"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":[0.000059609592,0.000016844646,0.011033927,3.289099e-7,2.0122816e-7,0.0000025202596,0.000072528914,0.00011954517,0.9742693,0.00010082752,0.00023945184,0.014084935],"study_design_scores_gemma":[0.000055892775,0.00015910188,0.9494784,0.000010722035,7.8041836e-7,0.00001969503,0.000053073858,0.0014438122,0.020202767,0.0008876255,0.027568486,0.00011966871],"about_ca_topic_score_codex":0.00018580242,"about_ca_topic_score_gemma":0.00021785141,"teacher_disagreement_score":0.9540665,"about_ca_system_score_codex":0.000021953845,"about_ca_system_score_gemma":0.000019812742,"threshold_uncertainty_score":0.8046319},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981135,0.0010708326,0.00011848068,0.000027346008,0.000047480557,0.00018676884,0.00007941918,0.000014489573,0.0003416837],"genre_scores_gemma":[0.9990008,0.00012491221,0.00036650186,0.000009121925,0.00006999001,0.000010286659,0.000009403256,0.0000014099419,0.0004076005],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990581,0.00004812071,0.00027230027,0.00026594682,0.00016513719,0.00019034895],"domain_scores_gemma":[0.9996671,0.000029834282,0.0001228559,0.00006785207,0.000020170726,0.00009220765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014420447,0.00010924533,0.00011996452,0.000019802434,0.00016926302,0.000042261683,0.00013735075,0.000087029635,0.00008702112],"category_scores_gemma":[0.00000506354,0.00005582831,0.00003391004,0.000117914715,0.000046820795,0.000033129134,0.000045054316,0.00004577671,0.000010420751],"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":[0.00006913081,0.00003274599,0.011409892,0.000015502641,0.000009221189,0.0000011071189,0.000424929,0.00008459806,0.94611216,0.000073306495,0.000060458533,0.041706964],"study_design_scores_gemma":[0.00009581497,0.00021608415,0.9884301,0.000026555123,0.000018344614,0.0000045428387,0.00043233656,0.00025070782,0.007449535,0.00030666898,0.0026339714,0.00013537025],"about_ca_topic_score_codex":0.00022500634,"about_ca_topic_score_gemma":0.00031946236,"teacher_disagreement_score":0.9770202,"about_ca_system_score_codex":0.000017830327,"about_ca_system_score_gemma":0.0000032024177,"threshold_uncertainty_score":0.22766124},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99923784,0.00002333056,0.00007682822,0.00024219647,0.00007468186,0.00008939609,0.000106171356,0.000018749904,0.0001308058],"genre_scores_gemma":[0.99890584,0.0000038812555,0.00068557943,0.00008733683,0.00011390531,0.0000054254065,0.00018634344,7.3269337e-7,0.000010931302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990239,0.00009325264,0.0002162883,0.00029554573,0.00011380187,0.0002572123],"domain_scores_gemma":[0.99958456,0.00020834514,0.00004927212,0.000035823236,0.000024744366,0.00009726178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040464668,0.00012358044,0.00035232573,0.000045296263,0.00006421714,0.000042902866,0.00012026272,0.000085050204,0.000054060292],"category_scores_gemma":[0.000060295093,0.000056576755,0.000034248984,0.00021398657,0.000024580788,0.000030977473,0.00008817748,0.000085151165,0.000016093145],"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":[0.0000136923145,0.000021821501,0.7100982,0.0000029104792,0.000015756816,0.000005799853,0.00007741993,0.0000055796877,0.2845112,7.60182e-7,0.00007453582,0.0051723365],"study_design_scores_gemma":[0.00010319897,0.00029277982,0.9900308,0.000010822791,0.00007496319,0.000013620373,0.00002716764,0.001875495,0.0069136047,0.000035480396,0.00048431812,0.00013775131],"about_ca_topic_score_codex":0.00015106483,"about_ca_topic_score_gemma":0.0026656645,"teacher_disagreement_score":0.27993262,"about_ca_system_score_codex":0.0000096817585,"about_ca_system_score_gemma":0.0000014031582,"threshold_uncertainty_score":0.23071331},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978637,0.0000139227295,0.0000029288267,0.00004589991,0.00021442106,0.00009985054,0.0000026971281,0.000009287265,0.0017472897],"genre_scores_gemma":[0.9998766,0.0000024878748,0.00008602869,0.000007972118,0.000015022563,0.0000027211522,0.0000014528883,2.0684317e-7,0.0000074852514],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99924034,0.000062943465,0.00012941576,0.0001985803,0.00019262951,0.00017606627],"domain_scores_gemma":[0.99968886,0.00015359177,0.000050080318,0.000026096252,0.000037073773,0.0000442689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001320593,0.000057256682,0.000083996274,0.000026046204,0.00019644135,0.000036201072,0.00012645617,0.000025048586,0.000041509582],"category_scores_gemma":[0.00034137152,0.000023171804,0.000023216628,0.0008468986,0.00009122869,0.00006296302,0.000017274362,0.0000724856,0.00000351059],"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":[0.000010324349,0.000026593214,0.22282118,0.000004577369,2.6699678e-7,1.8126046e-7,0.00003539006,0.00024321585,0.7506457,0.0017397332,0.000008132429,0.024464687],"study_design_scores_gemma":[0.00011520534,0.0012224643,0.898685,0.000054234846,0.0000026238265,0.0000035412804,0.00004052299,0.0020441534,0.09698583,0.00056078925,0.00018289917,0.00010278329],"about_ca_topic_score_codex":0.00011842279,"about_ca_topic_score_gemma":0.00015597028,"teacher_disagreement_score":0.67586374,"about_ca_system_score_codex":0.00003229132,"about_ca_system_score_gemma":0.000009731865,"threshold_uncertainty_score":0.15108879},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978992,0.00013500462,0.00011800829,0.00048049475,0.00013216434,0.0001736076,0.00007341771,0.00006775388,0.000920368],"genre_scores_gemma":[0.9983999,0.000021691052,0.0011094783,0.00010125505,0.00026708157,0.000005661069,0.000023726441,0.0000026750622,0.00006850307],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983553,0.00016961005,0.00046576647,0.0003810201,0.00026422756,0.00036406002],"domain_scores_gemma":[0.99897975,0.0004974309,0.00017549172,0.00009185689,0.00008258728,0.00017285705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043766404,0.00019615596,0.00032252137,0.000016660257,0.00019227815,0.00004215244,0.0003769458,0.00020425672,0.00022161262],"category_scores_gemma":[0.00028675183,0.00008568861,0.00015244378,0.00026910467,0.00014389295,0.0001315543,0.00013102163,0.0002257023,0.000028334465],"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":[0.000037905033,0.000176334,0.06845192,0.000011609685,0.000023981638,0.000005934076,0.00005333036,0.00006814218,0.922714,0.00390606,0.000290751,0.004260049],"study_design_scores_gemma":[0.00028188425,0.00051511003,0.982431,0.00013634443,0.000050730538,0.000060009144,0.00013243128,0.0057073636,0.0038965875,0.0017861255,0.0046314043,0.0003710174],"about_ca_topic_score_codex":0.00014072687,"about_ca_topic_score_gemma":0.00008023947,"teacher_disagreement_score":0.9188174,"about_ca_system_score_codex":0.000021974745,"about_ca_system_score_gemma":0.000007861252,"threshold_uncertainty_score":0.34942803},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978412,0.00030077057,2.0563616e-7,0.00064490037,0.00005602767,0.000042845884,0.00001592324,0.000015150465,0.0010829719],"genre_scores_gemma":[0.9996854,0.000026426656,0.000035260393,0.0001668305,0.00005526117,9.67949e-7,0.000009702012,1.3860304e-7,0.000019995105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999591,0.000013435623,0.00007817643,0.00012682498,0.000062116145,0.00012846605],"domain_scores_gemma":[0.9998782,0.000035938658,0.000011841008,0.000017884893,0.000007699478,0.000048397233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008580533,0.0000521884,0.000065290944,0.0000047016315,0.00004081022,0.000030110572,0.000054673656,0.000042098945,0.00010023408],"category_scores_gemma":[0.000011903092,0.000019593059,0.000016045427,0.00008333538,0.000009723374,0.000031663283,0.000011193759,0.000051016872,0.00000668163],"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":[0.00001966151,0.000073125026,0.42926383,0.0000034280395,0.0000023736438,0.000008743668,0.00009009201,0.0000017730148,0.3561874,0.000054001335,0.00081029895,0.21348526],"study_design_scores_gemma":[0.00004470356,0.0001131485,0.9967146,0.0000073059423,0.0000011135323,0.0000014925603,0.000047969737,0.000034910892,0.0011270813,0.0007016446,0.0011496618,0.000056397843],"about_ca_topic_score_codex":0.000101268146,"about_ca_topic_score_gemma":0.0003490002,"teacher_disagreement_score":0.56745076,"about_ca_system_score_codex":0.0000041500994,"about_ca_system_score_gemma":9.767109e-7,"threshold_uncertainty_score":0.10974929},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953213,0.000055838347,0.000018476212,0.0039619575,0.00019085206,0.00011564547,0.0000180565,0.0000048731545,0.0003130236],"genre_scores_gemma":[0.9990845,0.00008874987,0.00053899316,0.00005774698,0.0002055629,0.0000021849796,0.0000031867273,4.1101154e-7,0.000018708197],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989463,0.00003639304,0.00034580423,0.00021930042,0.00021898422,0.00023319226],"domain_scores_gemma":[0.99915326,0.00012177849,0.00022604893,0.000034287914,0.00031684153,0.00014775759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007769313,0.00011297649,0.00019264745,0.000055169516,0.00025755205,0.00009277417,0.0003051412,0.000046129742,0.000047525027],"category_scores_gemma":[0.00021689208,0.00003743615,0.00005605123,0.00073211064,0.00025228507,0.00024325009,0.00006897913,0.00013771435,0.0000015689048],"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":[0.000004446573,0.00002856788,0.029709421,0.000003298211,0.0000035178598,8.706416e-8,0.0008118667,0.00010244315,0.9350156,0.00007151924,0.000231978,0.034017246],"study_design_scores_gemma":[0.0000602988,0.00032713864,0.9901898,0.00007115094,0.0000068747086,0.00008807938,0.0040148105,0.000019158353,0.0044066007,0.00015334054,0.00055213936,0.000110644956],"about_ca_topic_score_codex":0.000072534065,"about_ca_topic_score_gemma":0.00024905923,"teacher_disagreement_score":0.96048033,"about_ca_system_score_codex":0.000026076907,"about_ca_system_score_gemma":0.000018929684,"threshold_uncertainty_score":0.1980908},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850506,0.000017584494,0.000515156,0.00046687937,0.000033134766,0.000089760964,0.000022589384,0.000009229472,0.0003405893],"genre_scores_gemma":[0.9991877,0.000008164494,0.0005459899,0.00011562048,0.000039930463,0.0000025568684,0.00008467958,2.1088924e-7,0.000015128116],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99902195,0.000027410095,0.000077693265,0.0003526228,0.00039470018,0.00012561237],"domain_scores_gemma":[0.9995316,0.00018584589,0.0000447016,0.00012879254,0.00004584521,0.000063214924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001303168,0.000054024833,0.000060977265,0.000024698726,0.00024378717,0.00010510305,0.00031183785,0.000019515248,0.0000934051],"category_scores_gemma":[0.00037080428,0.000021850876,0.0000097642605,0.00063224265,0.0001210942,0.00008462531,0.00007293758,0.000029180763,0.000012067114],"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":[0.000004782185,0.00005699845,0.15000565,0.0000025546872,0.0000040245077,1.4227825e-7,0.000025493253,0.009914336,0.6223997,0.000043294738,0.000052214196,0.21749085],"study_design_scores_gemma":[0.000033565946,0.00004827496,0.5093562,0.0000029859395,0.000019375688,1.0916468e-7,0.0000075682474,0.48844665,0.001549781,0.000016407475,0.00047926395,0.000039774728],"about_ca_topic_score_codex":0.0000873296,"about_ca_topic_score_gemma":0.00009287953,"teacher_disagreement_score":0.6208499,"about_ca_system_score_codex":0.000017133216,"about_ca_system_score_gemma":0.000008835536,"threshold_uncertainty_score":0.18750384},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964191,0.00030769172,0.000020083522,0.00014582252,0.0001655646,0.001329164,0.0014714355,0.00003531659,0.00010585796],"genre_scores_gemma":[0.9976503,0.00002021242,0.0010804534,0.000027834618,0.00043623534,0.00008550408,0.00041035758,0.0000037180534,0.00028533328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839765,0.00005646266,0.00065869465,0.00035694015,0.00019935476,0.00033088465],"domain_scores_gemma":[0.9987492,0.000668189,0.00035484208,0.000042663818,0.00010247665,0.000082651575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007729821,0.00012876221,0.00046350705,0.00002493344,0.00022051758,0.00081943674,0.0002736538,0.00012809937,0.000056878183],"category_scores_gemma":[0.0005118446,0.00009655472,0.00007317398,0.00029097084,0.00003575382,0.00017793856,0.00017148421,0.00010049694,3.3957622e-7],"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":[0.000035043162,0.000052131,0.92907614,0.000015686595,0.000031282492,0.0000034154853,0.00011665111,0.000013152129,0.050607435,0.000007878174,0.0019440801,0.018097106],"study_design_scores_gemma":[0.0012073512,0.0006070992,0.9910288,0.0003776501,0.00006407071,0.000015044377,0.00022894738,0.0012764161,0.002051465,0.0020942786,0.00085550937,0.00019335755],"about_ca_topic_score_codex":0.14239265,"about_ca_topic_score_gemma":0.66087496,"teacher_disagreement_score":0.5184823,"about_ca_system_score_codex":0.000031064592,"about_ca_system_score_gemma":0.00003294683,"threshold_uncertainty_score":0.86331826},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770737,0.00004059521,0.000007905604,0.000073435265,0.00013826118,0.0000754335,0.000009565293,0.00000645005,0.001940966],"genre_scores_gemma":[0.9992881,0.000005396816,0.0006599869,0.00001848087,0.000013806323,0.0000013652957,0.0000012970976,2.1002397e-7,0.000011363575],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999195,0.000015888616,0.00016946513,0.00019727137,0.00021363908,0.0002087552],"domain_scores_gemma":[0.999726,0.00006656177,0.000048887236,0.00004449373,0.000051582814,0.000062479914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046182406,0.000053361764,0.00008081048,0.000019770787,0.0001499225,0.000036015634,0.00022921363,0.000025246633,0.00017133732],"category_scores_gemma":[0.00018169035,0.00002327474,0.000021608907,0.0006663524,0.00017120689,0.000066313914,0.00003957215,0.000048973223,0.000004255563],"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":[8.1388623e-7,0.000016767364,0.34267208,0.0000013176664,1.3862874e-7,3.5064906e-7,0.000028709492,0.00003496543,0.65575933,0.0003410986,0.0000034650213,0.0011409705],"study_design_scores_gemma":[0.00002886116,0.00003936631,0.9775618,0.000013670523,0.0000010193288,0.0000032521332,0.000101993995,0.0003112693,0.020954445,0.0007613105,0.00016184057,0.00006121218],"about_ca_topic_score_codex":0.00056004204,"about_ca_topic_score_gemma":0.0005894567,"teacher_disagreement_score":0.63488966,"about_ca_system_score_codex":0.000016404978,"about_ca_system_score_gemma":0.000011449342,"threshold_uncertainty_score":0.18760236},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988341,0.0004436668,0.000027443573,0.00026075076,0.00006794343,0.000056055032,0.000022506529,0.0000025996733,0.00028495374],"genre_scores_gemma":[0.9991377,0.00021935023,0.00038377295,0.000022707054,0.00014818668,9.844653e-7,0.00005209007,3.2423608e-7,0.00003488273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923456,0.000055484248,0.0002789684,0.00013824263,0.00014376249,0.00014899568],"domain_scores_gemma":[0.99965835,0.00008104573,0.0001368251,0.000056521403,0.000008964519,0.000058302725],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003908834,0.000060076483,0.0001532745,0.000037578946,0.0000933641,0.00004892975,0.00023982253,0.00003295124,0.0011386393],"category_scores_gemma":[0.000021621378,0.000025219526,0.000070042785,0.00028048697,0.000020107012,0.00009355549,0.000065994194,0.00009546237,0.0000061481933],"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":[0.0005955518,0.0009045453,0.55259055,0.000004036196,0.0007341002,0.000039563405,0.00068507873,0.015245631,0.043486692,0.00014487174,0.0015850954,0.3839843],"study_design_scores_gemma":[0.0039314344,0.00040302303,0.904542,0.000040598294,0.0003830622,0.000019048923,0.00038023802,0.06826123,0.00036583346,0.00013957778,0.021270787,0.00026315072],"about_ca_topic_score_codex":0.00009727734,"about_ca_topic_score_gemma":0.00018374428,"teacher_disagreement_score":0.38372114,"about_ca_system_score_codex":0.000015296924,"about_ca_system_score_gemma":0.0000017895932,"threshold_uncertainty_score":0.99977446},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987164,0.00005912289,0.00013867902,0.00014153292,0.000046430254,0.00017643161,0.000009057595,0.000003596787,0.0007087463],"genre_scores_gemma":[0.9992151,0.0000046795653,0.0007295934,0.000011237191,0.000018794082,0.000009430994,0.0000026339887,1.2686344e-7,0.000008361549],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99952495,0.000021840051,0.000082303675,0.0001511351,0.00013961524,0.0000801369],"domain_scores_gemma":[0.99935645,0.0002797543,0.000055745062,0.000048561527,0.00023717302,0.00002233122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014989716,0.000028245575,0.000037337282,0.0000048519983,0.00035254494,0.000056865494,0.00015836568,0.000010911207,0.000025438396],"category_scores_gemma":[0.0005637636,0.000009076858,0.000010535076,0.00022655491,0.00033807222,0.00012861719,0.000040376937,0.000017178332,3.7857183e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024269038,0.000025371892,0.15523857,0.0000045504544,8.046429e-7,3.1508176e-8,0.0005167557,0.000009353532,0.7421711,0.00040441073,0.0000053392887,0.101621255],"study_design_scores_gemma":[0.00002051703,0.00004221807,0.9578572,0.0000049321775,0.0000059765052,0.0000012389393,0.00054654526,0.0036313734,0.035939388,0.0018652759,0.000057827274,0.000027518547],"about_ca_topic_score_codex":0.00019043818,"about_ca_topic_score_gemma":0.00005677596,"teacher_disagreement_score":0.8026186,"about_ca_system_score_codex":0.0000058446244,"about_ca_system_score_gemma":0.000023515266,"threshold_uncertainty_score":0.27115265},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992129,0.00009926436,0.0000010331031,0.0002161386,0.00017252743,0.000049494865,0.00011084981,9.16099e-7,0.0001368504],"genre_scores_gemma":[0.9997657,0.000023836707,0.000116097675,0.000016257265,0.00006198013,1.6974329e-7,9.713251e-7,3.189289e-7,0.000014671185],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989778,0.00002614282,0.00027814604,0.000119744676,0.00035074295,0.00024744554],"domain_scores_gemma":[0.99909455,0.00010840476,0.0002494477,0.000033791144,0.00022950394,0.00028432504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009439456,0.00006415167,0.00017433632,0.000121730416,0.00014945185,0.000025370016,0.0003799094,0.000034392353,0.000015831181],"category_scores_gemma":[0.00047784706,0.000028517055,0.0000385123,0.0008659109,0.00030968056,0.0002885613,0.000017515333,0.00012626941,6.818924e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011570801,0.0000108219765,0.37999764,0.0000053636436,0.0000021219512,0.000078960955,0.00036516268,0.00008203067,0.6182683,0.00007578197,0.00005731739,0.0010449302],"study_design_scores_gemma":[0.000056898614,0.00023544936,0.9772072,0.00012489573,0.0000031982713,0.00091190764,0.00013267697,0.000055087363,0.020524971,0.00008061096,0.0005880477,0.00007904817],"about_ca_topic_score_codex":0.026236376,"about_ca_topic_score_gemma":0.048301343,"teacher_disagreement_score":0.59774333,"about_ca_system_score_codex":0.000040918214,"about_ca_system_score_gemma":0.00039238154,"threshold_uncertainty_score":0.980248},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993513,0.00019198486,0.00005063748,0.00012780045,0.00014571774,0.00009804879,0.0000152196235,0.0000012875647,0.000017994727],"genre_scores_gemma":[0.99892753,0.00003020044,0.00091534934,0.0000065324125,0.00011212011,6.6301965e-7,0.0000011839599,2.1048088e-7,0.000006215258],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99904805,0.00003854312,0.00039871712,0.00008014714,0.0002714726,0.00016303625],"domain_scores_gemma":[0.9989971,0.00024451668,0.00044128133,0.000012735764,0.00021998078,0.00008438005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094739714,0.00006163853,0.00016234658,0.00002573405,0.00008405402,0.000019110865,0.0001423788,0.000042319247,0.000006049443],"category_scores_gemma":[0.00017883931,0.000021578302,0.00004748623,0.00034742814,0.00005767775,0.00026171436,0.000023907287,0.000064656735,1.291793e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017894474,0.000032753895,0.022909496,0.000011720207,0.0000025392849,5.4486183e-8,0.0003120092,0.000049864437,0.9678597,0.000026366759,0.0000044710237,0.008773152],"study_design_scores_gemma":[0.00010653478,0.00024746914,0.9450216,0.00004311144,0.000007870809,0.000018538565,0.00030340368,0.00005422089,0.054054398,0.00006141324,0.000027749673,0.00005365098],"about_ca_topic_score_codex":0.00016179048,"about_ca_topic_score_gemma":0.00014496676,"teacher_disagreement_score":0.92211217,"about_ca_system_score_codex":0.000018176646,"about_ca_system_score_gemma":0.0000066252305,"threshold_uncertainty_score":0.08799376},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99452597,0.0000070047313,0.000002655518,0.000040493353,0.00021151012,0.000073931704,0.000015604886,0.000011602384,0.0051112417],"genre_scores_gemma":[0.99966633,0.000003701386,0.00026278655,0.000019058358,0.000024164536,0.0000018267452,0.0000036074964,3.4626697e-7,0.000018159495],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999177,0.000018855666,0.00011906069,0.00021138231,0.00026595802,0.00020776699],"domain_scores_gemma":[0.9996703,0.00012635527,0.000047162954,0.000046442015,0.000053309745,0.000056405766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038412807,0.00006519081,0.00006886631,0.00002867061,0.00013900608,0.00003137782,0.0001902306,0.00003177255,0.000039146078],"category_scores_gemma":[0.00026887597,0.00002762885,0.00001915368,0.000640329,0.00015611255,0.00008421809,0.00001551252,0.00005972679,0.000008790821],"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":[0.000028573035,0.00006475893,0.19061449,0.0000029192283,3.0015445e-7,5.14056e-7,0.000033747452,0.00058650924,0.8040313,0.000063133455,0.000011803657,0.0045619607],"study_design_scores_gemma":[0.00030210643,0.0006273118,0.84846616,0.000042059648,0.0000013826728,8.189046e-7,0.0000923821,0.012541215,0.13720757,0.000011829169,0.0006263047,0.00008084524],"about_ca_topic_score_codex":0.00003414651,"about_ca_topic_score_gemma":0.000061027546,"teacher_disagreement_score":0.66682374,"about_ca_system_score_codex":0.000027984232,"about_ca_system_score_gemma":0.000019035222,"threshold_uncertainty_score":0.11266718},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99657,0.00005821606,0.000044999866,0.00033571516,0.000060202306,0.00003158848,0.000021949252,0.000008158945,0.0028691597],"genre_scores_gemma":[0.9994724,0.000018594288,0.00028394692,0.00006946222,0.000021916872,0.0000013230488,0.000004871084,1.508179e-7,0.00012732556],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99934494,0.000008364144,0.000104811,0.00017578847,0.00020834772,0.00015776684],"domain_scores_gemma":[0.99975014,0.000048264188,0.00005300276,0.000050091487,0.000028783134,0.00006972153],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014845471,0.000047040103,0.00007960769,0.000041802457,0.00017404681,0.00003632055,0.0002414621,0.000013616414,0.0024669683],"category_scores_gemma":[0.000015355887,0.000018338347,0.00005920467,0.001067863,0.00014578528,0.000050741004,0.000038865724,0.000034260112,0.000049903945],"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":[0.0000011282498,0.000046566485,0.010210615,6.181414e-7,0.000010708984,5.285227e-7,0.000051308136,0.0006469643,0.94277734,0.000031042327,0.00008659069,0.04613658],"study_design_scores_gemma":[0.000048026828,0.00012814607,0.8548232,0.00000703696,0.00012608303,0.0000013296913,0.00010675648,0.08704914,0.03782648,0.00005082739,0.019664783,0.0001682074],"about_ca_topic_score_codex":0.00008052661,"about_ca_topic_score_gemma":0.00013259695,"teacher_disagreement_score":0.90495086,"about_ca_system_score_codex":0.000014116659,"about_ca_system_score_gemma":0.0000027761782,"threshold_uncertainty_score":0.9984449},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979612,0.0012699736,0.000029469422,0.00028572636,0.0002040942,0.00019921424,0.0000036553984,0.0000046025802,0.000042027776],"genre_scores_gemma":[0.99717486,0.00023538196,0.0024275256,0.000029759583,0.000119019904,0.000002346771,6.8554607e-7,4.7120005e-7,0.000009933081],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990547,0.000019741217,0.00032932233,0.00018823189,0.00020678896,0.00020126763],"domain_scores_gemma":[0.99913615,0.00024602193,0.00022075146,0.000021762678,0.00028149394,0.00009383881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054818584,0.00010123364,0.00017914151,0.000028380953,0.0002534942,0.000077791025,0.00016602474,0.000048216396,0.000010945117],"category_scores_gemma":[0.0003010465,0.000036777004,0.0000295959,0.00028292107,0.00012192631,0.00029289402,0.00006745772,0.00009177423,4.4106366e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035192304,0.00003577594,0.13549894,0.000015383854,0.000009869581,0.0000011608641,0.0019238353,0.00003223155,0.8533375,0.00009474856,0.000017195685,0.008998124],"study_design_scores_gemma":[0.000100115074,0.00028397428,0.99599457,0.00007344633,0.000016811191,0.00005628944,0.0007636407,0.00013145938,0.001280979,0.0011844435,0.000015144517,0.0000991417],"about_ca_topic_score_codex":0.00016928503,"about_ca_topic_score_gemma":0.00043290813,"teacher_disagreement_score":0.8604956,"about_ca_system_score_codex":0.000032225762,"about_ca_system_score_gemma":0.0000114751865,"threshold_uncertainty_score":0.19496979},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989412,0.000017890154,8.2076906e-7,0.00013919898,0.00014620101,0.000030207711,0.00010825903,0.000010462087,0.00060579245],"genre_scores_gemma":[0.9995929,0.0000076563065,0.000081667946,0.000042938922,0.00016385812,0.0000013392047,0.0000939954,2.851316e-7,0.000015387846],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995097,0.000014642554,0.00012325296,0.00012880293,0.00010245355,0.00012115799],"domain_scores_gemma":[0.99978745,0.00005332079,0.000037864564,0.00004223505,0.00002457898,0.000054551616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015214723,0.00005305056,0.00012240607,0.000028829683,0.000026656659,0.000016879978,0.00014796796,0.00003341543,0.000780215],"category_scores_gemma":[0.000015284839,0.000020486577,0.00005545216,0.0003928858,0.000016904623,0.000035069654,0.000012433175,0.00008937057,0.0000059872077],"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":[0.000003978977,0.000053808017,0.28753647,0.0000010806374,0.000020777048,0.0000061625688,0.000024141988,0.000045466833,0.70493674,0.000055018318,0.00016428261,0.0071520563],"study_design_scores_gemma":[0.000034821456,0.00008259329,0.9839229,0.000002239689,0.000038286922,0.0000028986385,0.000097041164,0.0017424504,0.011606922,0.000096917596,0.0023003155,0.00007261909],"about_ca_topic_score_codex":0.00044725553,"about_ca_topic_score_gemma":0.0065799765,"teacher_disagreement_score":0.6963864,"about_ca_system_score_codex":0.0000021478238,"about_ca_system_score_gemma":0.000002662869,"threshold_uncertainty_score":0.85428077},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99801105,0.0000627349,7.779696e-7,0.00010504089,0.000008121326,0.00002531593,0.000017956427,0.000002395187,0.0017666131],"genre_scores_gemma":[0.999648,0.000007677898,0.0001183992,0.000007853021,0.000003261913,3.4754476e-7,0.0000025830216,8.766163e-8,0.00021184397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995436,0.0000047378367,0.00011862177,0.0001221684,0.000118313066,0.000092546165],"domain_scores_gemma":[0.999748,0.000111614485,0.000048014645,0.000024171148,0.000034646902,0.000033576067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017908351,0.00003267403,0.00008822216,0.000053594526,0.000070982955,0.0000183893,0.00012464059,0.00001674771,0.00035005613],"category_scores_gemma":[0.00006216099,0.000013375755,0.000022718892,0.0013351314,0.00019250001,0.00005504751,0.000026477612,0.00003326968,0.0000010376176],"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":[2.5805173e-7,0.000018610388,0.6213168,4.022803e-7,0.0000017223832,1.5928083e-7,0.0002616262,0.000038218594,0.37677637,0.00005775257,0.0000058596906,0.0015222067],"study_design_scores_gemma":[0.000018419729,0.000054602766,0.9940808,0.0000047476105,0.000015767651,4.6798587e-7,0.00006977816,0.0034941214,0.002064531,0.000059145896,0.000104023544,0.000033611086],"about_ca_topic_score_codex":0.007246069,"about_ca_topic_score_gemma":0.16870537,"teacher_disagreement_score":0.37471184,"about_ca_system_score_codex":0.0000083217465,"about_ca_system_score_gemma":0.0000055516016,"threshold_uncertainty_score":0.9993648},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99869794,0.0002722735,0.00006220385,0.00044196154,0.00020930986,0.00011313745,0.00018317244,0.0000019145953,0.00001811475],"genre_scores_gemma":[0.9965962,0.0001805889,0.002999893,0.00003582765,0.00016139602,0.0000011929819,0.000013363513,0.0000010302685,0.000010475303],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990987,0.00001361759,0.00025483148,0.00022307521,0.0001202589,0.0002894691],"domain_scores_gemma":[0.99915934,0.0001848819,0.0001311228,0.000029859688,0.000046646164,0.0004481688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009117469,0.00010433302,0.00016016723,0.00011600739,0.00028676918,0.00013297555,0.00015154415,0.000062562875,0.000014218222],"category_scores_gemma":[0.00009217467,0.000052419906,0.000022646853,0.00013955146,0.00018663636,0.00026376543,0.000030371722,0.00021714688,3.5503496e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008858821,0.000022226812,0.12395611,0.000024718853,0.00001543219,0.000052046275,0.0009766363,0.0017836648,0.831238,0.0003442027,0.000119801676,0.041378576],"study_design_scores_gemma":[0.0014525303,0.0015796094,0.38408223,0.00041656604,0.000083626175,0.0025015313,0.0026321406,0.55755806,0.018918583,0.0017452872,0.027968062,0.0010617421],"about_ca_topic_score_codex":0.002248174,"about_ca_topic_score_gemma":0.04105507,"teacher_disagreement_score":0.8123194,"about_ca_system_score_codex":0.000026447658,"about_ca_system_score_gemma":0.00008543625,"threshold_uncertainty_score":0.9764432},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98609966,0.00018452138,0.00001556801,0.0030725698,0.00008769141,0.00017882805,0.000022265738,0.000025640496,0.010313282],"genre_scores_gemma":[0.9948074,0.000030184692,0.0018746256,0.00013197486,0.00068874616,0.000014043326,0.0000107639235,6.3385994e-7,0.0024416088],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994385,0.000011748746,0.000111673355,0.00015743666,0.000080076425,0.00020053102],"domain_scores_gemma":[0.9997855,0.00010416796,0.000027043103,0.000019634617,0.000024521341,0.000039154642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012942254,0.000063466156,0.00007593607,0.0000074823292,0.00007760795,0.000028203976,0.00008531826,0.000048746344,0.00016502573],"category_scores_gemma":[0.000027847354,0.00002750627,0.000034160646,0.00014183043,0.00000964181,0.0000305816,0.000011548372,0.000055335295,0.00003466878],"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":[0.0004874054,0.00033978553,0.116441265,0.00007222616,0.000026643958,0.000004844529,0.0005601175,0.00024606148,0.57577586,0.014121474,0.08160027,0.21032405],"study_design_scores_gemma":[0.0002552186,0.00014789918,0.24167325,0.000031850224,0.0000062178133,0.0000030824338,0.000045906094,0.0012664876,0.004836137,0.002358289,0.74916387,0.00021181171],"about_ca_topic_score_codex":0.000037371665,"about_ca_topic_score_gemma":0.0067665353,"teacher_disagreement_score":0.66756356,"about_ca_system_score_codex":0.000017284021,"about_ca_system_score_gemma":0.0000037313123,"threshold_uncertainty_score":0.37758854},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976135,0.0004490045,7.509835e-7,0.0005311009,0.00009582601,0.000048321035,0.00000873741,0.000025060883,0.0012277197],"genre_scores_gemma":[0.99944234,0.000087361324,0.00008599753,0.0001509425,0.0001998742,0.0000013078218,0.000010487389,2.8488822e-7,0.00002140165],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994966,0.000011954919,0.000095124604,0.0001521909,0.000085690015,0.00015844099],"domain_scores_gemma":[0.99984944,0.000046669982,0.000021817219,0.000017893812,0.0000083932055,0.00005576489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009196847,0.000067386834,0.000077704106,0.000010353527,0.00006610541,0.0000442441,0.000067608045,0.000061272935,0.000075488104],"category_scores_gemma":[0.000012999777,0.0000262867,0.000017799624,0.00011315819,0.000008930444,0.000054459466,0.000020775866,0.00007297714,0.0000050077956],"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":[0.000010090665,0.00003066898,0.20341966,0.0000024908697,0.0000015869305,0.000009598679,0.0000814886,0.000005457705,0.56111735,0.00003672451,0.0008934239,0.23439144],"study_design_scores_gemma":[0.00007670018,0.000116490315,0.994594,0.000032930868,0.0000018776274,0.000011267353,0.00007475226,0.00019592035,0.002666456,0.00043409632,0.0017085577,0.000086969914],"about_ca_topic_score_codex":0.000067832705,"about_ca_topic_score_gemma":0.00010161212,"teacher_disagreement_score":0.7911743,"about_ca_system_score_codex":0.0000056734307,"about_ca_system_score_gemma":0.000001061148,"threshold_uncertainty_score":0.10719405},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737066,0.0000029990426,0.000039806222,0.0019507118,0.0001517513,0.00015293715,0.000012059255,0.000012867225,0.00030618926],"genre_scores_gemma":[0.99956214,0.0000015389813,0.00017989123,0.00014686608,0.00007391259,0.0000055424066,0.000004474396,2.3257067e-7,0.000025383571],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995112,0.000011266259,0.00007313755,0.00016380624,0.00011894498,0.00012163877],"domain_scores_gemma":[0.9995655,0.00028947426,0.000041316376,0.000027678145,0.00004102877,0.00003504176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006461088,0.00004434414,0.000041841737,0.000007561244,0.0006605961,0.00014889413,0.0001028118,0.000028575245,0.00003184045],"category_scores_gemma":[0.00013190448,0.000014767516,0.00001563646,0.00015812847,0.00012310006,0.00006392171,0.000017779636,0.0000635595,0.0000026696716],"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":[0.000006016391,0.0000068774784,0.0041473047,0.00000112607,2.7297722e-7,1.7561277e-8,0.000016119997,0.0000034975226,0.98098725,0.0058089127,0.000023514152,0.008999112],"study_design_scores_gemma":[0.0000418495,0.0001710627,0.85935074,0.000017392502,0.000004396166,0.000011662323,0.00005962573,0.0031283554,0.13139737,0.0048823506,0.0008149786,0.00012019408],"about_ca_topic_score_codex":0.00018935767,"about_ca_topic_score_gemma":0.00054103916,"teacher_disagreement_score":0.85520345,"about_ca_system_score_codex":0.0000053565204,"about_ca_system_score_gemma":0.0000037723296,"threshold_uncertainty_score":0.5080838},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967428,0.0020961545,1.0296723e-7,0.00076494494,0.00016787404,0.000054902128,0.000005642775,0.0000028875468,0.00016473471],"genre_scores_gemma":[0.9994796,0.00028547578,0.0000681526,0.000026605961,0.000121565,4.1431053e-7,3.1227e-7,1.8802565e-7,0.000017702632],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998963,0.00002165193,0.00032204637,0.00009839873,0.00033097368,0.00026394677],"domain_scores_gemma":[0.9990379,0.0003468447,0.000229748,0.000014330256,0.00025010682,0.000121058496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012425621,0.00008366972,0.00022284701,0.000019139765,0.00011085925,0.000030666848,0.00020743224,0.00004689469,0.0000207038],"category_scores_gemma":[0.00068132003,0.000024803447,0.00004982046,0.00054152135,0.0001618664,0.00037878583,0.00006233245,0.000121190715,4.8715555e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005425077,0.00004823903,0.13577774,0.000004217134,0.000005926648,5.031979e-7,0.0005157602,0.0000057975426,0.8594294,0.000018959963,0.00007630723,0.0041117216],"study_design_scores_gemma":[0.000042910564,0.0002001789,0.9793864,0.0000807873,0.0000083281575,0.0000327998,0.0021830113,0.0000012479062,0.017899632,0.000055481134,0.00003924413,0.00006999472],"about_ca_topic_score_codex":0.000103300605,"about_ca_topic_score_gemma":0.00058265764,"teacher_disagreement_score":0.8436086,"about_ca_system_score_codex":0.000036321748,"about_ca_system_score_gemma":0.000010211227,"threshold_uncertainty_score":0.10114552},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99463934,0.000026561178,0.0000016126562,0.0032505302,0.000026504238,0.00013949905,0.0000045295023,0.000008826567,0.0019025836],"genre_scores_gemma":[0.9992709,0.000019071162,0.00006953459,0.00051250425,0.000037705715,0.000007480169,0.0000044003227,2.191306e-7,0.0000781922],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919647,0.000038789352,0.000062545165,0.00019445061,0.0003850576,0.00012266074],"domain_scores_gemma":[0.99978065,0.00007881771,0.000022723181,0.00004050093,0.000020188574,0.000057140496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008651772,0.00005140081,0.000031992375,0.0000067891388,0.00045958444,0.000107800486,0.00012794597,0.000017272383,0.0008542828],"category_scores_gemma":[0.00004424189,0.000015510512,0.000010152909,0.00021155742,0.00025534575,0.000059320595,0.000015898833,0.000037676942,0.000041175008],"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":[0.0000050344306,0.000015163173,0.0051115183,7.403712e-7,5.100702e-7,2.9109358e-7,0.00010133371,0.0012270337,0.83990467,0.00020254344,0.00015386465,0.1532773],"study_design_scores_gemma":[0.000083895844,0.0001772088,0.84799296,0.000018258685,0.000006347443,0.000002227718,0.00006943795,0.11088212,0.031560034,0.0010513915,0.008033596,0.00012249826],"about_ca_topic_score_codex":0.00004306622,"about_ca_topic_score_gemma":0.000008975899,"teacher_disagreement_score":0.84288144,"about_ca_system_score_codex":0.00001651612,"about_ca_system_score_gemma":0.000010270706,"threshold_uncertainty_score":0.93537974},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758863,0.00075751106,0.000024418792,0.00005034,0.00004848236,0.00031323775,0.0010509754,0.000016579781,0.00014983646],"genre_scores_gemma":[0.99895185,0.000091951595,0.0006502309,0.000009296515,0.00017289625,0.0000054881257,0.000091487986,0.0000016149,0.00002516502],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985229,0.00006223723,0.00033746765,0.0003083943,0.00041303982,0.00035597448],"domain_scores_gemma":[0.99894065,0.0005817679,0.00023639451,0.00006917113,0.000084839034,0.0000871788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020323317,0.00019235603,0.0002840845,0.00003776222,0.00022964732,0.000044126286,0.0004144411,0.00008481629,0.0000307939],"category_scores_gemma":[0.000053306874,0.00007759019,0.00023199947,0.00018279652,0.00006296138,0.000029521296,0.00017188587,0.00008554032,0.0000018212226],"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":[0.00011342825,0.000055017976,0.21497826,0.000038619546,0.00003540166,0.00000632111,0.00018919904,0.0067478456,0.77525526,0.000017872027,0.00034787756,0.0022149151],"study_design_scores_gemma":[0.00014449701,0.0011486185,0.9760149,0.00020114337,0.000037888552,0.000029921786,0.000119789285,0.0005632583,0.021330893,0.00010386317,0.00012203604,0.00018315975],"about_ca_topic_score_codex":0.003594955,"about_ca_topic_score_gemma":0.00022157255,"teacher_disagreement_score":0.7610367,"about_ca_system_score_codex":0.000021198006,"about_ca_system_score_gemma":0.0000076237156,"threshold_uncertainty_score":0.543452},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013355383,0.98419327,0.000065080596,0.00016323285,0.0006381414,0.0009912938,0.00047585447,0.0000134992615,0.00010423158],"genre_scores_gemma":[0.00015050691,0.99555,0.002903938,0.00008795447,0.00030128128,0.000021027272,0.00003071458,0.0000015973143,0.00095300464],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846417,0.000045930945,0.000241719,0.0005626699,0.00024632868,0.00043919377],"domain_scores_gemma":[0.9993565,0.0001360458,0.00014132603,0.00009314322,0.00004567714,0.00022728475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009880798,0.00021199549,0.00047032398,0.000069095615,0.00093315844,0.00014971732,0.0011101308,0.00011431611,0.000010550832],"category_scores_gemma":[0.000056482222,0.000077162054,0.00007069579,0.00061212596,0.00014392353,0.000051047995,0.00089280924,0.00013907117,0.0000099322115],"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":[0.000022188786,0.000007829745,0.0035044316,0.00023185046,0.000012905212,0.0000045076627,0.00046020007,0.000013493298,0.00007298386,0.0000033063218,0.08046193,0.9152044],"study_design_scores_gemma":[0.000053362837,0.000089080684,0.0045858123,0.00041633754,0.00006341441,0.000021655844,0.00009553863,0.00033800982,6.690464e-7,0.00007478677,0.99404275,0.00021860062],"about_ca_topic_score_codex":0.0025532139,"about_ca_topic_score_gemma":0.00091935013,"teacher_disagreement_score":0.9149858,"about_ca_system_score_codex":0.000098507,"about_ca_system_score_gemma":0.000086492066,"threshold_uncertainty_score":0.71771944},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899489,0.000015771433,0.009629184,0.000114346825,0.000073496776,0.00015607674,0.000013647983,0.000004942002,0.000043601744],"genre_scores_gemma":[0.99773175,0.000020300082,0.002177615,0.00002148661,0.000017911949,0.000012330932,0.000009136254,2.2017291e-7,0.000009230649],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995298,0.000008712909,0.000106002946,0.00015528225,0.00009122091,0.00010899736],"domain_scores_gemma":[0.9997117,0.000113842114,0.00004727028,0.000020205754,0.00005395459,0.000053038042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015343084,0.0000430599,0.00005328917,0.000012593025,0.00010297532,0.00007489628,0.0000846416,0.000022518467,0.0000716227],"category_scores_gemma":[0.00008555498,0.000018214425,0.000011282125,0.000081354105,0.00019289176,0.00016513564,0.000035182504,0.000031799405,0.0000032565147],"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":[0.000008477572,0.000010865197,0.0012884819,0.000003104667,6.0815097e-7,2.0097998e-8,0.000054649052,0.000007336155,0.87614083,0.00048843864,0.000008278239,0.12198891],"study_design_scores_gemma":[0.00012475485,0.0010285348,0.6621067,0.000025230689,0.000010931761,0.0000046666155,0.00034518776,0.29424173,0.0345388,0.006883278,0.0005178295,0.00017238065],"about_ca_topic_score_codex":0.00013301251,"about_ca_topic_score_gemma":0.0000321433,"teacher_disagreement_score":0.841602,"about_ca_system_score_codex":0.000009367277,"about_ca_system_score_gemma":0.0000047054796,"threshold_uncertainty_score":0.07920133},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648076,0.00016178766,0.0000100244415,0.001882319,0.0007219367,0.00023387266,0.00033327204,0.0000017684738,0.00017424257],"genre_scores_gemma":[0.9980071,0.0000070821507,0.0012159862,0.00027426562,0.00039432922,0.0000095036485,0.000033176522,8.217833e-7,0.0000577181],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99918175,0.00005165403,0.00025656872,0.00012442742,0.00010145525,0.00028415237],"domain_scores_gemma":[0.9993128,0.0001180316,0.0001016636,0.000030246469,0.00012565254,0.00031160176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063454505,0.000073434145,0.00015696246,0.00004681471,0.00007593392,0.000026773776,0.00019775445,0.00011059825,0.00014834001],"category_scores_gemma":[0.00029394947,0.00003412428,0.000046294415,0.000117430296,0.000028687362,0.000031510193,0.00000578486,0.00017191654,0.0000044132544],"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":[0.00024765127,0.00003227366,0.13561343,0.000011346025,0.000011177263,0.0007266053,0.00032259314,0.000038069953,0.82211596,0.0020455825,0.007752712,0.0310826],"study_design_scores_gemma":[0.00041676415,0.00037675997,0.81584346,0.000032844044,0.000017245193,0.0007677158,0.00006685313,0.00006715027,0.003113175,0.0016721425,0.17747253,0.0001533553],"about_ca_topic_score_codex":0.00022368741,"about_ca_topic_score_gemma":0.41713,"teacher_disagreement_score":0.8190028,"about_ca_system_score_codex":0.000027776585,"about_ca_system_score_gemma":0.00013759019,"threshold_uncertainty_score":0.59350586},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99815184,0.00007482812,0.0013038175,0.00010385224,0.000113685484,0.00010020449,0.00001934825,0.000035043944,0.00009735602],"genre_scores_gemma":[0.9986996,0.000035264908,0.0010866345,0.000026754753,0.00009575578,0.000017582379,0.000016803411,6.292317e-7,0.000020946445],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914384,0.000016511787,0.00014172542,0.00033858366,0.00014632769,0.0002129854],"domain_scores_gemma":[0.99968094,0.000051568793,0.00006739136,0.00005241632,0.00003580994,0.00011185667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042461164,0.0000871222,0.000102488244,0.00004514462,0.00039027483,0.00022917343,0.00022686589,0.000023942579,0.00003728094],"category_scores_gemma":[0.000022314634,0.00003633368,0.000037439295,0.00039665238,0.000095278614,0.0003064075,0.000053631138,0.000049741324,0.0000073296296],"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":[0.000017664135,0.000022228509,0.013238714,0.0000048102543,0.000012689005,4.0488905e-7,0.0004064082,0.0015445666,0.8050332,0.00012354257,0.0000073123088,0.17958844],"study_design_scores_gemma":[0.00021817037,0.0009544491,0.29934722,0.00012571873,0.00024087983,0.000026164522,0.007962024,0.5097204,0.11692263,0.000025833066,0.0637179,0.0007386354],"about_ca_topic_score_codex":0.00010112935,"about_ca_topic_score_gemma":0.00021203868,"teacher_disagreement_score":0.6881106,"about_ca_system_score_codex":0.000060023267,"about_ca_system_score_gemma":0.0000045954234,"threshold_uncertainty_score":0.3001718},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971755,0.00009611997,0.000013609376,0.0003602716,0.000079523925,0.00003965436,0.000031797517,0.00001429434,0.0021892097],"genre_scores_gemma":[0.9991578,0.00002182324,0.0003560584,0.00007019096,0.00010495412,8.269104e-7,0.000009513888,1.7215055e-7,0.00027864685],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993214,0.0000072486187,0.00010765631,0.00017954322,0.00020724013,0.0001768844],"domain_scores_gemma":[0.9997127,0.000035055582,0.00006458807,0.000040950916,0.00007387215,0.000072818104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002572046,0.000052564264,0.00006155941,0.0000125780525,0.00008743315,0.000054791686,0.000406494,0.00001648312,0.00025143274],"category_scores_gemma":[0.00006444206,0.000018444438,0.000018799758,0.00043272635,0.00022072498,0.00015586632,0.00010926818,0.00004021414,0.000021534768],"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":[0.0000029032026,0.000017313412,0.004954932,0.0000015657799,5.02812e-7,6.844263e-7,0.000062916246,0.000008793727,0.95407724,0.00026298812,0.0004876255,0.04012251],"study_design_scores_gemma":[0.0001478133,0.0003094805,0.20128018,0.00008697437,0.000009125676,0.000033277363,0.00030450802,0.008955236,0.71806556,0.00010678343,0.07036407,0.00033696636],"about_ca_topic_score_codex":0.00019071231,"about_ca_topic_score_gemma":0.0002776792,"teacher_disagreement_score":0.23601168,"about_ca_system_score_codex":0.000007100506,"about_ca_system_score_gemma":0.000012022266,"threshold_uncertainty_score":0.27530122},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964385,0.000029827468,0.0000035183675,0.0007137259,0.0002002418,0.0000839444,0.0000059163417,0.0000057452107,0.0025185589],"genre_scores_gemma":[0.99929905,0.000016710972,0.000046896042,0.00024118731,0.00008418532,0.00000398998,0.000003221639,2.2808358e-7,0.00030455945],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993831,0.000005478941,0.00008703666,0.00018706196,0.00012618037,0.00021112892],"domain_scores_gemma":[0.99978536,0.000074022784,0.00002200328,0.000028056933,0.0000324197,0.00005815106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014491298,0.000047746387,0.00005073604,0.000008632641,0.00017281079,0.00005983272,0.0002079601,0.000014079285,0.00020364443],"category_scores_gemma":[0.00003315836,0.000019910252,0.000013162024,0.00031062405,0.000036567933,0.0000947631,0.000014771613,0.000044367676,0.000007152396],"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":[0.000038236143,0.000013056849,0.019195817,0.0000027358099,7.1232057e-7,0.000006319891,0.000069783695,0.00063307927,0.5080928,0.00011576545,0.0017053812,0.4701263],"study_design_scores_gemma":[0.0002625462,0.00036005655,0.8077739,0.0000980334,0.0000057310926,0.00006163841,0.0005880059,0.015752273,0.04731396,0.0007086607,0.12655741,0.0005178269],"about_ca_topic_score_codex":0.6134417,"about_ca_topic_score_gemma":0.8886867,"teacher_disagreement_score":0.78857803,"about_ca_system_score_codex":0.00007828631,"about_ca_system_score_gemma":0.00008241211,"threshold_uncertainty_score":0.3891324},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991676,0.00030944185,0.00011170346,0.000105112726,0.0001429409,0.00013478987,0.00001785146,0.0000014042126,0.000009127751],"genre_scores_gemma":[0.9946541,0.00007254441,0.0052061602,0.000007780444,0.00005300027,9.775886e-7,0.0000012618731,3.261419e-7,0.0000038452904],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99901944,0.000022636772,0.00035940562,0.0000997159,0.0002763052,0.00022246655],"domain_scores_gemma":[0.9991972,0.0001831219,0.00034892443,0.000019708421,0.00014665387,0.00010439249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042373096,0.00009054567,0.00021148537,0.000029441208,0.00009217842,0.00004182964,0.00018527952,0.000037046277,0.0000024091387],"category_scores_gemma":[0.00011563553,0.000029580788,0.00006742375,0.00026406613,0.00013573751,0.0003767742,0.00004625012,0.00006860732,3.763222e-8],"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":[0.000025813719,0.00006601132,0.019666266,0.000017681441,0.0000047961516,2.4402664e-7,0.0006692564,0.013898426,0.95917183,0.000060375976,0.000015030017,0.006404288],"study_design_scores_gemma":[0.00015771309,0.00019515598,0.94732565,0.00012663046,0.000017016971,0.00004364682,0.00071758206,0.010637675,0.040108927,0.0005774457,0.0000014097765,0.00009115064],"about_ca_topic_score_codex":0.00029461295,"about_ca_topic_score_gemma":0.000095468895,"teacher_disagreement_score":0.9276594,"about_ca_system_score_codex":0.000027031136,"about_ca_system_score_gemma":0.00000910967,"threshold_uncertainty_score":0.12062695},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99860275,0.00016517645,0.000031648397,0.0005913768,0.000047082583,0.000067176,0.000017524268,0.000010276078,0.00046700955],"genre_scores_gemma":[0.9990919,0.000031040065,0.0006326674,0.00014429737,0.000027002232,0.000002410739,0.0000014566107,2.2136346e-7,0.000068958],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990959,0.000021572527,0.00014375839,0.0002458851,0.0002786217,0.00021426598],"domain_scores_gemma":[0.9995017,0.000175861,0.000093979186,0.00005826256,0.00012097703,0.000049220645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025585675,0.000071737326,0.00012392004,0.000024390181,0.00035826548,0.00006362472,0.00058059645,0.000029023226,0.00013485522],"category_scores_gemma":[0.00029879747,0.0000210655,0.000071717484,0.0028250797,0.00043843873,0.00006792232,0.000107425636,0.000056857683,0.000005244969],"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":[0.0000029770097,0.000022955071,0.010666462,0.000002822387,0.000011551215,2.0988364e-7,0.00013993608,0.0013503252,0.9812395,0.00029543746,0.000044475542,0.0062233224],"study_design_scores_gemma":[0.000016651236,0.000098854725,0.97791094,0.000013640507,0.000046404606,0.0000012195311,0.0003202033,0.00461497,0.01627762,0.00028556844,0.00032393553,0.00008999453],"about_ca_topic_score_codex":0.00009237532,"about_ca_topic_score_gemma":0.00072297617,"teacher_disagreement_score":0.96724445,"about_ca_system_score_codex":0.000010325064,"about_ca_system_score_gemma":0.000026155682,"threshold_uncertainty_score":0.27555248},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806595,0.00018512057,0.000043637043,0.0003096027,0.0007123291,0.00016361706,0.00039971693,0.0000025638594,0.00011743624],"genre_scores_gemma":[0.99887913,0.000017069544,0.0008678926,0.000047919813,0.00015261311,8.0905625e-7,0.000013253181,5.2577775e-7,0.00002077203],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99874717,0.000015593141,0.0004025389,0.00015703707,0.00024127444,0.0004363929],"domain_scores_gemma":[0.99862635,0.00023964503,0.00027912305,0.00004235452,0.00026398498,0.000548563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024336232,0.00008788344,0.00018675826,0.00008125523,0.00027262102,0.000056035722,0.0005255061,0.000043640808,0.000024920506],"category_scores_gemma":[0.0002209466,0.0000360363,0.000075047974,0.00038328033,0.00021663368,0.000104012666,0.000015632426,0.000094307856,7.9939434e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007589784,0.000029775127,0.039969347,0.00001585472,0.000008547261,0.000044817683,0.00025918763,0.00005711123,0.9361665,0.00083308585,0.00040380665,0.022136033],"study_design_scores_gemma":[0.000900367,0.0022537075,0.8070545,0.00038139796,0.000048059734,0.001256117,0.0008948917,0.00073298335,0.11519969,0.0063287676,0.0643509,0.00059856696],"about_ca_topic_score_codex":0.00393706,"about_ca_topic_score_gemma":0.08557169,"teacher_disagreement_score":0.82096684,"about_ca_system_score_codex":0.000058989404,"about_ca_system_score_gemma":0.00035606552,"threshold_uncertainty_score":0.93111426},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706674,0.00070661225,7.545033e-7,0.0014534929,0.00037382593,0.00014425408,0.000018061673,0.0000032194475,0.00023303174],"genre_scores_gemma":[0.99914587,0.000049348087,0.00026436098,0.000067141315,0.00044962397,0.0000017688419,0.0000024040376,4.1903414e-7,0.00001906674],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975936,0.00009395819,0.00041929717,0.00014083392,0.0013774434,0.00037490134],"domain_scores_gemma":[0.9984751,0.00010432084,0.00027213787,0.00003579298,0.0008941171,0.00021853417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028916365,0.00011417284,0.0002153455,0.000054952216,0.00012749458,0.000065819986,0.0004621969,0.000049673956,0.0000915991],"category_scores_gemma":[0.00024697112,0.000035584253,0.000083922016,0.000883384,0.000059809103,0.00074690947,0.00006992038,0.00010686411,0.000007934625],"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":[0.000011993664,0.00008783838,0.016210549,0.000003069026,0.0000053809435,7.0588004e-7,0.00051897694,0.00075972226,0.9614241,0.000050927352,0.00007294164,0.02085377],"study_design_scores_gemma":[0.00009322874,0.00021933013,0.9034471,0.00007666377,0.0000306864,0.000042023512,0.0011201556,0.00006216038,0.09460133,0.00005611322,0.00013962037,0.000111602996],"about_ca_topic_score_codex":0.00020624633,"about_ca_topic_score_gemma":0.00032784516,"teacher_disagreement_score":0.88723654,"about_ca_system_score_codex":0.00010425018,"about_ca_system_score_gemma":0.000037840124,"threshold_uncertainty_score":0.14510837},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99711174,0.00016045925,0.0000168496,0.0016330256,0.00024490393,0.000024802966,0.0001983713,0.0000024863918,0.00060733355],"genre_scores_gemma":[0.99879473,0.000047816025,0.00013961949,0.0008684602,0.00008480375,1.3990874e-7,0.0000064402125,2.3739918e-7,0.000057727633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999022,0.00001803137,0.0001992517,0.00013390333,0.00030596327,0.0003208701],"domain_scores_gemma":[0.9989534,0.000067446636,0.00012852708,0.00003572958,0.0001500217,0.0006648701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043416474,0.000071215574,0.00015817526,0.00015265225,0.0005409799,0.00008112316,0.0005074356,0.000034039207,0.00045486927],"category_scores_gemma":[0.000062305,0.000028076538,0.00010612099,0.0015262553,0.00023191569,0.00012539522,0.000011009642,0.0000930965,0.0000073731226],"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":[0.000030175031,0.000033862685,0.55559677,0.0000040878667,0.00019599365,0.0011339238,0.0014638243,0.00034356047,0.3203617,0.0004940305,0.1120061,0.008335946],"study_design_scores_gemma":[0.00011901267,0.00016902776,0.840744,0.00001809207,0.00008703071,0.0009963288,0.00035412243,0.00077164493,0.0052708643,0.00022172256,0.15103124,0.00021687557],"about_ca_topic_score_codex":0.010222402,"about_ca_topic_score_gemma":0.1094946,"teacher_disagreement_score":0.31509086,"about_ca_system_score_codex":0.00003846338,"about_ca_system_score_gemma":0.00026273378,"threshold_uncertainty_score":0.9963686},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928261,0.00039326143,2.6478477e-7,0.0007758935,0.00005477956,0.00006047631,0.0000047142757,0.0000066187317,0.0058778655],"genre_scores_gemma":[0.99893683,0.00053031184,0.000067584384,0.00031143296,0.000081618586,0.0000013530585,0.0000010493283,1.8094828e-7,0.00006960817],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99929017,0.00001418367,0.00007685248,0.00018545506,0.00020143583,0.00023192073],"domain_scores_gemma":[0.99983174,0.000056014123,0.000014643994,0.000033431,0.00001460564,0.00004957222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045995528,0.000053678355,0.00004563196,0.000008637889,0.00028919394,0.00019181156,0.0003643987,0.00002145365,0.00016924646],"category_scores_gemma":[0.000013599096,0.0000165439,0.000011013645,0.00046885473,0.00021030827,0.0000617607,0.000038545088,0.00006324879,0.0000135867185],"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":[0.0000044557046,0.000020805817,0.051166143,0.0000018951164,4.787071e-7,0.0000068229497,0.00061512203,0.00003672996,0.42785636,0.00036116168,0.00018509266,0.51974493],"study_design_scores_gemma":[0.000047055702,0.000083784274,0.9612785,0.000010721468,0.0000015060696,0.000035905836,0.00044740448,0.00082776847,0.000904275,0.00031849428,0.03594305,0.00010155671],"about_ca_topic_score_codex":0.00009650928,"about_ca_topic_score_gemma":0.00010846084,"teacher_disagreement_score":0.9101123,"about_ca_system_score_codex":0.000005453424,"about_ca_system_score_gemma":0.0000058386167,"threshold_uncertainty_score":0.22242753},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966073,0.00081966614,0.000013455114,0.002054004,0.00013319172,0.00018748299,0.000045070472,0.000009079572,0.00013075882],"genre_scores_gemma":[0.99698585,0.0015290356,0.00058862637,0.0005459175,0.0003304775,0.0000017148549,0.0000024698845,0.0000022863908,0.000013616761],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99667865,0.0012737237,0.001151154,0.0002210665,0.0002683312,0.0004070532],"domain_scores_gemma":[0.99445766,0.0045397608,0.00051518454,0.00009616562,0.00022558357,0.00016562131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029119845,0.00020623571,0.0010287493,0.000052941912,0.000084292486,0.000011168193,0.00033420938,0.00015674662,0.00006873541],"category_scores_gemma":[0.0011728511,0.00007790712,0.00027330214,0.00032525096,0.00026850277,0.000079234786,0.00009743887,0.00063896185,0.000017984112],"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":[0.010367099,0.0015606933,0.1227895,0.000038886996,0.00040639236,0.0005796482,0.0018471566,0.113639385,0.21811892,0.00047022913,0.0003239666,0.5298581],"study_design_scores_gemma":[0.0008724482,0.000584918,0.98068124,0.00010264247,0.00011402693,0.00028424512,0.0003859127,0.0044337977,0.010118781,0.0011388568,0.0011200763,0.00016305043],"about_ca_topic_score_codex":0.00021866703,"about_ca_topic_score_gemma":0.00022129033,"teacher_disagreement_score":0.85789174,"about_ca_system_score_codex":0.000009665942,"about_ca_system_score_gemma":0.000033152966,"threshold_uncertainty_score":0.31769603},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969679,0.000051014675,0.00009674664,0.0004625296,0.0006343365,0.000063117644,0.0014409163,0.0000022806237,0.00028116614],"genre_scores_gemma":[0.9983649,0.0000033995514,0.001108207,0.00006351768,0.00029106272,5.3538344e-7,0.0001374914,2.6116706e-7,0.00003057567],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99909556,0.000007907573,0.0001865121,0.00018626185,0.00020797645,0.00031577013],"domain_scores_gemma":[0.9989671,0.00007665231,0.00013506303,0.00007728276,0.00013400793,0.00060991215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075828575,0.000070961796,0.00012914193,0.00008311498,0.00040421615,0.00021410131,0.0012282697,0.00003768961,0.00016706198],"category_scores_gemma":[0.00013119951,0.000025513835,0.000055284963,0.0006850492,0.00011860128,0.00024369746,0.000029355591,0.00011233054,0.0000019541214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049676346,0.000008527364,0.04996287,0.0000012080594,0.00003746508,0.000016758748,0.000115332536,0.000034885397,0.9425662,0.00045420963,0.0024127164,0.0043848674],"study_design_scores_gemma":[0.00015673341,0.00022062895,0.89752585,0.000017127388,0.00014722846,0.0003311638,0.00081604166,0.0024717106,0.012706004,0.00021822855,0.085066006,0.00032326803],"about_ca_topic_score_codex":0.002938718,"about_ca_topic_score_gemma":0.14340925,"teacher_disagreement_score":0.9298602,"about_ca_system_score_codex":0.000015484618,"about_ca_system_score_gemma":0.00017020617,"threshold_uncertainty_score":0.8722213},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992327,0.00014309993,0.0000013470077,0.00016922131,0.000119175864,0.000027894654,0.000103962746,6.276774e-7,0.00020193904],"genre_scores_gemma":[0.9998,0.00007906083,0.000015922398,0.00005094882,0.000033455635,1.2538173e-7,0.0000024859012,1.7151272e-7,0.000017827088],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99946284,0.000019077732,0.00014240638,0.00007988269,0.00016818047,0.00012759658],"domain_scores_gemma":[0.99943244,0.00017229488,0.00012229133,0.000017438426,0.000019742047,0.00023577698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047879593,0.000045990593,0.00009211498,0.00002794586,0.0001736091,0.000018418757,0.00013527967,0.000020466627,0.000055555778],"category_scores_gemma":[0.00008211175,0.000018104145,0.000020841224,0.00007939298,0.00014382828,0.00006228308,0.000006440076,0.00007217949,0.0000020272084],"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":[0.000017637485,0.0000050703798,0.06332509,0.000002106425,0.0000023504838,0.000011689599,0.000096575735,0.000017057795,0.9306907,0.000028923661,0.00046639633,0.005336417],"study_design_scores_gemma":[0.00008634942,0.0013484412,0.8925566,0.00005946495,0.0000051473144,0.0002985761,0.00012923194,0.000030350688,0.096644044,0.000029107587,0.008699165,0.00011351009],"about_ca_topic_score_codex":0.0046641165,"about_ca_topic_score_gemma":0.0036688303,"teacher_disagreement_score":0.83404666,"about_ca_system_score_codex":0.000023522527,"about_ca_system_score_gemma":0.000037125472,"threshold_uncertainty_score":0.705078},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99656844,0.00011234569,0.000019357876,0.0024209677,0.00017592507,0.00024324615,0.00000843168,0.000008053641,0.0004432084],"genre_scores_gemma":[0.99947137,0.000040424464,0.00012860527,0.00007210033,0.00027220673,0.0000032031212,6.831145e-7,3.831683e-7,0.000011020259],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985863,0.00007601558,0.00035362047,0.00022670304,0.00049993105,0.0002574398],"domain_scores_gemma":[0.9976436,0.0012878709,0.00032662234,0.00004024616,0.0006003604,0.000101300764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013666801,0.00013072338,0.00023027015,0.000010660878,0.00046718374,0.00018594574,0.0003812419,0.0000732948,0.000027946891],"category_scores_gemma":[0.0016740392,0.000034531768,0.000089286434,0.0006694696,0.00045542166,0.00057234813,0.00008633003,0.00023908357,6.807605e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023742215,0.000044262048,0.040277895,0.00001623262,0.000004938391,1.9492215e-7,0.00022802575,0.000029156277,0.95370626,0.00016795717,0.00013865522,0.005362656],"study_design_scores_gemma":[0.000060303933,0.0007430382,0.8588618,0.00007708804,0.000016110947,0.000112307054,0.0007040677,0.0000316211,0.1387479,0.00038473363,0.00017218897,0.00008883077],"about_ca_topic_score_codex":0.00018164069,"about_ca_topic_score_gemma":0.00040942384,"teacher_disagreement_score":0.8185839,"about_ca_system_score_codex":0.00003788938,"about_ca_system_score_gemma":0.000025334237,"threshold_uncertainty_score":0.3593247},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99831605,0.000015166775,0.000016595714,0.0003461989,0.0000618152,0.00008651425,0.0000046541736,0.0000038466446,0.0011491777],"genre_scores_gemma":[0.9996916,0.0000017739079,0.00017399702,0.000086751024,0.00003277366,0.000005349285,0.000002293021,1.3532183e-7,0.0000053415733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996511,0.000007458712,0.00004872829,0.00010379315,0.000060467388,0.0001285027],"domain_scores_gemma":[0.9998038,0.000063173735,0.000021501832,0.000016956668,0.00006359145,0.0000310091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030770682,0.000031491563,0.000024685873,0.0000125564975,0.00035339384,0.00020306013,0.00013799965,0.000014174365,0.0000047520352],"category_scores_gemma":[0.00006568178,0.000010846286,0.0000038570765,0.00023474163,0.00008750697,0.00015627209,0.000011112263,0.000030543317,0.0000011488847],"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":[0.000010350047,0.000021075046,0.6251408,0.000017459406,0.0000011940072,0.0000026547032,0.007916284,0.000046545923,0.13782707,0.006110211,0.00006252277,0.22284387],"study_design_scores_gemma":[0.000011876837,0.000057507183,0.99479073,0.000010527778,9.143948e-7,0.000006408796,0.002365398,0.0006332623,0.000660041,0.0010378436,0.00038721136,0.000038304843],"about_ca_topic_score_codex":0.16192009,"about_ca_topic_score_gemma":0.747648,"teacher_disagreement_score":0.58572793,"about_ca_system_score_codex":0.000012222393,"about_ca_system_score_gemma":0.000041143096,"threshold_uncertainty_score":0.8436608},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989075,0.00010102271,0.00015569599,0.00023350166,0.00015131145,0.00017053485,0.000082180224,0.000008328424,0.00018992709],"genre_scores_gemma":[0.9976251,0.000059780254,0.001948042,0.000021524436,0.00014412349,0.0000028028555,0.000027206983,3.3174507e-7,0.00017106015],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99916846,0.000008466932,0.00012918308,0.0002817208,0.00021400632,0.00019814067],"domain_scores_gemma":[0.99966025,0.00007693416,0.000065358174,0.00009910348,0.00003745656,0.00006086524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006998949,0.000055162345,0.00008462263,0.000012367516,0.00020940288,0.0000560026,0.0006875381,0.000017926006,0.00006247857],"category_scores_gemma":[0.000111310495,0.000021111247,0.000023738161,0.00026310468,0.00015940751,0.000106320476,0.00019044154,0.000026320478,0.000008206461],"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":[0.00017937219,0.00005841114,0.0065357178,0.0000018360162,0.0000025034906,7.053464e-7,0.000024562212,0.00011198529,0.941765,0.000096963566,0.000102126214,0.051120784],"study_design_scores_gemma":[0.017863441,0.0030172619,0.49248728,0.000115967385,0.00012914251,0.00003284965,0.0006329576,0.12671334,0.10355973,0.0012307834,0.25281644,0.0014008001],"about_ca_topic_score_codex":0.00011775141,"about_ca_topic_score_gemma":0.00009483524,"teacher_disagreement_score":0.8382053,"about_ca_system_score_codex":0.0000075331914,"about_ca_system_score_gemma":0.000010756543,"threshold_uncertainty_score":0.16105789},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991033,0.00010425531,0.000005165459,0.00023028633,0.00021862153,0.00016596202,0.000029209476,0.00000949753,0.00013368759],"genre_scores_gemma":[0.9993281,0.00001598863,0.00045186057,0.000005849756,0.00014404672,0.000004604902,0.000030754887,5.870017e-7,0.000018245611],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99930096,0.000049879738,0.0002612042,0.00015203781,0.00013462795,0.000101318976],"domain_scores_gemma":[0.999661,0.00003786562,0.00012388198,0.00004968033,0.000102065045,0.000025470657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001559312,0.00006160541,0.00011680726,0.000015653777,0.0000743696,0.0000027939004,0.000060505812,0.000053345648,0.00010885603],"category_scores_gemma":[0.00010229971,0.00002972068,0.000030064164,0.000265176,0.000034580542,0.00004377086,0.00002036878,0.00005135329,0.0000023985049],"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":[0.000026734018,0.00016749297,0.495634,0.000023610415,0.000005137221,9.4370625e-7,0.00054850895,0.00035575646,0.5023662,0.0000737151,0.00007881487,0.0007191118],"study_design_scores_gemma":[0.000065036744,0.00014280179,0.9941904,0.000015464626,0.000006067863,0.000006537384,0.000080842445,0.00030831437,0.0044204434,0.00067654805,0.000031787666,0.000055766654],"about_ca_topic_score_codex":0.0012082456,"about_ca_topic_score_gemma":0.00075565337,"teacher_disagreement_score":0.4985564,"about_ca_system_score_codex":0.000015935575,"about_ca_system_score_gemma":0.000014630562,"threshold_uncertainty_score":0.18265142},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99794227,0.00017474429,0.000018283657,0.00013549664,0.00012163689,0.000030148687,0.00013436943,0.000010587979,0.0014324855],"genre_scores_gemma":[0.9994478,0.000015652198,0.00031661068,0.000051092014,0.00009254887,4.32219e-7,0.000044498924,1.690835e-7,0.000031176285],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991124,0.00001416292,0.00012231428,0.00020734043,0.0002750694,0.00026866412],"domain_scores_gemma":[0.99955493,0.00007484948,0.000065423315,0.00013694829,0.00005373738,0.00011413815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008544765,0.000053265354,0.00011236712,0.000039015857,0.00018994424,0.000050515268,0.0009609925,0.000014644478,0.00021156107],"category_scores_gemma":[0.00006570739,0.000018719531,0.000030932184,0.0021754785,0.00022295161,0.00022449592,0.00037492297,0.00003320409,0.000017277524],"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":[0.0000013170506,0.000022500593,0.17807749,8.5198235e-7,0.000012382353,1.6008542e-7,0.000048451962,0.00003537019,0.79734284,0.00049504306,0.00008075235,0.02388286],"study_design_scores_gemma":[0.000019786403,0.000024544099,0.98029053,0.0000030186332,0.000058502806,0.0000013510609,0.000056001914,0.004968202,0.0056839217,0.000033191547,0.008779676,0.000081264894],"about_ca_topic_score_codex":0.00029364848,"about_ca_topic_score_gemma":0.00025377204,"teacher_disagreement_score":0.8022131,"about_ca_system_score_codex":0.000005762604,"about_ca_system_score_gemma":0.0000068255645,"threshold_uncertainty_score":0.23164454},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892181,0.009837321,0.00037801196,0.00014831708,0.000029944335,0.00014979897,0.00006444199,0.00001626616,0.00015780846],"genre_scores_gemma":[0.9975869,0.0007952503,0.0013661975,0.000009277267,0.00015495124,0.0000036622744,0.000034477718,0.0000021138458,0.00004718102],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99895644,0.00007263912,0.00027776274,0.00031887385,0.00017432621,0.00019997654],"domain_scores_gemma":[0.99953973,0.00015362057,0.00013974984,0.000040368108,0.00004567823,0.00008083517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019364008,0.00014155832,0.00015796731,0.000027311356,0.00039403327,0.000114816976,0.000047395282,0.00012535475,0.0000065741788],"category_scores_gemma":[0.000031173866,0.00007718568,0.0000184099,0.00011050072,0.000095705305,0.00004516914,0.00004656856,0.00009010647,2.969026e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025239193,0.000021754287,0.35109425,0.00003039556,0.000007925976,8.098607e-7,0.0003923835,0.000097504606,0.63353914,0.00007667536,0.00008287611,0.01463105],"study_design_scores_gemma":[0.00019243194,0.00018560271,0.9928092,0.00005618211,0.000038344435,0.00007002218,0.00027703546,0.003392033,0.00035054714,0.0008602399,0.0016065829,0.00016179681],"about_ca_topic_score_codex":0.0017292305,"about_ca_topic_score_gemma":0.00049282005,"teacher_disagreement_score":0.64171493,"about_ca_system_score_codex":0.0000118949265,"about_ca_system_score_gemma":0.000003479431,"threshold_uncertainty_score":0.31475407},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936048,0.00018737525,0.000012105819,0.0037857485,0.00040369114,0.000069603426,0.0005221234,0.000004816308,0.0014097744],"genre_scores_gemma":[0.99853927,0.000016845195,0.00049545005,0.00067890063,0.00016608757,4.3137112e-7,0.00000991852,6.384968e-7,0.00009244404],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998538,0.000022312981,0.0003202774,0.00023060429,0.00040370956,0.00048505707],"domain_scores_gemma":[0.99824995,0.00009785181,0.0001532485,0.00006579992,0.0003282875,0.0011048925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087118865,0.000116891664,0.00019005929,0.00010284305,0.00058521173,0.00026871837,0.00079975865,0.000038209342,0.00012722993],"category_scores_gemma":[0.00037067363,0.000051244835,0.000072985924,0.00097298186,0.0002498934,0.0002406841,0.000026450358,0.00015199129,0.000016294012],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001857305,0.000014038206,0.011666123,0.0000036663391,0.000006244607,0.00015779624,0.00040459272,0.0007412779,0.98428655,0.000997829,0.0008684419,0.00083485676],"study_design_scores_gemma":[0.0002686138,0.0006551419,0.85555005,0.00028334116,0.000022546998,0.00041580645,0.00210568,0.000013939459,0.034078818,0.0010861941,0.10504729,0.00047256166],"about_ca_topic_score_codex":0.008273832,"about_ca_topic_score_gemma":0.2637919,"teacher_disagreement_score":0.95020777,"about_ca_system_score_codex":0.00016532652,"about_ca_system_score_gemma":0.0005200341,"threshold_uncertainty_score":0.9983302},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980208,0.000010227339,0.000033064745,0.000739326,0.0006427245,0.00009686783,0.000025220583,0.000008401935,0.00042333183],"genre_scores_gemma":[0.99930495,0.0000016234023,0.00027391347,0.000061020713,0.00019216833,0.000006606294,0.000006031402,3.5378739e-7,0.00015333858],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919486,0.0000026693656,0.00011033156,0.00022089429,0.00019973161,0.00027153184],"domain_scores_gemma":[0.99963135,0.00013439675,0.000037984963,0.00003540119,0.000077168595,0.000083685794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030387726,0.000056691464,0.000055186043,0.00001620186,0.0003971575,0.00019798818,0.00038021093,0.000023809753,0.000042341027],"category_scores_gemma":[0.00016957581,0.000025588535,0.000015206403,0.00040991371,0.00011080271,0.00011988111,0.00006174112,0.00008012725,0.000003877447],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.402425e-7,0.000007825301,0.045579173,0.0000020341797,2.010169e-7,7.652237e-7,0.000030150339,0.000008432919,0.94555706,0.00017594657,0.000099356344,0.008538401],"study_design_scores_gemma":[0.00013823304,0.000057663074,0.89639187,0.000036349345,0.0000046686955,0.000018717621,0.0005708881,0.009586035,0.08189548,0.00053878187,0.010470004,0.00029133447],"about_ca_topic_score_codex":0.12317364,"about_ca_topic_score_gemma":0.83794856,"teacher_disagreement_score":0.8636616,"about_ca_system_score_codex":0.00001968794,"about_ca_system_score_gemma":0.000094767776,"threshold_uncertainty_score":0.8826652},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978396,0.00029820696,0.0010023053,0.00018568197,0.000027594164,0.00017387107,0.00042081685,0.0000017833914,0.000050111717],"genre_scores_gemma":[0.9983724,0.00021087665,0.0009116766,0.000019426105,0.00018190585,0.0000025253592,0.0002902443,5.244083e-7,0.000010448647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935645,0.000025844984,0.00024127842,0.00017722657,0.000104214785,0.000094960866],"domain_scores_gemma":[0.99948084,0.0001304124,0.00019364293,0.00012734004,0.00001675398,0.000051030787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049654854,0.000056796645,0.00016417803,0.000023203787,0.000067998735,0.000019082128,0.00040599442,0.000032860666,0.00008159909],"category_scores_gemma":[0.000014746709,0.00002317434,0.00004511055,0.00014820042,0.000038500668,0.00007059141,0.0001280946,0.000046690562,4.0061062e-7],"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":[0.0021052898,0.00038437755,0.49987113,0.0000088663855,0.0010118461,8.601331e-7,0.0001034286,0.00047038798,0.07551276,0.00026306405,0.00060176913,0.4196662],"study_design_scores_gemma":[0.010761711,0.0010737898,0.6424409,0.00003325355,0.0023057056,0.00003703822,0.00043104225,0.08442819,0.00090961746,0.0011391669,0.2559973,0.00044225165],"about_ca_topic_score_codex":0.00011503825,"about_ca_topic_score_gemma":0.0002838896,"teacher_disagreement_score":0.41922396,"about_ca_system_score_codex":0.0000030029782,"about_ca_system_score_gemma":0.0000034630943,"threshold_uncertainty_score":0.09450222},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993464,0.00005900404,0.0000012132135,0.00007356646,0.00005907927,0.00008134651,0.000029789564,0.0000019029437,0.00034773632],"genre_scores_gemma":[0.9997069,0.00003969062,0.000054338034,0.00003130444,0.000016505504,8.3057625e-7,0.000006781129,3.8025607e-7,0.00014325925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994489,0.00003540194,0.00017797979,0.000075563104,0.00012588894,0.00013629648],"domain_scores_gemma":[0.99915636,0.00068478414,0.00007360141,0.000032965112,0.000033888322,0.000018375868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058269023,0.000045547924,0.00006649373,0.000005721457,0.000054711967,0.000016604017,0.0001341232,0.000027172635,0.000019933754],"category_scores_gemma":[0.000105654784,0.000013152282,0.000019503568,0.00021626202,0.000060445705,0.000024388135,0.000050423776,0.00005844684,0.0000020595485],"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":[0.000057570094,0.00004890215,0.8431471,0.0000027662447,0.000023388946,0.0000014250191,0.0003974721,0.000012178895,0.09289201,0.00025638248,0.0006996061,0.06246122],"study_design_scores_gemma":[0.000051339775,0.000050384446,0.98800623,0.000012146354,0.000001447807,1.9061854e-7,0.00004978585,0.000018777202,0.0016457553,0.000047409234,0.010081653,0.000034887526],"about_ca_topic_score_codex":0.000806188,"about_ca_topic_score_gemma":0.007925292,"teacher_disagreement_score":0.14485915,"about_ca_system_score_codex":0.0000055350997,"about_ca_system_score_gemma":0.000005793349,"threshold_uncertainty_score":0.44224986},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995696,0.000025572685,1.11850966e-7,0.00044995156,0.00040811906,0.000032096512,0.000018081231,0.00001473066,0.0033553417],"genre_scores_gemma":[0.9993716,0.0000075301027,0.000071350776,0.0000880255,0.00038018447,0.0000028315587,0.000015651345,2.114082e-7,0.000062643994],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99964863,0.0000066777197,0.00006467059,0.000094936484,0.00006185046,0.00012324951],"domain_scores_gemma":[0.99987566,0.00004324721,0.000012305021,0.00001942658,0.000008653724,0.000040726114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000801023,0.000042186017,0.00004682194,0.000004137858,0.00003318522,0.000025725818,0.00008987807,0.000051777755,0.0008855305],"category_scores_gemma":[0.00001412301,0.00001474717,0.000019911517,0.00008030404,0.0000094759625,0.000023644425,0.000019522206,0.000099915116,0.000069708156],"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":[0.0000021978656,0.000017697681,0.14433753,8.758028e-7,9.274113e-7,0.0000044749,0.00002134737,7.1719717e-7,0.822804,0.00012374877,0.002250489,0.030436017],"study_design_scores_gemma":[0.000046789704,0.000042181822,0.955021,0.0000044312533,0.0000010552393,0.0000070022115,0.00004914489,0.000050124043,0.0047410545,0.00041175404,0.039545935,0.00007949088],"about_ca_topic_score_codex":0.00020886638,"about_ca_topic_score_gemma":0.003591071,"teacher_disagreement_score":0.8180629,"about_ca_system_score_codex":0.0000016941248,"about_ca_system_score_gemma":0.0000012883698,"threshold_uncertainty_score":0.9695938},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99869776,0.000011972716,0.000002745422,0.0009619788,0.000047716865,0.00005831051,0.000012490271,0.0000077703635,0.00019924079],"genre_scores_gemma":[0.9993164,0.0000038098576,0.00028436515,0.00036398956,0.000016679689,4.2299197e-7,7.248481e-7,1.1957242e-7,0.000013511402],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992555,0.000027073345,0.00011742001,0.00019046785,0.00019879424,0.00021075289],"domain_scores_gemma":[0.9996181,0.00018351019,0.000031659456,0.00004049869,0.000035848992,0.000090387955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011559087,0.000052059513,0.00008455473,0.000030077097,0.000117776544,0.000050890674,0.00027624995,0.00002508943,0.000018927736],"category_scores_gemma":[0.0003738052,0.000021346652,0.00001816705,0.0006438888,0.00006909143,0.000056917663,0.00005482994,0.00004122832,0.0000059790364],"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":[0.000083652114,0.000013901858,0.032428212,3.8279651e-7,1.2239258e-7,0.0000025471054,0.000082169965,0.000014118587,0.9623837,0.000023469065,0.000027605613,0.0049401275],"study_design_scores_gemma":[0.000018698081,0.00016622308,0.82620436,0.00002936772,4.9664436e-7,0.0000083408295,0.000044137876,0.000054239754,0.1732311,0.00006211273,0.00012776499,0.000053153373],"about_ca_topic_score_codex":0.0004798803,"about_ca_topic_score_gemma":0.0002823195,"teacher_disagreement_score":0.79377615,"about_ca_system_score_codex":0.000016105241,"about_ca_system_score_gemma":0.00001217009,"threshold_uncertainty_score":0.09058539},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989696,0.00018433112,0.000006727231,0.00014009567,0.000040334315,0.000039554998,0.000012039114,0.0000070765836,0.00060021493],"genre_scores_gemma":[0.99874306,0.000026541426,0.001065173,0.000035286914,0.00010260323,3.7765156e-7,7.021368e-7,2.5916313e-7,0.00002601319],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99937105,0.000008033294,0.00011988738,0.00019276926,0.00013254106,0.00017571676],"domain_scores_gemma":[0.9997575,0.000047702597,0.000057614845,0.000024315621,0.000033585373,0.00007927254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020741353,0.000067253044,0.00009921482,0.00001945692,0.00019659888,0.00006569989,0.0002087124,0.000022363225,0.00005092788],"category_scores_gemma":[0.0000309374,0.000024253404,0.00002620502,0.00035430148,0.00025527,0.00012451292,0.00006747157,0.00003156182,0.0000031393931],"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":[0.0000020993,0.000008266339,0.0078476975,0.0000012933543,0.0000010497367,2.6753636e-7,0.00004460593,0.00020930605,0.9665351,0.000030865584,0.000004593895,0.025314873],"study_design_scores_gemma":[0.000051322833,0.000037458252,0.97190124,0.000008006649,0.0000053514045,0.000013387885,0.000045168348,0.005379421,0.022087952,0.00009502668,0.0002815161,0.00009412859],"about_ca_topic_score_codex":0.0001875823,"about_ca_topic_score_gemma":0.00014170405,"teacher_disagreement_score":0.9640536,"about_ca_system_score_codex":0.000009018231,"about_ca_system_score_gemma":0.000013181638,"threshold_uncertainty_score":0.15120995},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95718724,0.0017149199,0.0000021335263,0.00035184025,0.00003217822,0.0000500861,0.040336207,0.0000175428,0.00030783153],"genre_scores_gemma":[0.9931024,0.0004636181,0.000014091487,0.00008609855,0.00004701736,0.0000014387015,0.006143066,3.3748086e-7,0.00014197723],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99936503,0.000019841618,0.000119947515,0.00020755542,0.00015355831,0.000134085],"domain_scores_gemma":[0.99959266,0.00008461603,0.000049276943,0.00010475674,0.000014269766,0.00015438929],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007373015,0.00006809334,0.00012504823,0.000016535445,0.000052231244,0.000021350706,0.00034957175,0.000021919572,0.0010753206],"category_scores_gemma":[0.000028778906,0.000025840944,0.000056942128,0.00035719437,0.000014752169,0.000038169583,0.00009094089,0.000026175587,0.000022747146],"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":[0.00006490928,0.00044873962,0.42838383,0.000020085863,0.00048017385,0.0000542742,0.000065872366,0.00005085157,0.47519764,0.000079440084,0.058732226,0.03642195],"study_design_scores_gemma":[0.00009242577,0.00006146665,0.8204895,0.000014324132,0.0010191515,0.0000014000102,0.00004764405,0.046073195,0.00035217297,0.000027916984,0.1315516,0.00026916788],"about_ca_topic_score_codex":0.00009181007,"about_ca_topic_score_gemma":0.00012890101,"teacher_disagreement_score":0.47484547,"about_ca_system_score_codex":0.000002066503,"about_ca_system_score_gemma":0.0000012519037,"threshold_uncertainty_score":0.9998378},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998213,0.00014853048,0.0000023264727,0.0012902259,0.000046307305,0.000053163112,0.000013715332,0.0000012028195,0.00023155683],"genre_scores_gemma":[0.99971896,0.000017618571,0.000097869546,0.00009242011,0.000058970956,1.8039461e-7,8.0984546e-7,9.899613e-8,0.000013085004],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99950284,0.000011351572,0.00011736261,0.00007804237,0.000107631524,0.00018275516],"domain_scores_gemma":[0.9996628,0.00001135617,0.00005769196,0.000005809596,0.000048089878,0.00021424744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003423949,0.000038655904,0.000057546946,0.000029515666,0.000141231,0.00009085164,0.00010915978,0.00002257708,0.000015097332],"category_scores_gemma":[0.000040254312,0.00001719206,0.000008102569,0.0003160263,0.00005376106,0.00017036615,0.0000018121613,0.00007501185,5.552459e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004422074,0.0000025694685,0.024493698,5.945587e-7,2.4372082e-7,0.00001766769,0.00008538758,0.00001493469,0.96403044,0.0003362992,0.00006152613,0.010952217],"study_design_scores_gemma":[0.0000746184,0.00029720497,0.9850696,0.00007343789,0.0000011286348,0.0002581653,0.00011182104,0.000529403,0.010721906,0.0005653402,0.0022214586,0.000075923665],"about_ca_topic_score_codex":0.0012775486,"about_ca_topic_score_gemma":0.05338576,"teacher_disagreement_score":0.9605759,"about_ca_system_score_codex":0.00003841543,"about_ca_system_score_gemma":0.00011760135,"threshold_uncertainty_score":0.96388745},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99868226,0.00059307314,0.00034924195,0.00018422455,0.000018395947,0.000035601453,0.0000022287138,3.9798422e-7,0.00013457629],"genre_scores_gemma":[0.9997032,0.000089950285,0.00016797724,0.0000055887217,0.000019674288,4.6451564e-7,8.646217e-7,1.1535357e-7,0.000012164861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943644,0.000026556401,0.00015903708,0.00007126349,0.0002464442,0.000060286788],"domain_scores_gemma":[0.9997269,0.000041366788,0.00013599961,0.000016223972,0.00005662122,0.000022924125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011615817,0.00003605884,0.00006754046,0.000029049985,0.0001170448,0.000041762443,0.00006867521,0.000009867754,0.000017917586],"category_scores_gemma":[0.000012437624,0.000012439948,0.000021796355,0.00022721537,0.00007383361,0.00015501982,0.000020801079,0.000050233644,1.3315518e-7],"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":[0.000013508637,0.00005122236,0.39923337,0.0000012651537,0.000016420674,2.6758357e-7,0.00027048527,0.14842767,0.3904265,0.00007270736,0.000021771864,0.06146482],"study_design_scores_gemma":[0.000058260935,0.000029662142,0.81808466,0.000005799596,0.000057875055,0.0000039616843,0.00010519049,0.18072891,0.0004610881,0.00038301747,0.000053250267,0.000028313909],"about_ca_topic_score_codex":0.00028722745,"about_ca_topic_score_gemma":0.0004656779,"teacher_disagreement_score":0.4188513,"about_ca_system_score_codex":0.000021620159,"about_ca_system_score_gemma":0.000009978072,"threshold_uncertainty_score":0.09002258},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916106,0.000039342198,2.9571837e-7,0.0005835369,0.0006979513,0.000049254468,0.000016485114,0.00003514145,0.006967431],"genre_scores_gemma":[0.99893075,0.000008942706,0.00013508489,0.00008099266,0.0007301487,0.000003278214,0.000017757322,4.5996444e-7,0.00009259324],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994459,0.000008042731,0.000105300474,0.00014079106,0.0001033748,0.00019658075],"domain_scores_gemma":[0.9997975,0.00007782964,0.000022881984,0.000025575753,0.000015116802,0.00006109938],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016047207,0.0000670683,0.00007229363,0.000010526407,0.000058750473,0.000040214378,0.00013933112,0.00008443385,0.0009950817],"category_scores_gemma":[0.000033875676,0.00002572242,0.000027667693,0.0001747793,0.000016363027,0.000045321223,0.00003039824,0.00020173436,0.00006230104],"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":[0.0000031470101,0.00002304928,0.08021718,0.0000017530143,0.0000016459653,0.000011116684,0.00004539763,0.0000016914975,0.8676382,0.00044935354,0.0017572255,0.04985024],"study_design_scores_gemma":[0.00009036166,0.00007305505,0.9414495,0.000011575482,0.0000021872718,0.000022940521,0.0001591015,0.00022125868,0.0046644453,0.0010291358,0.052120894,0.00015552138],"about_ca_topic_score_codex":0.00022558555,"about_ca_topic_score_gemma":0.0024671867,"teacher_disagreement_score":0.86297375,"about_ca_system_score_codex":0.0000039436213,"about_ca_system_score_gemma":0.0000034366678,"threshold_uncertainty_score":0.99991816},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974447,0.000008774365,0.000046173194,0.00037999483,0.00012809085,0.00006236845,0.000007832058,0.000044911903,0.0018771447],"genre_scores_gemma":[0.9990667,0.0000053270464,0.0003474224,0.00025006974,0.00018941093,0.0000022019476,0.000003361217,3.6103413e-7,0.00013511506],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990894,0.000009178523,0.00008745141,0.00025927927,0.00030101385,0.00025368016],"domain_scores_gemma":[0.9996531,0.00011942534,0.000033807908,0.000020783924,0.00007320899,0.00009967314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024402354,0.000072281764,0.00006197536,0.000022533128,0.00077226234,0.000058955753,0.00023525162,0.000031607793,0.000092326525],"category_scores_gemma":[0.00015000167,0.000027890019,0.000028527857,0.0007413216,0.00015524935,0.0000835186,0.000021857433,0.000072486204,0.000029495619],"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":[0.000006763483,0.000024450153,0.017970657,6.918616e-7,2.594664e-7,0.0000019055232,0.000026465214,0.0008361886,0.9663936,0.00002455288,0.00014322791,0.014571262],"study_design_scores_gemma":[0.00011776376,0.0005254682,0.7873482,0.000016985849,0.0000017053526,0.000028654056,0.000026551483,0.10480412,0.10258224,0.000027512908,0.004350737,0.00017002251],"about_ca_topic_score_codex":0.000074437165,"about_ca_topic_score_gemma":0.00007959544,"teacher_disagreement_score":0.8638113,"about_ca_system_score_codex":0.00001874129,"about_ca_system_score_gemma":0.000020359965,"threshold_uncertainty_score":0.5939696},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989311,0.0004899621,0.000043442393,0.00019825803,0.00005192036,0.00006565111,0.000002703509,5.7552694e-7,0.00021640483],"genre_scores_gemma":[0.9994801,0.000022187727,0.00038938856,0.000024881756,0.00007141767,6.356082e-7,1.3944873e-7,1.5566127e-7,0.000011066591],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99942905,0.0000182347,0.00015637012,0.000085399275,0.00021671595,0.00009420481],"domain_scores_gemma":[0.9995161,0.00008239263,0.00013573754,0.0000139921385,0.00020351232,0.00004826563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022151498,0.00003906597,0.000092075396,0.000019925752,0.00008010451,0.00004593582,0.00010141464,0.000020861962,0.000013331701],"category_scores_gemma":[0.00011240438,0.000015888285,0.000017013883,0.00011670349,0.00010122928,0.00011101744,0.000018029796,0.000036571586,1.906344e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038475246,0.000029920146,0.08686999,0.000013241293,0.000004712751,2.3438548e-7,0.00066014176,0.0005353183,0.74497616,0.00060075254,0.00005149379,0.16621958],"study_design_scores_gemma":[0.00031380725,0.00048701192,0.9701444,0.0000954599,0.000024173856,0.000012232236,0.0003833652,0.005467484,0.020477375,0.0011585731,0.001342356,0.00009377208],"about_ca_topic_score_codex":0.00002077576,"about_ca_topic_score_gemma":0.000085168525,"teacher_disagreement_score":0.8832744,"about_ca_system_score_codex":0.000007200414,"about_ca_system_score_gemma":0.00002454843,"threshold_uncertainty_score":0.076773115},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961703,0.00031004753,0.0000043605414,0.002171312,0.000033266213,0.000037620208,0.000009363256,4.558837e-7,0.0012632855],"genre_scores_gemma":[0.9997002,0.000029276394,0.00011740701,0.00006724785,0.000065362794,3.1702132e-7,0.000001035161,8.972169e-8,0.000019056402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991336,0.0000735119,0.00035455002,0.00007688168,0.00020835029,0.00015309581],"domain_scores_gemma":[0.99925727,0.00031438394,0.00025328842,0.000022007063,0.000092938906,0.00006014117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003930808,0.000046786234,0.00023090317,0.000098580065,0.0002208572,0.0001379104,0.00027388646,0.000026364572,0.000033930923],"category_scores_gemma":[0.00015174094,0.0000137210345,0.00008634658,0.0009658265,0.00018766335,0.00012862234,0.000014629627,0.00007038065,2.3982955e-7],"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":[0.000031436677,0.00006657485,0.87403655,0.0000040499776,0.000062060615,0.000014977778,0.0009569817,0.0008305245,0.0909405,0.003992953,0.0012441404,0.02781923],"study_design_scores_gemma":[0.0000449094,0.00007714599,0.99476254,0.0000108052145,0.000054892378,0.00001064955,0.00057838723,0.000069161535,0.0009594292,0.00033612992,0.0030553306,0.000040644452],"about_ca_topic_score_codex":0.065312795,"about_ca_topic_score_gemma":0.34821334,"teacher_disagreement_score":0.28290054,"about_ca_system_score_codex":0.000013988449,"about_ca_system_score_gemma":0.00006561448,"threshold_uncertainty_score":0.94091135},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945627,0.0022699153,0.00021821824,0.0004049377,0.00019133603,0.0003852238,0.00021978485,0.000050505572,0.0016973747],"genre_scores_gemma":[0.99572444,0.00020400542,0.002745895,0.00054297526,0.00021735633,0.00003485926,0.00015319047,0.0000028345098,0.00037445108],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884015,0.000041875723,0.00021253215,0.00032053306,0.00015522745,0.00042966893],"domain_scores_gemma":[0.9995556,0.00012623185,0.000052501633,0.00006924795,0.000058444046,0.00013797305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018794661,0.00016590842,0.00018177417,0.000015022162,0.00017383901,0.000087909015,0.00022728332,0.0001103682,0.00013450006],"category_scores_gemma":[0.000053235653,0.000076086966,0.00013209351,0.00019219353,0.000028090019,0.000027053085,0.000023511757,0.00008054909,0.000039123068],"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":[0.00000609605,0.000039220886,0.00046253545,0.000013917923,0.000015349025,0.000010628075,0.000027089114,0.00004461066,0.99352956,0.00089792884,0.00008267572,0.0048703826],"study_design_scores_gemma":[0.00064180244,0.00080748025,0.07669731,0.00002071837,0.000074857555,0.00006653621,0.00021755738,0.00005438205,0.04071998,0.007380411,0.8725477,0.0007712644],"about_ca_topic_score_codex":0.000025536632,"about_ca_topic_score_gemma":0.000030809624,"teacher_disagreement_score":0.9528096,"about_ca_system_score_codex":0.000011228653,"about_ca_system_score_gemma":0.000007877178,"threshold_uncertainty_score":0.31027365},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992277,0.00033441844,0.00009989657,0.000048871152,0.00014637501,0.000037851918,0.00005591654,3.5056075e-7,0.000048630005],"genre_scores_gemma":[0.9978521,0.000060001283,0.0020361675,0.000014330618,0.000031343956,1.192882e-7,0.000002567657,3.448815e-7,0.0000030180147],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99915254,0.000051220697,0.00029167556,0.00009215776,0.0001745789,0.00023785487],"domain_scores_gemma":[0.9992248,0.00015989701,0.00024779912,0.000029336665,0.00003543417,0.000302748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015086167,0.00006160987,0.00021237445,0.0004238921,0.00008447952,0.000023581124,0.00018014746,0.00003330985,0.000059528033],"category_scores_gemma":[0.00009086064,0.000029100722,0.000048661528,0.0012702933,0.000120997785,0.0001575863,0.000016801907,0.0000835275,2.6815707e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010967154,0.000011341712,0.348005,0.0000030597005,0.00002059798,0.000003125848,0.00041272232,0.00095769664,0.64328706,0.000009527903,0.000003425137,0.007275495],"study_design_scores_gemma":[0.000061194834,0.0001368356,0.97981817,0.00003269512,0.00008485309,0.000049711853,0.00058110524,0.006559312,0.012225375,0.000013912018,0.00036081846,0.00007602275],"about_ca_topic_score_codex":0.0069229538,"about_ca_topic_score_gemma":0.010418236,"teacher_disagreement_score":0.63181317,"about_ca_system_score_codex":0.000065468594,"about_ca_system_score_gemma":0.00005238742,"threshold_uncertainty_score":0.99969006},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966948,0.00017897869,0.031212544,0.00012404358,0.000060321236,0.0004122252,0.000026129745,0.000020716829,0.0010170775],"genre_scores_gemma":[0.9779239,0.000014006172,0.02179245,0.000031770356,0.00016761362,0.000042631884,0.000015353766,6.9230043e-7,0.000011540574],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993209,0.00003554054,0.0002670659,0.00014647245,0.00012721833,0.00010280297],"domain_scores_gemma":[0.9995868,0.00009271374,0.00013677235,0.00004990762,0.00008536117,0.000048422506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025776523,0.00006949986,0.00015912518,0.000026180467,0.000075268035,0.000009329186,0.00010645152,0.000055422523,0.00004885942],"category_scores_gemma":[0.000022555518,0.000032058062,0.00005425388,0.00038238373,0.000011478698,0.000038541442,0.000029655339,0.0000630847,0.000010748317],"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":[0.000012668733,0.000029163926,0.0010298305,0.000003601992,0.0000022570066,2.3355492e-8,0.000036290086,0.00043221065,0.58207273,0.000034399247,0.000022947565,0.41632384],"study_design_scores_gemma":[0.000053909924,0.00016783888,0.04843356,0.000027190534,0.000008197958,0.0000012311014,0.000082940525,0.000782554,0.9211267,0.0005716887,0.028655889,0.000088301575],"about_ca_topic_score_codex":0.000113837545,"about_ca_topic_score_gemma":0.0003071495,"teacher_disagreement_score":0.41623554,"about_ca_system_score_codex":0.000013304875,"about_ca_system_score_gemma":0.0000027685596,"threshold_uncertainty_score":0.13072899},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987561,0.000037560836,0.000034541903,0.00027825992,0.000019831197,0.000042538795,0.0000043505897,0.000008243693,0.0008185756],"genre_scores_gemma":[0.9997049,0.000020850992,0.00015772702,0.000043558084,0.000019444964,6.575416e-7,0.000005409617,9.662637e-8,0.00004736359],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99942374,0.000004357448,0.000080078804,0.00016645712,0.00021015957,0.00011519436],"domain_scores_gemma":[0.9998174,0.000011459992,0.000057688052,0.000029958666,0.000038573784,0.00004492362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014287117,0.000044674714,0.00007237333,0.000030795385,0.00013613475,0.000036850015,0.00014854362,0.000013958489,0.00011369591],"category_scores_gemma":[0.0000068776385,0.000015239088,0.00002322907,0.0010043436,0.00009930043,0.00007818386,0.000015165088,0.000027663908,0.0000057287757],"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":[0.000011658803,0.000028854374,0.008897609,5.2045124e-7,0.000008055067,5.095584e-7,0.00008288332,0.0009816824,0.9601597,0.00011937691,0.000007728099,0.029701428],"study_design_scores_gemma":[0.000023802717,0.0003258952,0.9661325,0.000005012711,0.000048184498,0.0000026426906,0.00010515878,0.0027433934,0.028659863,0.000038350237,0.0018469399,0.00006821467],"about_ca_topic_score_codex":0.000035618028,"about_ca_topic_score_gemma":0.000056214143,"teacher_disagreement_score":0.9572349,"about_ca_system_score_codex":0.000015342099,"about_ca_system_score_gemma":0.0000064760266,"threshold_uncertainty_score":0.12448905},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999395,0.00018027167,0.000041595507,0.00020587332,0.000025427327,0.00010650497,0.000002820683,0.0000013816302,0.00004109932],"genre_scores_gemma":[0.9992704,0.00013889029,0.00052862376,0.00002867822,0.000025114348,0.0000018945329,6.9652776e-7,3.572037e-7,0.000005373451],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992411,0.000020149582,0.00026930336,0.00012536066,0.00022822671,0.000115852345],"domain_scores_gemma":[0.9996262,0.0000622577,0.00022520346,0.00001800257,0.000014017177,0.000054291133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000370616,0.0000677534,0.00012278606,0.000030884035,0.00010106578,0.00006997036,0.000103718165,0.000036056445,0.000017121583],"category_scores_gemma":[0.000007257267,0.000029764118,0.000019123145,0.00011538449,0.00014540537,0.00028185794,0.000037790964,0.000064190775,4.2849658e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063171374,0.000014147051,0.17120038,0.0000061354217,0.0000020342711,2.4372466e-7,0.00015097654,0.0002673655,0.7933742,0.000028983808,0.0000030641827,0.03494615],"study_design_scores_gemma":[0.00009025227,0.00017432307,0.98858124,0.000058685735,0.0000051764086,0.000006069658,0.00024661227,0.0030903697,0.00742595,0.00025719588,0.0000066317584,0.000057512258],"about_ca_topic_score_codex":0.0007553446,"about_ca_topic_score_gemma":0.00024150974,"teacher_disagreement_score":0.81738085,"about_ca_system_score_codex":0.0000132475325,"about_ca_system_score_gemma":0.0000037154082,"threshold_uncertainty_score":0.12137455},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565816,0.00081055064,0.000027754297,0.0013845136,0.000078542405,0.000087168344,0.0003725447,0.000013080548,0.0015676613],"genre_scores_gemma":[0.9992035,0.00023169258,0.00013142952,0.00007198924,0.00007175476,0.0000024826115,0.00014391553,5.8956164e-7,0.00014263857],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992394,0.000016962425,0.00020180541,0.00018733011,0.00014731407,0.00020717646],"domain_scores_gemma":[0.9997597,0.000102594786,0.00004816562,0.000033841596,0.000008588505,0.00004712459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009412917,0.000097418604,0.00013301043,0.0000142066465,0.00007618501,0.00002233599,0.00014091225,0.000041327046,0.00013305525],"category_scores_gemma":[0.000010587329,0.00004659306,0.00003282032,0.0001097199,0.000014364409,0.000059609243,0.000022150614,0.00010385279,0.0000069508737],"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":[0.000041501506,0.00012974045,0.033638865,0.000007040809,0.0000047830567,0.000004295015,0.00016944882,0.000095960524,0.9533686,0.0001637266,0.0023166228,0.010059388],"study_design_scores_gemma":[0.0004793868,0.0005139484,0.80164,0.0004015592,0.000029116381,0.000021875358,0.0013012588,0.0013036287,0.057742313,0.0007204546,0.13510002,0.0007464895],"about_ca_topic_score_codex":0.00049668783,"about_ca_topic_score_gemma":0.0021700012,"teacher_disagreement_score":0.8956263,"about_ca_system_score_codex":0.000019715284,"about_ca_system_score_gemma":0.0000013918317,"threshold_uncertainty_score":0.19000098},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99172133,0.000030973875,0.004996507,0.00068688905,0.00007386177,0.0007479892,0.0011110094,0.000024355902,0.0006070692],"genre_scores_gemma":[0.98997754,0.00002314511,0.008085574,0.00005336342,0.00009886549,0.0000030055864,0.0006880347,0.0000024943593,0.0010679835],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826473,0.0001367786,0.00019532452,0.00066031195,0.00033201915,0.00041084512],"domain_scores_gemma":[0.9987515,0.00023875758,0.000115046576,0.0001588138,0.0005540643,0.00018179255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090036396,0.00021880797,0.00035672876,0.000106982196,0.0003233569,0.00006786061,0.0008168533,0.00031503983,0.00013974604],"category_scores_gemma":[0.000056727087,0.00013880369,0.00013674283,0.00043108198,0.00006631357,0.00010860066,0.00052759814,0.00030984596,0.000010167499],"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":[0.0094335815,0.0013057076,0.013013989,0.00042534253,0.00024636582,0.00005698345,0.0072761495,0.0673274,0.80348337,0.00021585826,0.0083599845,0.0888553],"study_design_scores_gemma":[0.0024170794,0.005063962,0.35930762,0.0007048213,0.00019312868,0.000015032097,0.019393263,0.5745594,0.010897425,0.0009634023,0.023227904,0.0032569799],"about_ca_topic_score_codex":0.004126712,"about_ca_topic_score_gemma":0.00094834034,"teacher_disagreement_score":0.7925859,"about_ca_system_score_codex":0.000052394593,"about_ca_system_score_gemma":0.00004940794,"threshold_uncertainty_score":0.6238382},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980716,0.00038521463,0.00008538647,0.00013016893,0.00005153713,0.00008266581,0.0011017264,9.753562e-7,0.000090723915],"genre_scores_gemma":[0.99939257,0.00006501222,0.00034760498,0.000011928604,0.00010516966,6.7418443e-7,0.000052490963,1.9543594e-7,0.000024350886],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993149,0.000011114151,0.00022203279,0.00013215825,0.0001723772,0.000147411],"domain_scores_gemma":[0.9994613,0.00006034166,0.00017641077,0.00005607301,0.000035123667,0.00021075527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058857905,0.000045822224,0.00012180504,0.00010020204,0.00018086474,0.000058329264,0.00045155705,0.000020235178,0.000029992036],"category_scores_gemma":[0.000024159393,0.00001930486,0.000027414326,0.0004905506,0.00018487987,0.00009095475,0.00003063271,0.00004516422,6.8144675e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002457975,0.00019900789,0.45624816,0.000012222025,0.00020631254,0.000057492096,0.00020290908,0.009637405,0.480646,0.00432712,0.00073597097,0.047481578],"study_design_scores_gemma":[0.0007566531,0.00017808937,0.9085773,0.0000125787465,0.00019171159,0.00003948202,0.00015213268,0.006783577,0.0005898467,0.00006686167,0.08251986,0.00013186113],"about_ca_topic_score_codex":0.005035211,"about_ca_topic_score_gemma":0.06200344,"teacher_disagreement_score":0.48005617,"about_ca_system_score_codex":0.000017372759,"about_ca_system_score_gemma":0.000087718254,"threshold_uncertainty_score":0.9551126},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3852089,0.613749,1.8057132e-7,0.00014591687,0.00006069218,0.0004278079,0.0002948656,0.0000061588416,0.00010644071],"genre_scores_gemma":[0.06767533,0.93124276,0.00023521198,0.000045088436,0.0001433681,0.00003441461,0.000047675145,0.000004301152,0.000571874],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99856365,0.0001241685,0.00032226203,0.00055702246,0.0001452377,0.00028768793],"domain_scores_gemma":[0.9995178,0.00014993489,0.00013618704,0.000064144944,0.00002144774,0.00011050472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030164732,0.00027439315,0.0007140538,0.000026419351,0.0000525561,0.000037700367,0.00013314789,0.0001689617,0.000031149895],"category_scores_gemma":[0.000046545145,0.00012731124,0.000056503297,0.00026555755,0.000040512987,0.00002320791,0.00013737174,0.00013528248,0.000003738801],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000141234505,0.00006577081,0.0017130021,0.0030256242,0.000054537697,0.00006588698,0.00009706565,0.0000015631321,0.045534603,0.000093074836,0.00013514928,0.9491996],"study_design_scores_gemma":[0.00011299057,0.0001257907,0.16921858,0.0010011768,0.00008342172,0.000092888666,0.000009772002,0.0000014098425,0.000046246274,0.0004600948,0.8283252,0.00052240706],"about_ca_topic_score_codex":0.00017320347,"about_ca_topic_score_gemma":0.00026450682,"teacher_disagreement_score":0.9486772,"about_ca_system_score_codex":0.000012603082,"about_ca_system_score_gemma":0.000008179434,"threshold_uncertainty_score":0.51916015},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992625,0.0061234734,0.0001901478,0.0004514062,0.00008180438,0.0003121614,0.00010847209,0.000011088899,0.00009642211],"genre_scores_gemma":[0.9964232,0.0021022076,0.0011150995,0.00011516473,0.000093607574,0.000010203392,0.00007458218,0.000003934434,0.00006203225],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989236,0.0000436222,0.00034262182,0.00030039565,0.00010268724,0.00028704654],"domain_scores_gemma":[0.9992159,0.0004552509,0.00010022708,0.000041244253,0.00005654765,0.00013085148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004406587,0.00017853863,0.00027862407,0.0000455678,0.00013441603,0.00005776716,0.00009253309,0.00018597518,0.000006019448],"category_scores_gemma":[0.00008124951,0.00010640769,0.000036771762,0.00013092547,0.00005781682,0.00003483888,0.000053075823,0.00008084279,6.1381814e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044639808,0.000040413455,0.0003927592,0.00010405021,0.000016912416,7.8112134e-7,0.00018506093,0.0013043289,0.92865384,0.0009941597,0.000030814375,0.068232246],"study_design_scores_gemma":[0.0031692553,0.0025794555,0.69052374,0.00019082018,0.0002344629,0.00007308952,0.000106549785,0.24044812,0.049587443,0.009512242,0.0026509943,0.00092385244],"about_ca_topic_score_codex":0.00001423424,"about_ca_topic_score_gemma":0.0003557704,"teacher_disagreement_score":0.8790664,"about_ca_system_score_codex":0.000008398551,"about_ca_system_score_gemma":0.00000876476,"threshold_uncertainty_score":0.43391797},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983322,0.00013141353,0.00054533087,0.00011852273,0.0007186527,0.00009203119,0.0000047431195,0.00000684038,0.000050253857],"genre_scores_gemma":[0.98330885,0.000025164065,0.015926043,0.000026994803,0.00070526236,3.6327376e-7,5.848675e-7,6.351577e-7,0.000006089379],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982436,0.00008824131,0.00048481824,0.00017851213,0.00065794983,0.00034689673],"domain_scores_gemma":[0.9985771,0.00030926778,0.0005182873,0.00003653139,0.00037281658,0.00018598823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000874748,0.00014073064,0.00026477818,0.0000360099,0.00026680322,0.00010833596,0.00053666555,0.00006193188,0.000018254232],"category_scores_gemma":[0.00028939475,0.00004560519,0.00011427861,0.00052639336,0.00016362488,0.0003843481,0.000067581605,0.00013867217,0.0000022590266],"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":[0.0000106293555,0.000020021092,0.0028297717,0.00000474277,0.0000053381914,0.0000013854111,0.00008146372,0.0036307771,0.98850775,0.000049846967,0.000030610132,0.004827645],"study_design_scores_gemma":[0.00019193444,0.00092719594,0.8453251,0.00012749959,0.000044848148,0.00025268007,0.00033499647,0.0015335886,0.1502962,0.0006282173,0.000079480174,0.00025824795],"about_ca_topic_score_codex":0.0001081869,"about_ca_topic_score_gemma":0.000009954119,"teacher_disagreement_score":0.8424953,"about_ca_system_score_codex":0.00005160751,"about_ca_system_score_gemma":0.000032260097,"threshold_uncertainty_score":0.20520617},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833244,0.000019871972,0.00014884202,0.00094869366,0.00012687032,0.00017870885,0.0000035466644,0.000008285918,0.00023271091],"genre_scores_gemma":[0.9954757,0.0000046255013,0.004118016,0.00002830273,0.00030377563,0.0000029043579,0.0000029146854,4.2956862e-7,0.00006333479],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99889815,0.000015597836,0.00027352304,0.00014979095,0.0004287549,0.00023419394],"domain_scores_gemma":[0.9986984,0.00008006955,0.00033536754,0.00001820649,0.0007236912,0.00014427821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006373661,0.00008800435,0.00015753564,0.000015808151,0.00022129761,0.00012203896,0.00026980572,0.000025892166,0.000005408486],"category_scores_gemma":[0.00009256004,0.000027090677,0.00005281099,0.00073825277,0.00006321978,0.00026502155,0.000018218712,0.000057602847,5.5321397e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004265978,0.000024248915,0.005917703,0.0000075967164,0.000003922907,1.671766e-7,0.00007978095,0.00015835077,0.98309517,0.00037754222,0.00022913444,0.010063746],"study_design_scores_gemma":[0.00024123579,0.0031507658,0.79585725,0.0002570268,0.00002535897,0.00012380582,0.00046425092,0.0002788057,0.19551006,0.00010159366,0.0037873548,0.00020246649],"about_ca_topic_score_codex":0.000018741199,"about_ca_topic_score_gemma":0.00023440884,"teacher_disagreement_score":0.7899396,"about_ca_system_score_codex":0.000037070342,"about_ca_system_score_gemma":0.000018369628,"threshold_uncertainty_score":0.17020647},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983414,0.000031541735,0.00001638886,0.0006667767,0.000101622056,0.0001671958,0.0000032855478,0.000035512916,0.0006362735],"genre_scores_gemma":[0.9992295,0.0000088367515,0.0003024298,0.0002494357,0.0001305945,0.000003781589,0.0000030656483,2.4021284e-7,0.00007212566],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99914515,0.0000254513,0.00010200242,0.00028423424,0.0002039416,0.00023923641],"domain_scores_gemma":[0.9997632,0.000022425698,0.000037918922,0.000025532161,0.000089733694,0.000061219005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003589246,0.00007326237,0.00006854129,0.00003007755,0.00029655613,0.00018964207,0.00018617096,0.000045969766,0.0000594125],"category_scores_gemma":[0.000028035582,0.000031129166,0.00001951584,0.00084331445,0.000050024173,0.00019387016,0.000017931632,0.000075854965,0.000025394964],"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":[0.0000032270718,0.000024350971,0.012149929,4.067063e-7,4.6005164e-7,8.9694277e-7,0.00040157023,0.000024423549,0.9364105,0.000077962286,0.00012784725,0.05077845],"study_design_scores_gemma":[0.00006400579,0.00031871945,0.85836434,0.0000067809724,0.0000018815541,0.0000047341623,0.000016586964,0.00793622,0.13159384,0.00087669934,0.000708468,0.0001077124],"about_ca_topic_score_codex":0.00038468742,"about_ca_topic_score_gemma":0.0002524823,"teacher_disagreement_score":0.8462144,"about_ca_system_score_codex":0.000045172277,"about_ca_system_score_gemma":0.000012503685,"threshold_uncertainty_score":0.22808999},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988639,0.00009504418,0.000014585162,0.009360701,0.000008519131,0.00032492357,0.0002722239,0.000021797303,0.0012632378],"genre_scores_gemma":[0.99782366,0.00042547885,0.0008489461,0.000033082553,0.00012642071,0.000073356074,0.0006493318,6.500172e-7,0.000019053366],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992551,0.00006706123,0.00015131403,0.00013890733,0.00014557444,0.00024200899],"domain_scores_gemma":[0.99865425,0.000976881,0.00003378494,0.000095195224,0.00013257534,0.00010728978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006121894,0.00005653833,0.00009157291,0.000019689736,0.000650006,0.000099285266,0.0003810602,0.00004217966,0.0000070382453],"category_scores_gemma":[0.0000747164,0.0000303308,0.00003466812,0.00014500497,0.000052403815,0.00009307102,0.00013008255,0.00017076521,0.000003973316],"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":[0.000004640648,0.00005264208,0.00092113,0.0000017434614,0.000008512781,2.9255093e-8,0.00012329954,5.4143334e-7,0.6420371,0.0033872332,0.00025644602,0.35320666],"study_design_scores_gemma":[0.00018253337,0.00029676378,0.9802601,0.000022170618,0.00001233233,5.437082e-7,0.0002386464,0.0003046947,0.008914238,0.0048501873,0.0047888965,0.0001289489],"about_ca_topic_score_codex":0.00015963921,"about_ca_topic_score_gemma":0.000114668466,"teacher_disagreement_score":0.97933894,"about_ca_system_score_codex":0.00005967284,"about_ca_system_score_gemma":0.000010026825,"threshold_uncertainty_score":0.49993864},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975729,0.0016038086,0.0000031125435,0.000049829123,0.000036382367,0.00007405667,0.000008409469,0.0000067377296,0.000644741],"genre_scores_gemma":[0.9992448,0.00021757671,0.00041540826,0.000017032758,0.000029623023,0.0000027170388,0.0000036992312,4.8919674e-7,0.00006863246],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99952155,0.000018919354,0.00013776147,0.00012430943,0.00006828681,0.00012917163],"domain_scores_gemma":[0.9998623,0.000022194776,0.000048507623,0.00002234462,0.00001859781,0.000026060707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010126532,0.0000572237,0.000090597896,0.0000109291705,0.0000437058,0.00001440173,0.000054698223,0.000039296065,0.000020531039],"category_scores_gemma":[0.000008885038,0.00002931002,0.000013216473,0.00017140008,0.000014153363,0.00002713227,0.000016149745,0.000036624773,0.0000015145214],"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":[0.0000018393996,0.000008228017,0.05332567,0.000015336163,0.0000011434976,0.000002186459,0.00018047988,0.000051245574,0.9449467,0.00006481777,3.3185717e-7,0.0014020072],"study_design_scores_gemma":[0.00007971264,0.000020165575,0.98336345,0.000019645926,9.692503e-7,0.000010659855,0.00014216808,0.00009853702,0.015017417,0.00020212901,0.00096738123,0.00007773715],"about_ca_topic_score_codex":0.00001605817,"about_ca_topic_score_gemma":0.00008405221,"teacher_disagreement_score":0.9300378,"about_ca_system_score_codex":0.000007753984,"about_ca_system_score_gemma":0.000002120704,"threshold_uncertainty_score":0.119522795},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987338,0.00017797474,0.00001003779,0.0005816997,0.0003430161,0.00008487477,0.000032152122,0.000004925376,0.000031487343],"genre_scores_gemma":[0.99828,0.000013413455,0.0013563758,0.000026256028,0.00030477525,5.207946e-7,0.0000017765735,4.4861673e-7,0.000016459659],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99845165,0.00007136672,0.0003795902,0.00012672372,0.00063331996,0.0003373551],"domain_scores_gemma":[0.99891764,0.00020420061,0.00026670675,0.000034859397,0.0002909366,0.00028566227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010983334,0.00011895073,0.00019559344,0.00005725248,0.0002373266,0.00010753098,0.0004485647,0.000047361176,0.00003152594],"category_scores_gemma":[0.00022686386,0.000037428737,0.00007645781,0.0007403115,0.00010555722,0.00061185885,0.00008456056,0.0000990942,0.0000026967994],"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":[0.00005733995,0.00005741154,0.016288813,0.0000063517314,0.0000034398056,0.0000018389459,0.00043189418,0.0034865786,0.97466385,0.000007041159,0.00002857916,0.004966881],"study_design_scores_gemma":[0.000048555252,0.00033239133,0.796622,0.00023405469,0.000019000501,0.0002547326,0.001449516,0.00025688318,0.20059822,0.000005708983,0.00006498844,0.00011394962],"about_ca_topic_score_codex":0.00008885244,"about_ca_topic_score_gemma":0.000028018265,"teacher_disagreement_score":0.78033316,"about_ca_system_score_codex":0.00004958841,"about_ca_system_score_gemma":0.000023239701,"threshold_uncertainty_score":0.18253483},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781846,0.00087093044,0.003047681,0.008928209,0.00078537874,0.00053757353,0.00018507076,0.00011620095,0.0073443935],"genre_scores_gemma":[0.9877801,0.000076240685,0.0049852417,0.002142948,0.0017931222,0.000012303136,0.000050494466,0.0000023852022,0.0031571584],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984257,0.000013184445,0.00031599638,0.00044488002,0.00021348007,0.0005867247],"domain_scores_gemma":[0.99919826,0.00035294652,0.00012993265,0.000075482865,0.000072529394,0.00017083724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039198442,0.00021512668,0.00030259055,0.000014738389,0.00030043357,0.00011451328,0.00037356486,0.00018368408,0.0004925366],"category_scores_gemma":[0.00003996882,0.00009436776,0.0001843367,0.00019482864,0.000069156195,0.00009832455,0.00006237764,0.00013611869,0.000041592917],"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":[0.0010188526,0.0001434283,0.03038439,0.00004894179,0.00006820907,0.000028241166,0.0015601404,0.000040089366,0.24819683,0.001060861,0.32587394,0.39157608],"study_design_scores_gemma":[0.0016708309,0.00059546786,0.019793117,0.00005234497,0.000038240058,0.00004681563,0.00033204237,0.0008911958,0.05745399,0.0048139812,0.9137277,0.00058427517],"about_ca_topic_score_codex":0.00042173473,"about_ca_topic_score_gemma":0.00035752743,"teacher_disagreement_score":0.5878537,"about_ca_system_score_codex":0.000020099229,"about_ca_system_score_gemma":0.000011479491,"threshold_uncertainty_score":0.539293},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842864,0.00014798866,0.000016152624,0.00060884457,0.00035740872,0.00015652043,0.000056581615,0.000004186035,0.00022366186],"genre_scores_gemma":[0.99804825,0.000027641034,0.0016283834,0.000026237221,0.0002455689,0.000002645138,0.000005503418,3.6579908e-7,0.000015433112],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99844027,0.00003850429,0.00045892992,0.00016704104,0.00060899067,0.00028626068],"domain_scores_gemma":[0.9984021,0.00027478996,0.00042454922,0.000029674515,0.00065995526,0.00020889386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011893713,0.00010924888,0.00025765054,0.000036616082,0.00010872444,0.00006653844,0.0005257522,0.00005338541,0.0000064588057],"category_scores_gemma":[0.00026999493,0.00003553687,0.00008344898,0.0006648324,0.00012651306,0.00040412287,0.000060505252,0.00014026953,4.5677157e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022493366,0.00014422827,0.37383595,0.000011606623,0.000003642915,0.0000030472029,0.00015640543,0.001214185,0.621627,0.00007019846,0.00018659765,0.0027246575],"study_design_scores_gemma":[0.00034748748,0.0005933532,0.9790741,0.0001212566,0.0000072473586,0.000042110227,0.0011782157,0.00035105488,0.017871827,0.00008977555,0.00021615485,0.00010741284],"about_ca_topic_score_codex":0.0002440875,"about_ca_topic_score_gemma":0.0007514149,"teacher_disagreement_score":0.60523814,"about_ca_system_score_codex":0.000067747314,"about_ca_system_score_gemma":0.00006693377,"threshold_uncertainty_score":0.14491515},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969876,0.00009188505,0.0000030265196,0.0013580375,0.00041852973,0.00004970801,0.00009854181,0.0000024947824,0.0009901774],"genre_scores_gemma":[0.9992572,0.000012628715,0.00013012903,0.00028282893,0.00020352594,3.8879446e-7,0.0000050464755,2.5517193e-7,0.00010797493],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919534,0.000011023191,0.00017743457,0.00009506388,0.0002068962,0.0003142274],"domain_scores_gemma":[0.9988906,0.000060012855,0.000110270834,0.000024826899,0.00019637613,0.00071792305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000402208,0.00006077535,0.0000936398,0.000051543702,0.00027148423,0.00019374056,0.00048987893,0.000030234256,0.00066380133],"category_scores_gemma":[0.00010114252,0.00002240459,0.000031585903,0.00037223066,0.00015356841,0.00018683489,0.000012249857,0.0001041164,0.0000556239],"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":[0.000004227025,0.000010063912,0.052389245,0.000002312545,0.000005319252,0.000103592574,0.00018917887,0.00003785194,0.89440805,0.00037650933,0.018564254,0.033909418],"study_design_scores_gemma":[0.0001765756,0.0006388845,0.88108563,0.00010478404,0.000011361873,0.0014024501,0.00066974404,0.0015620433,0.010943517,0.0013754059,0.101684235,0.00034535886],"about_ca_topic_score_codex":0.010501645,"about_ca_topic_score_gemma":0.027428923,"teacher_disagreement_score":0.8834645,"about_ca_system_score_codex":0.000030470594,"about_ca_system_score_gemma":0.00022047627,"threshold_uncertainty_score":0.9960875},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987763,0.00041612095,0.0000031186657,0.00017545238,0.0001491692,0.00016871966,0.000015776777,0.000002105535,0.0002931982],"genre_scores_gemma":[0.9996973,0.000022046923,0.00014400035,0.00000965588,0.00011064515,0.0000016794954,0.0000015088468,2.3765632e-7,0.000012915463],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99853617,0.00008634347,0.00038236054,0.00009436765,0.00067695125,0.00022378075],"domain_scores_gemma":[0.99844205,0.00013134317,0.00037843522,0.000022566837,0.00090485334,0.000120776014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014167974,0.00009162718,0.00030712763,0.000024085848,0.0001672951,0.00004548663,0.00018534335,0.000040389405,0.000068161855],"category_scores_gemma":[0.0000428228,0.00002582101,0.00008069367,0.0002456833,0.00023407597,0.0004550338,0.000027684564,0.0000899259,0.000001670061],"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":[0.000026333028,0.00004337823,0.01836514,0.0000022798085,0.000013497831,6.867755e-8,0.00074202276,0.0002188781,0.9800976,0.00027785246,0.000012463158,0.00020049603],"study_design_scores_gemma":[0.00039587775,0.00022192701,0.91247475,0.000026258558,0.00006219324,0.000031198855,0.0005641421,0.00003810589,0.08587097,0.00023185485,0.000012058677,0.00007065749],"about_ca_topic_score_codex":0.000115460876,"about_ca_topic_score_gemma":0.000045091565,"teacher_disagreement_score":0.8942266,"about_ca_system_score_codex":0.000025158102,"about_ca_system_score_gemma":0.000013752602,"threshold_uncertainty_score":0.12867156},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980448,0.00010761997,0.0014589976,0.000033769447,0.00008176467,0.00012970463,0.000022636053,0.000007895502,0.00011280372],"genre_scores_gemma":[0.99758595,0.00009337028,0.0020594187,0.00005918555,0.00006714798,0.0000027271763,0.000004038872,9.168827e-7,0.00012725248],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99908674,0.000007777565,0.00011926393,0.000321473,0.00021189495,0.0002528493],"domain_scores_gemma":[0.9997431,0.000037678597,0.00006877811,0.000042756288,0.000012220736,0.00009543951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013034073,0.00009525016,0.000095435396,0.000017072642,0.0007174824,0.00009031716,0.00014407087,0.000033810797,0.00005350222],"category_scores_gemma":[0.000014383167,0.000043363714,0.000027394313,0.000095239026,0.00023827922,0.00025854397,0.00008289585,0.000047579135,0.000006684597],"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":[0.000014405378,0.000013019862,0.010339446,0.0000017370551,0.0000029932237,8.309889e-7,0.00022677268,0.003011078,0.9822723,0.000025626017,0.000004595924,0.0040871934],"study_design_scores_gemma":[0.00040817595,0.0004030098,0.46793106,0.00003493339,0.000035429915,0.00011035728,0.00030270003,0.45036384,0.07143696,0.00081854686,0.0075054383,0.0006495511],"about_ca_topic_score_codex":0.00006206537,"about_ca_topic_score_gemma":0.000011335364,"teacher_disagreement_score":0.9108353,"about_ca_system_score_codex":0.000045497723,"about_ca_system_score_gemma":0.000009942694,"threshold_uncertainty_score":0.5518367},"labels":[],"label_agreement":null},{"id":"W2130505531","doi":"10.3389/fgene.2014.00227","title":"Analysis of linear and non-linear genotype × 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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974919,0.000250095,0.001824764,0.000057889487,0.00015006226,0.00005061238,0.000015819907,0.0000029173325,0.00015595042],"genre_scores_gemma":[0.99157387,0.0007052384,0.007546457,0.000029596922,0.000070043476,0.0000011897168,0.000039887695,5.3459746e-7,0.000033185315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949527,0.000023192511,0.00014947822,0.00014168408,0.000087443426,0.000102916274],"domain_scores_gemma":[0.9998246,0.000030427082,0.00005852933,0.0000385857,0.0000105135105,0.000037386093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012949092,0.000063793894,0.0001513288,0.000036892525,0.000031239077,0.0000068408212,0.0000765981,0.000054798413,0.000032068103],"category_scores_gemma":[0.000008030013,0.000030665746,0.000037857495,0.00018666325,0.000024984936,0.000011150998,0.00003627008,0.00004914645,0.0000017126043],"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":[0.000018094215,0.000034148263,0.8349519,0.000005350049,0.0000836832,4.2217016e-7,0.00015275262,0.011890846,0.043099202,0.000003678171,0.00015670719,0.10960322],"study_design_scores_gemma":[0.00007253882,0.00014562422,0.69233465,0.0000053419985,0.00010940315,3.7019606e-7,0.00016281102,0.29292002,0.0024956423,0.00006213902,0.0115941735,0.00009726085],"about_ca_topic_score_codex":0.00004878681,"about_ca_topic_score_gemma":0.00009787187,"teacher_disagreement_score":0.28102916,"about_ca_system_score_codex":0.000008119866,"about_ca_system_score_gemma":0.0000010444356,"threshold_uncertainty_score":0.12505127},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951763,0.0004998609,0.00002993739,0.00022217036,0.00005920833,0.00010949952,0.000034593133,0.000007515844,0.0038609107],"genre_scores_gemma":[0.99889594,0.000023121474,0.00091635133,0.000041120406,0.000050413895,0.0000022294846,0.000014782475,0.0000018008393,0.000054225846],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989745,0.000039235732,0.00029569518,0.00020645425,0.00017815105,0.00030593312],"domain_scores_gemma":[0.99958265,0.000059466,0.00011438619,0.000060024806,0.0000815286,0.00010195341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036065423,0.000106945176,0.00018505401,0.0000737242,0.00006907294,0.00003177474,0.00023188621,0.00009097258,0.000022341776],"category_scores_gemma":[0.00009111769,0.000058854745,0.00005247528,0.0005104997,0.000043433574,0.00002838453,0.00004732242,0.00008396971,0.0000011733002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001394894,0.000009350612,0.08114981,0.000027236309,0.0000050075437,0.000004310905,0.00013818366,0.00023832145,0.91446424,0.0008770645,0.000010867319,0.0030616617],"study_design_scores_gemma":[0.0001728698,0.0001524139,0.8250091,0.0001537517,0.000010476306,0.0000033446277,0.0000932889,0.0011643068,0.16950755,0.0003716525,0.0031524834,0.00020875047],"about_ca_topic_score_codex":0.031514052,"about_ca_topic_score_gemma":0.27568293,"teacher_disagreement_score":0.7449567,"about_ca_system_score_codex":0.000017535513,"about_ca_system_score_gemma":0.000014476927,"threshold_uncertainty_score":0.9749352},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99580115,0.0001863723,0.00037825073,0.00247476,0.000028521818,0.0006838294,0.00003573496,0.000022307795,0.00038905346],"genre_scores_gemma":[0.9929289,0.000109530614,0.0066398005,0.000054637247,0.000036472746,0.0000037953348,0.000033182354,0.000003279584,0.00019038982],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974327,0.00071166403,0.00027947075,0.00044749092,0.000547575,0.0005810806],"domain_scores_gemma":[0.9986309,0.00049160287,0.00011969102,0.00012246032,0.0004375891,0.00019775472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045565884,0.0001664138,0.00028828453,0.0001335941,0.00041854146,0.00003785535,0.00072928437,0.00021535919,0.00022612044],"category_scores_gemma":[0.00024064018,0.00007965659,0.0001240168,0.0011021303,0.00012552542,0.000252972,0.00027706657,0.000804237,0.000018121416],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028753013,0.00009652802,0.064202264,0.000027899814,0.000030306288,0.000009239071,0.0015808273,0.00001908571,0.8944473,0.00030642212,0.000093365124,0.0388992],"study_design_scores_gemma":[0.00044849137,0.00062054466,0.889763,0.000102415936,0.000030726755,0.000024677212,0.0071645123,0.00050612225,0.09727692,0.0025459642,0.0012776167,0.000238991],"about_ca_topic_score_codex":0.0066886274,"about_ca_topic_score_gemma":0.0066733565,"teacher_disagreement_score":0.82556075,"about_ca_system_score_codex":0.00007443375,"about_ca_system_score_gemma":0.000026778556,"threshold_uncertainty_score":0.9999259},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99891657,0.0001269916,0.0000019848019,0.00025910788,0.00030436853,0.00008052439,0.0000055536134,0.000004904828,0.00030001372],"genre_scores_gemma":[0.998911,0.000016200118,0.00070770964,0.000031944346,0.0003178902,0.0000011773178,0.0000010276342,4.447435e-7,0.000012580736],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99827015,0.00006557946,0.0003820943,0.00014552292,0.0007757036,0.00036094803],"domain_scores_gemma":[0.998919,0.00017643116,0.00050261983,0.000024352325,0.00023417578,0.00014339473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011821399,0.000115043265,0.00018902807,0.00005457824,0.00018537077,0.0000681618,0.0003714008,0.000051222676,0.000027389471],"category_scores_gemma":[0.0001621732,0.00003833632,0.0000709564,0.0011727249,0.000070696035,0.0005039986,0.000034584034,0.00020688529,0.0000014730592],"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":[0.000015080647,0.00007271121,0.23097137,0.000004786977,0.0000018086406,5.9851527e-7,0.00013521592,0.0044502863,0.7577818,0.000022901479,0.000012138896,0.006531302],"study_design_scores_gemma":[0.00012418581,0.00033332832,0.8958105,0.00019384355,0.0000062407944,0.000017786142,0.0003351389,0.0009781551,0.102037326,0.0000053555823,0.000059302205,0.00009885164],"about_ca_topic_score_codex":0.000293075,"about_ca_topic_score_gemma":0.0003071731,"teacher_disagreement_score":0.6648391,"about_ca_system_score_codex":0.00009226093,"about_ca_system_score_gemma":0.00003217345,"threshold_uncertainty_score":0.15633097},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970908,0.0018405117,0.00020891223,0.0003361427,0.000058421912,0.000084774365,0.000052708692,0.000006447655,0.00032125006],"genre_scores_gemma":[0.9955094,0.0010993859,0.0031766982,0.000090073874,0.000047760615,0.000008508972,0.000027612976,0.0000013496186,0.000039245966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993105,0.000058685077,0.00018782054,0.00019348625,0.000043434466,0.00020608478],"domain_scores_gemma":[0.9997162,0.00009267971,0.00006669692,0.000028975219,0.000048273097,0.000047136775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016794662,0.00009639412,0.00015772914,0.00001993029,0.00004754855,0.000012840894,0.00007671778,0.00008124516,0.000026515332],"category_scores_gemma":[0.00003541033,0.0000483339,0.00004216106,0.00007910246,0.000047689125,0.0000043363066,0.000032147094,0.000047553127,5.9769195e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015547295,0.000021479495,0.022045,0.000007499297,0.00000849672,9.575655e-7,0.000013635418,0.00003098174,0.90574706,0.00041466005,0.000009807898,0.07168486],"study_design_scores_gemma":[0.0021846313,0.0024259342,0.087948285,0.00013715071,0.00012164654,0.0001803563,0.00045912075,0.027469587,0.8505526,0.007532046,0.019995725,0.0009928865],"about_ca_topic_score_codex":0.00032073382,"about_ca_topic_score_gemma":0.00033266065,"teacher_disagreement_score":0.07069197,"about_ca_system_score_codex":0.000005706559,"about_ca_system_score_gemma":0.0000018614215,"threshold_uncertainty_score":0.19709992},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974485,0.00050419563,0.0000702051,0.00020312284,0.00011186004,0.00015090164,0.0003473073,0.000014878863,0.0011490176],"genre_scores_gemma":[0.9990903,0.00031805807,0.00022300237,0.000027916483,0.00007977754,0.0000065664017,0.00012952164,0.0000015512035,0.0001233138],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989674,0.00009342337,0.00031447835,0.00021257735,0.00020436588,0.00020777146],"domain_scores_gemma":[0.9993451,0.00027322592,0.0001846525,0.000071914656,0.000039926257,0.00008512982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033642992,0.00013747886,0.00021425994,0.000019861414,0.00020462468,0.000036332964,0.00023704993,0.00010991185,0.00008033837],"category_scores_gemma":[0.000031636482,0.000051867897,0.00006712968,0.00016374585,0.00010185865,0.000047622805,0.0000638358,0.00008067061,0.0000036051536],"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":[0.000025516712,0.000072444906,0.013406831,0.000043196243,0.000046004996,0.0000038591224,0.00038006785,0.0005163339,0.9037575,0.0007362397,0.0010034872,0.080008514],"study_design_scores_gemma":[0.00018759673,0.00017737814,0.9765491,0.00007423308,0.00006421773,0.00003769666,0.000039308907,0.010046576,0.007964914,0.0005586163,0.0041325213,0.00016786461],"about_ca_topic_score_codex":0.00015374272,"about_ca_topic_score_gemma":0.0004699155,"teacher_disagreement_score":0.9631423,"about_ca_system_score_codex":0.0000029402845,"about_ca_system_score_gemma":0.0000072540315,"threshold_uncertainty_score":0.21151115},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988494,0.000317669,0.000002181892,0.00051104854,0.00012365844,0.00006073974,0.0000018058828,0.0000020906461,0.00013138475],"genre_scores_gemma":[0.99944687,0.00021154052,0.00026921718,0.00001145334,0.000046126326,3.251182e-7,2.7163188e-7,1.7651885e-7,0.000014020442],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99916345,0.000046907397,0.00034191116,0.00013565361,0.00017754546,0.00013451249],"domain_scores_gemma":[0.9991835,0.00034479343,0.00025292713,0.000014426055,0.00012887116,0.00007551273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012600513,0.000072457944,0.000180986,0.000022454638,0.00009414942,0.000032571483,0.00013191823,0.00004130759,0.000006755573],"category_scores_gemma":[0.00042130376,0.00002337358,0.00002792812,0.00033035388,0.00019957575,0.00016461602,0.00004807188,0.00009911745,2.8047666e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008075142,0.000017832825,0.091202654,0.0000073350243,0.0000051805746,7.014818e-7,0.00041606658,0.00019450016,0.8858446,0.00017007987,0.000027388533,0.022105612],"study_design_scores_gemma":[0.000092781585,0.0002444846,0.996929,0.000056983852,0.000008853806,0.00009566148,0.0006268576,0.0001860473,0.0007198755,0.0009612071,0.00001555786,0.0000627286],"about_ca_topic_score_codex":0.000031916396,"about_ca_topic_score_gemma":0.00007243456,"teacher_disagreement_score":0.9057263,"about_ca_system_score_codex":0.000019594827,"about_ca_system_score_gemma":0.0000068720483,"threshold_uncertainty_score":0.09531469},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904215,0.0002813467,0.000005661295,0.00029888778,0.000022131222,0.00013384101,0.00013034308,0.000003839321,0.00008181866],"genre_scores_gemma":[0.99861175,0.0010930502,0.000033024404,0.000028298915,0.000026170212,0.000003782282,0.00015419746,5.966469e-7,0.000049154176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994201,0.00005860968,0.0001833336,0.0001240152,0.00011742213,0.000096503085],"domain_scores_gemma":[0.99971324,0.00010345456,0.00011678332,0.000024394794,0.00001608071,0.000026021402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009448023,0.00007038925,0.000116178875,0.0000238569,0.0001376153,0.000015432404,0.00006639915,0.00005140852,0.000005037505],"category_scores_gemma":[0.000010729917,0.000028683144,0.0000140857555,0.00017817126,0.00005125611,0.000018104225,0.00001474581,0.000039879782,1.1942961e-7],"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":[0.0000515834,0.00002446842,0.53637016,0.000013471198,0.000004939149,0.0000031014167,0.0008904061,0.0000073546785,0.4605192,0.000003898604,0.00022275205,0.0018886785],"study_design_scores_gemma":[0.00013336544,0.00013537802,0.9953862,0.000018598237,0.000010418954,0.00013095218,0.00029846144,0.00047074343,0.0019125651,0.000017384147,0.0014231537,0.00006281589],"about_ca_topic_score_codex":0.0006439275,"about_ca_topic_score_gemma":0.00022370221,"teacher_disagreement_score":0.459016,"about_ca_system_score_codex":0.0000023077625,"about_ca_system_score_gemma":0.000002038498,"threshold_uncertainty_score":0.11696646},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994338,0.000018821944,0.000009741256,0.00031535677,0.00011205772,0.000066333196,0.000012331262,0.000002816168,0.000028706516],"genre_scores_gemma":[0.9997524,0.000059186525,0.00008425931,0.0000140177435,0.000076196775,8.5872466e-7,0.0000014210876,3.489605e-7,0.000011321627],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990681,0.000040814757,0.00037372464,0.00012644817,0.00024204401,0.00014890653],"domain_scores_gemma":[0.9992445,0.000086583765,0.00042362127,0.000017962617,0.00014919329,0.000078143035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015846005,0.00006710051,0.00018675513,0.000051756975,0.00011486757,0.00004878476,0.00012279893,0.00007096551,0.0000094030265],"category_scores_gemma":[0.0001649254,0.00002943582,0.000023365306,0.00025930934,0.00023425028,0.00018915391,0.00003704628,0.00016976235,7.623113e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046825935,0.00003631923,0.08218551,0.000013656974,0.0000016791545,0.0000020264008,0.00018788403,0.0000017702511,0.9143204,0.00043818846,0.000003651872,0.002762069],"study_design_scores_gemma":[0.00011556552,0.0005573492,0.92235243,0.000061896666,0.0000055542223,0.00012807554,0.0002069106,0.00039749572,0.07567617,0.00033216664,0.000098339326,0.000068059555],"about_ca_topic_score_codex":0.0001004118,"about_ca_topic_score_gemma":0.00016832462,"teacher_disagreement_score":0.8401669,"about_ca_system_score_codex":0.000007112202,"about_ca_system_score_gemma":0.000024766132,"threshold_uncertainty_score":0.12003579},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992078,0.000037892834,0.000029301818,0.00009242137,0.00016069067,0.000025352123,0.0003433427,7.689568e-7,0.000102435144],"genre_scores_gemma":[0.99944043,0.000014197996,0.0004962022,0.000012883015,0.00002183189,9.850798e-8,0.000006921167,2.1388665e-7,0.000007248401],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992472,0.0000097731745,0.00022311213,0.00009867871,0.00023659432,0.00018464332],"domain_scores_gemma":[0.999231,0.000063206215,0.00020964924,0.000027254757,0.00011838937,0.000350517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003950285,0.000061711646,0.00017618008,0.00013825003,0.0001421468,0.000071937415,0.00024944413,0.00003694302,0.00003389851],"category_scores_gemma":[0.00007691078,0.000023968487,0.000055128745,0.00066796504,0.00024676617,0.00018236245,0.000016993412,0.000089529225,9.0319645e-8],"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":[0.000003040381,0.0000048598968,0.06199818,0.0000015382357,0.000027666569,0.0000037043535,0.00023650144,0.0003648319,0.93555415,0.0012612382,0.000090373,0.00045394522],"study_design_scores_gemma":[0.00005872619,0.00011143289,0.9654768,0.00002674059,0.00009867245,0.00006558752,0.0010680062,0.0029993623,0.029659243,0.00016246452,0.00016377175,0.00010920768],"about_ca_topic_score_codex":0.0039501674,"about_ca_topic_score_gemma":0.05037176,"teacher_disagreement_score":0.9058949,"about_ca_system_score_codex":0.00002416994,"about_ca_system_score_gemma":0.00012675046,"threshold_uncertainty_score":0.9669565},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744546,0.0006156312,0.0013204254,0.000058976682,0.000437794,0.0000820901,0.0000020873351,0.0000025873326,0.000034963552],"genre_scores_gemma":[0.9954078,0.00014570304,0.004102523,0.000011000045,0.00032627734,4.2894695e-7,0.000002380016,3.4166038e-7,0.0000035147982],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987916,0.000078527926,0.0004282655,0.0001048838,0.0003600476,0.00023670081],"domain_scores_gemma":[0.99914515,0.00013657445,0.00043665175,0.000021172133,0.00015572825,0.00010473068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012062179,0.000084577005,0.0001873343,0.000060110553,0.00013593912,0.00006076482,0.00018526657,0.000052769516,0.000032441527],"category_scores_gemma":[0.00013752251,0.00003135762,0.00006651759,0.00090167864,0.00007752992,0.00065424154,0.000035989877,0.000112155816,0.0000012569835],"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":[0.000011999627,0.000052569445,0.043132752,0.0000030329234,0.0000031609093,4.427724e-7,0.00009432597,0.014718745,0.9333217,0.000015766256,0.0000028370803,0.00864263],"study_design_scores_gemma":[0.00014904114,0.00019393346,0.86712366,0.00007611114,0.000024237304,0.00013540439,0.00044668902,0.0055144774,0.12588553,0.000019138884,0.0003136316,0.00011813727],"about_ca_topic_score_codex":0.00016367472,"about_ca_topic_score_gemma":0.00005906764,"teacher_disagreement_score":0.8239909,"about_ca_system_score_codex":0.00012527849,"about_ca_system_score_gemma":0.000013686081,"threshold_uncertainty_score":0.12787266},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974684,0.00038396724,8.3522025e-7,0.00014463758,0.00017368078,0.00014570572,0.000019206109,0.00002884523,0.0016347033],"genre_scores_gemma":[0.9989483,0.000011040056,0.000037658458,0.00020371957,0.00026497137,0.0000109991715,0.00022931046,9.306141e-7,0.00029312287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988233,0.000020813666,0.00021851705,0.00025645038,0.00021609309,0.0004648296],"domain_scores_gemma":[0.99976814,0.000033220877,0.00003525076,0.00002887224,0.000004556488,0.00012995624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021238298,0.00016012415,0.00012888554,0.000012775823,0.00012371386,0.00003671497,0.00015390062,0.00011521893,0.00029574413],"category_scores_gemma":[0.000002635914,0.000049590617,0.000052556406,0.00012200003,0.000025193685,0.000072589566,0.00007944846,0.0001275003,0.00009268541],"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":[0.000020890117,0.00013821502,0.011892406,9.696538e-7,0.0000046780356,0.00003219334,0.00053779903,0.0000063824455,0.9856176,0.00003979873,0.0007548422,0.0009542259],"study_design_scores_gemma":[0.00015178334,0.00014648789,0.1330999,0.000014787445,0.0000025734766,0.000019972182,0.0018528117,0.000010169577,0.8236161,0.000011020489,0.040884897,0.0001895101],"about_ca_topic_score_codex":0.00011757863,"about_ca_topic_score_gemma":0.00029965755,"teacher_disagreement_score":0.16200152,"about_ca_system_score_codex":0.00005488483,"about_ca_system_score_gemma":7.0015255e-7,"threshold_uncertainty_score":0.32381907},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991252,0.000028946002,0.0000028877532,0.0005012691,0.00022475963,0.00003601849,0.000017557239,0.0000017603203,0.000061616556],"genre_scores_gemma":[0.9986991,0.000014579027,0.0010833838,0.000023907112,0.00011041707,2.2505886e-7,8.0796195e-7,4.1202583e-7,0.00006715226],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987603,0.000023191982,0.00046016232,0.0001581087,0.000328998,0.00026922976],"domain_scores_gemma":[0.9992442,0.000076966346,0.00032818824,0.000041783256,0.00013876602,0.0001701127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079242175,0.000086939915,0.00024819962,0.00017634194,0.00007834035,0.000075299235,0.0006319811,0.000051796866,0.00028093913],"category_scores_gemma":[0.00006679156,0.000037028272,0.00012363051,0.001390997,0.0002678508,0.00022708447,0.000030981046,0.00020013869,0.0000033502906],"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":[0.0000065394474,0.000023399416,0.06783606,0.0000014121148,0.000015801717,0.000009410529,0.00009966376,0.000849009,0.9215722,0.0000767338,0.000035312132,0.009474461],"study_design_scores_gemma":[0.00007705893,0.00014898712,0.9824478,0.000012362823,0.00005683175,0.000025018338,0.00013675024,0.00028115168,0.01622533,0.00028468872,0.00021834414,0.00008564514],"about_ca_topic_score_codex":0.000110424764,"about_ca_topic_score_gemma":0.0005771547,"teacher_disagreement_score":0.91461176,"about_ca_system_score_codex":0.000012577351,"about_ca_system_score_gemma":0.000049080998,"threshold_uncertainty_score":0.30760866},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980935,0.000142799,0.00023185111,0.00032299952,0.00008715987,0.0010039248,0.000049234564,0.000020965123,0.000047595702],"genre_scores_gemma":[0.9938213,0.0000056581516,0.005277591,0.000089070956,0.000086232125,0.00013821585,0.00057388947,0.0000022794268,0.0000057359357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895644,0.000077118006,0.00027625173,0.00028697765,0.00013564965,0.00026756013],"domain_scores_gemma":[0.99940896,0.00024147208,0.00017430898,0.00004540399,0.00007461969,0.000055224133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023455266,0.0001368848,0.00021368715,0.00002837422,0.00010337296,0.00012740555,0.00029940164,0.00011731085,0.000004181348],"category_scores_gemma":[0.000043383134,0.000069622205,0.000038094317,0.00014860362,0.00005004377,0.00008453128,0.00010447379,0.00006248726,0.0000020749424],"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":[0.000039661943,0.0008874987,0.6956793,0.00005351968,0.00009096049,0.0000075567536,0.0003839515,0.0044331895,0.15319781,0.00023286455,0.00011545408,0.14487824],"study_design_scores_gemma":[0.00083143014,0.0017849876,0.95829064,0.00015151205,0.00005276851,0.000028571121,0.00045346218,0.016538065,0.02003101,0.00008268677,0.0016003097,0.00015454319],"about_ca_topic_score_codex":0.00019506633,"about_ca_topic_score_gemma":0.0016990869,"teacher_disagreement_score":0.26261136,"about_ca_system_score_codex":0.00003083723,"about_ca_system_score_gemma":0.000019404084,"threshold_uncertainty_score":0.28391114},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984465,0.00013234119,6.006231e-7,0.001276857,0.000049479433,0.00006445682,0.0000031616528,5.5494485e-7,0.000026011881],"genre_scores_gemma":[0.99971294,0.00009239145,0.000047381724,0.00007596992,0.000023257244,1.5852304e-7,1.8124082e-7,2.7993923e-7,0.00004742418],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919236,0.000019963894,0.00021091681,0.00012590818,0.0002518918,0.0001989528],"domain_scores_gemma":[0.9996287,0.000094187395,0.00012404242,0.000021548827,0.00001657752,0.00011492875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037582192,0.00007408298,0.00014194533,0.000039423576,0.000046891804,0.000034084896,0.0001681705,0.000029980501,0.0000062853856],"category_scores_gemma":[0.000035410016,0.00003326884,0.000013613291,0.0001967387,0.00009537896,0.000080431346,0.000019183259,0.00011372631,2.6712692e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003569377,0.000038496833,0.18316454,0.000009031905,0.0000014832588,0.000093363844,0.00013197964,0.00012656648,0.8040577,0.000018741977,0.000028164439,0.012294225],"study_design_scores_gemma":[0.00015191385,0.0005859725,0.97019225,0.00009167148,0.0000029309763,0.00003206368,0.000055570843,0.000011964842,0.02851637,0.00015417459,0.00013992001,0.000065202374],"about_ca_topic_score_codex":0.007620605,"about_ca_topic_score_gemma":0.023101645,"teacher_disagreement_score":0.7870277,"about_ca_system_score_codex":0.000025982834,"about_ca_system_score_gemma":0.000028932653,"threshold_uncertainty_score":0.99898773},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959495,0.00005938094,0.00016925129,0.002642108,0.00030501073,0.00011891164,0.0000037047153,0.000013171868,0.00073896494],"genre_scores_gemma":[0.9971523,0.000023161905,0.0009519034,0.00021469915,0.00045161502,0.000006806206,0.0000027959265,2.4926106e-7,0.0011964217],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931234,0.0000037775756,0.00008023347,0.00023840836,0.00016296616,0.0002022464],"domain_scores_gemma":[0.9998264,0.0000383895,0.000032797707,0.00003552839,0.000015592326,0.000051305182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028754663,0.000048880294,0.000041613224,0.000009234097,0.00040779883,0.00010016659,0.00022827697,0.000023236795,0.000097992146],"category_scores_gemma":[0.000084128165,0.00002004876,0.000024341549,0.00016098308,0.000063185704,0.0001640586,0.000046245288,0.00003568961,0.000032321157],"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":[0.0000024755063,0.000010282271,0.0011836211,0.0000011428108,4.263512e-7,8.919435e-8,0.000047270576,0.000021567317,0.8862366,0.00006638492,0.0006370535,0.11179306],"study_design_scores_gemma":[0.000060716193,0.00017997473,0.07331983,0.000019091507,0.0000058865653,0.000010336268,0.00019006385,0.0008980163,0.7514566,0.0004916281,0.17316751,0.00020030899],"about_ca_topic_score_codex":0.000021472355,"about_ca_topic_score_gemma":0.000059392412,"teacher_disagreement_score":0.17253046,"about_ca_system_score_codex":0.00001333527,"about_ca_system_score_gemma":0.0000043370414,"threshold_uncertainty_score":0.31365},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852246,0.000044717748,0.000062405095,0.0010829861,0.00016422101,0.0000616102,0.000009538596,7.73843e-7,0.00005128617],"genre_scores_gemma":[0.9992703,0.000120348275,0.00049586286,0.000058167796,0.00004090724,4.1070908e-7,2.2530114e-7,1.9660453e-7,0.000013573014],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99898803,0.000063435255,0.00028576626,0.000086811284,0.0004431012,0.00013284484],"domain_scores_gemma":[0.9993029,0.00025540244,0.00027719914,0.000040507195,0.00008230888,0.000041666615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001768921,0.000048229944,0.000101116915,0.000031074127,0.000082762635,0.00003779548,0.00037557766,0.000024152834,0.000043766384],"category_scores_gemma":[0.00014706401,0.000017728316,0.00003146528,0.0002966735,0.00019793141,0.00021400233,0.000053162254,0.000089653404,0.0000012318234],"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":[0.001310214,0.000057922123,0.10434058,0.00000326137,0.0000033055987,0.000009217448,0.0018856538,0.0053276294,0.87406164,0.000046254536,0.00006262726,0.012891709],"study_design_scores_gemma":[0.00013799242,0.00065160205,0.9788793,0.000053080166,0.0000030219674,0.000214002,0.0027445923,0.00036883316,0.011903794,0.0002005542,0.0047875815,0.000055676494],"about_ca_topic_score_codex":0.000067463705,"about_ca_topic_score_gemma":0.00003983265,"teacher_disagreement_score":0.87453866,"about_ca_system_score_codex":0.000026325897,"about_ca_system_score_gemma":0.000022471339,"threshold_uncertainty_score":0.07292865},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933475,0.00025590815,0.000008867671,0.0029551869,0.00036747387,0.00021895216,0.0025366747,0.00006990172,0.00023953326],"genre_scores_gemma":[0.9960565,0.000057976104,0.00017231697,0.0011820669,0.00035565108,0.000026163767,0.0019010684,0.0000019127417,0.0002463623],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985104,0.00005278234,0.00026866223,0.00042674266,0.00012925864,0.0006121346],"domain_scores_gemma":[0.99929845,0.00033844353,0.00010986798,0.000062035346,0.0000362781,0.00015491081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016280006,0.00022616361,0.00024920367,0.000021209846,0.00028692035,0.00012324985,0.0003375091,0.00021228941,0.00045323742],"category_scores_gemma":[0.000032245767,0.0000891735,0.00007559806,0.00011544308,0.0000958875,0.000030142763,0.00013142347,0.00016231484,0.00005458192],"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":[0.000008524806,0.00002938289,0.10052063,0.0000063460493,0.000009467691,0.0000035856501,0.00006379747,0.000011016071,0.8780277,0.00006766219,0.018838221,0.002413694],"study_design_scores_gemma":[0.000878436,0.0010383608,0.61896497,0.0001673362,0.00006696814,0.00064140954,0.0018260385,0.0054885386,0.15336677,0.00043979334,0.2150448,0.002076606],"about_ca_topic_score_codex":0.0033993109,"about_ca_topic_score_gemma":0.0010389223,"teacher_disagreement_score":0.7246609,"about_ca_system_score_codex":0.000019530045,"about_ca_system_score_gemma":0.000008642663,"threshold_uncertainty_score":0.5138764},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777824,0.000087987704,0.000019555808,0.0016266527,0.00026399244,0.000031229687,0.00010788254,0.0000018701305,0.00008261107],"genre_scores_gemma":[0.9995794,0.00006518461,0.00014748135,0.00008792065,0.00009516061,0.0000010346871,0.000018237097,2.7025294e-7,0.000005283386],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995189,0.000014116316,0.00023612572,0.000098126104,0.00005353158,0.00007924581],"domain_scores_gemma":[0.99906576,0.0006488194,0.00014122465,0.000010187211,0.00009351813,0.00004048809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033938405,0.0000491882,0.00013413659,0.00004574729,0.000027567363,0.000028106508,0.00012380458,0.00006142948,0.000088374916],"category_scores_gemma":[0.00024593217,0.00002147214,0.00006071457,0.00006281173,0.00003189369,0.000038717073,0.000030289726,0.00013818318,3.000438e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042858483,0.000024884506,0.25277022,0.0000012698529,0.0001114177,0.000004132852,0.00004664753,0.00000674237,0.7184875,0.00012433801,0.0000310393,0.028348977],"study_design_scores_gemma":[0.00017046173,0.00027337507,0.9934127,0.0000139687045,0.000030953237,0.00014331787,0.00004379121,0.00032657053,0.0021523891,0.0025759286,0.0007921345,0.00006443735],"about_ca_topic_score_codex":0.0000853317,"about_ca_topic_score_gemma":0.0004335183,"teacher_disagreement_score":0.7406425,"about_ca_system_score_codex":0.000004053454,"about_ca_system_score_gemma":0.0000031397192,"threshold_uncertainty_score":0.09676433},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973429,0.00012759048,3.5215447e-7,0.0017944688,0.000079760095,0.00006610272,0.00010032576,0.000012776201,0.00047575633],"genre_scores_gemma":[0.9994307,0.00011881503,0.0000920674,0.00013469264,0.000089700596,0.000004016894,0.000018700459,2.5943763e-7,0.000111031026],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99901634,0.000010837225,0.00018096025,0.00028742565,0.00024377179,0.0002606619],"domain_scores_gemma":[0.9996643,0.000080439655,0.000051289193,0.00003301704,0.00004968641,0.000121255725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015697115,0.00010828225,0.00015721493,0.00002757604,0.00018911192,0.00009699256,0.00024925894,0.000044032775,0.000050331266],"category_scores_gemma":[0.00002181342,0.000034773486,0.000023589855,0.00095180445,0.00009093968,0.00015751136,0.00008919179,0.00005590202,0.0000078045],"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":[0.000015137745,0.00003068151,0.16786043,0.0000021235796,0.000004640093,0.0000016263776,0.00040187113,0.00008308641,0.81847334,0.00045317796,0.00017516511,0.012498704],"study_design_scores_gemma":[0.00006463426,0.00029929547,0.98839873,0.000031981257,0.0000035035528,0.0000061257015,0.00038810397,0.00001362855,0.009470921,0.00016108838,0.0010353861,0.0001266103],"about_ca_topic_score_codex":0.003231302,"about_ca_topic_score_gemma":0.008573327,"teacher_disagreement_score":0.8205383,"about_ca_system_score_codex":0.000010216127,"about_ca_system_score_gemma":0.000004860443,"threshold_uncertainty_score":0.48847836},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968795,0.000025277395,0.00000416468,0.00011466637,0.00013527833,0.00010518047,0.0026695835,4.980185e-7,0.0000658579],"genre_scores_gemma":[0.9998424,0.0000029966334,0.00007836423,0.000027547183,0.000033581196,3.8445347e-7,0.000005666487,3.5073805e-7,0.000008681416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988435,0.000034802153,0.00034316428,0.0001768678,0.00020227702,0.00039937306],"domain_scores_gemma":[0.9983829,0.00072064146,0.00014644986,0.00004001589,0.00014811642,0.00056183443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007088916,0.00008061289,0.00024616657,0.000087887354,0.00012272525,0.000038018577,0.00027630865,0.00005694211,0.00017703832],"category_scores_gemma":[0.00071745674,0.000038867907,0.00006110505,0.00060749496,0.0002610334,0.00011750455,0.000013118423,0.00012190766,6.688903e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008581534,0.000021067928,0.98932,0.0000030411777,0.000027973094,0.000017198743,0.0013579259,0.000017931492,0.007299042,0.00018650398,0.000058860398,0.0016046357],"study_design_scores_gemma":[0.00011419996,0.00018554782,0.99547595,0.000020937585,0.000062997125,0.000014078297,0.0021703558,0.00041293135,0.0011685826,0.00007843277,0.00019925552,0.000096712334],"about_ca_topic_score_codex":0.9615685,"about_ca_topic_score_gemma":0.9989203,"teacher_disagreement_score":0.0373518,"about_ca_system_score_codex":0.00010253348,"about_ca_system_score_gemma":0.000953177,"threshold_uncertainty_score":0.19384454},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99615496,0.000120428405,0.00007019439,0.003368852,0.0000670683,0.000090588415,0.00002756358,0.0000017059145,0.00009865964],"genre_scores_gemma":[0.9991104,0.000049831153,0.000084728315,0.00036265215,0.00021397274,6.6798754e-7,8.407191e-7,3.77249e-7,0.00017652051],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99942577,0.000019119185,0.00021236876,0.000057985904,0.00015262695,0.00013210386],"domain_scores_gemma":[0.9995579,0.00016363297,0.00015068983,0.000013280417,0.000029561612,0.00008491591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092802226,0.000056952293,0.000079267054,0.000010056862,0.00014464904,0.000053267722,0.00010677015,0.00002444038,0.000035220783],"category_scores_gemma":[0.000031609256,0.000015556217,0.000043198917,0.000048250382,0.000015199863,0.000030957664,0.000034485358,0.00007403174,0.0000019234758],"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":[0.000020684114,0.000027878523,0.008499333,4.8925125e-7,0.000016182019,0.0000017968272,0.00031236644,0.000012068521,0.7986257,0.000016199732,0.00041744034,0.19204983],"study_design_scores_gemma":[0.0000651825,0.0005481593,0.95374435,0.000006845411,0.0000074460086,0.0000051097745,0.0004966794,0.000006579411,0.018410848,0.00009331932,0.026567983,0.00004752439],"about_ca_topic_score_codex":0.000029383598,"about_ca_topic_score_gemma":0.00016153819,"teacher_disagreement_score":0.94524497,"about_ca_system_score_codex":0.00002379353,"about_ca_system_score_gemma":0.0000032917728,"threshold_uncertainty_score":0.1112538},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959727,0.00011184827,0.000013876431,0.003448813,0.00018287956,0.00001944905,0.000021078637,0.0000015917108,0.00022774756],"genre_scores_gemma":[0.99932796,0.0001806588,0.00007833114,0.00016741766,0.00017803622,5.9271883e-7,0.000017994658,1.4789018e-7,0.0000488553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942935,0.00006858932,0.00025098727,0.00006547013,0.000108132466,0.00007746773],"domain_scores_gemma":[0.99931586,0.00022605533,0.00022653802,0.000008970847,0.0001907878,0.000031792413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039749444,0.000039578827,0.00012455888,0.000041400217,0.000013714033,0.000035385106,0.00012672028,0.00006156619,0.00022703914],"category_scores_gemma":[0.00009189243,0.000015603575,0.000057528054,0.00009846688,0.000009748259,0.000055758017,0.00002556452,0.00007240608,0.0000049433766],"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":[0.000008407591,0.000018032466,0.87128174,2.4397346e-7,0.00009833342,0.0000015641428,0.000029807798,0.0000066716593,0.09845263,0.00013627614,0.00011003095,0.029856263],"study_design_scores_gemma":[0.00009961233,0.00006361743,0.99664134,0.0000040582545,0.000012036653,0.0000095042315,0.000062332016,0.00012693132,0.00017260882,0.0017594073,0.0010122551,0.000036295485],"about_ca_topic_score_codex":0.0012558697,"about_ca_topic_score_gemma":0.0006910081,"teacher_disagreement_score":0.1253596,"about_ca_system_score_codex":0.000032832842,"about_ca_system_score_gemma":0.000003266453,"threshold_uncertainty_score":0.24859193},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999414,0.000041872325,0.000016493714,0.00004654652,0.00024321038,0.000060417555,0.000043527507,0.0000010686309,0.00013281546],"genre_scores_gemma":[0.9995211,0.0000045333472,0.0003019269,0.000091022644,0.000075131145,2.457268e-7,0.0000053941235,3.0266204e-7,3.9309415e-7],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890906,0.000047722257,0.00024428175,0.00014901627,0.00029997076,0.0003499752],"domain_scores_gemma":[0.9995282,0.00007608434,0.00010488393,0.00003221055,0.000060300878,0.00019827734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017868625,0.000070503476,0.000095062074,0.00013120509,0.00038304162,0.00013794495,0.0007410671,0.000030869338,0.000032919852],"category_scores_gemma":[0.0000740121,0.000026651338,0.000018921779,0.0006016773,0.0001502548,0.00038099854,0.000012778007,0.00014347472,6.219045e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004503056,0.00004150652,0.62779516,0.0000067070905,0.0000036449053,0.0003619884,0.018040331,0.038469475,0.30806798,0.0024556373,0.00003334769,0.0046791667],"study_design_scores_gemma":[0.00011274954,0.00028792807,0.36285433,0.00016989387,0.000004721555,0.0004569476,0.0061367596,0.62724847,0.00062063284,0.0018403223,0.00005816979,0.00020909928],"about_ca_topic_score_codex":0.17593028,"about_ca_topic_score_gemma":0.3153876,"teacher_disagreement_score":0.588779,"about_ca_system_score_codex":0.00005410336,"about_ca_system_score_gemma":0.00019301983,"threshold_uncertainty_score":0.8295573},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908348,0.000024016796,0.0002605018,0.0054792026,0.00008430472,0.00010252764,0.000015183254,0.000026524762,0.0031729785],"genre_scores_gemma":[0.99877584,0.000004571898,0.00010252409,0.0006923694,0.00026196858,0.000004620596,0.00008691956,6.89145e-7,0.0000704716],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909014,0.000034934306,0.00020481754,0.00018505266,0.00020159644,0.0002834876],"domain_scores_gemma":[0.9996435,0.00018549638,0.000038081063,0.00004548463,0.000024837214,0.00006259556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023733459,0.00010226051,0.00014307206,0.00004367044,0.000102925835,0.00005687634,0.000100949575,0.000047678222,0.0004109611],"category_scores_gemma":[0.00002283364,0.00003669351,0.00007421151,0.00026833778,0.000014511461,0.000054950207,0.000016993201,0.000087780856,0.000041831052],"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":[0.00021880506,0.0005663526,0.014408791,0.000028558772,0.00010648516,0.00003894942,0.0018302703,0.17711939,0.66712856,0.000495309,0.0019816011,0.13607691],"study_design_scores_gemma":[0.00054046937,0.00031838688,0.09547165,0.00012889357,0.000103177736,0.0000051114835,0.0004260934,0.84218943,0.055726152,0.00015128322,0.0045192037,0.00042013387],"about_ca_topic_score_codex":0.000063978616,"about_ca_topic_score_gemma":0.00068546407,"teacher_disagreement_score":0.66507006,"about_ca_system_score_codex":0.000025400896,"about_ca_system_score_gemma":0.000001937911,"threshold_uncertainty_score":0.44997358},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990394,0.00016547025,0.00015945738,0.00023949918,0.00017904241,0.00018962366,0.0000087959515,0.0000054956604,0.000013180201],"genre_scores_gemma":[0.9937889,0.000043047203,0.0059883487,0.000016082435,0.0001561779,0.000002620457,0.000002005673,3.9206313e-7,0.0000024400088],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989854,0.000020368916,0.00035781882,0.00011994695,0.00027185428,0.00024462893],"domain_scores_gemma":[0.9992603,0.0001012543,0.00031465577,0.000021297905,0.00020569882,0.000096795215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009980685,0.00008884413,0.00017323821,0.000029466604,0.00015723026,0.00004386955,0.00014688318,0.0000447969,0.000002525166],"category_scores_gemma":[0.00008519529,0.000032585493,0.00004502034,0.00039925426,0.00009327099,0.00067769084,0.00003940293,0.00008336208,8.276424e-8],"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":[0.000013243589,0.000054283428,0.011879537,0.000012866246,0.0000014000368,1.2807197e-7,0.00009516587,0.00021509329,0.95569587,0.000024740726,0.000005646027,0.032002024],"study_design_scores_gemma":[0.00009994017,0.00033188015,0.6165051,0.00008510473,0.000008838017,0.00006544789,0.000250353,0.0012319629,0.38123515,0.000083240855,0.00002412442,0.00007884727],"about_ca_topic_score_codex":0.00012556266,"about_ca_topic_score_gemma":0.000034548462,"teacher_disagreement_score":0.6046256,"about_ca_system_score_codex":0.000076257216,"about_ca_system_score_gemma":0.000012497006,"threshold_uncertainty_score":0.13287978},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997128,0.0013579271,0.0000048929514,0.00019386351,0.00020596717,0.000073184165,0.0010070545,6.9340194e-7,0.000028387276],"genre_scores_gemma":[0.999638,0.000030884425,0.00016852205,0.000053293516,0.000087217726,7.476506e-7,0.0000045999673,3.0913228e-7,0.000016431648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926776,0.000025471667,0.0002010226,0.00010276873,0.00013964939,0.00026335983],"domain_scores_gemma":[0.9989964,0.00015380164,0.0001292379,0.000026387781,0.00013374478,0.0005604325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011718348,0.00006246141,0.00013384629,0.00002534972,0.00020312319,0.000046484256,0.00013272504,0.000030808904,0.000056830548],"category_scores_gemma":[0.00014740287,0.00002594733,0.000026317803,0.00008819024,0.0002846226,0.00015975595,0.0000205886,0.000050197552,3.577624e-7],"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":[0.000016510447,0.0000067442907,0.8203572,0.000013201861,0.0000032965715,0.0000027584313,0.00044954257,4.3210179e-7,0.17773962,0.000095329415,0.000095317584,0.0012200475],"study_design_scores_gemma":[0.00006178408,0.00011098424,0.9908051,0.000017804894,0.0000065618833,0.00004278087,0.00023827633,0.0000147108585,0.004595924,0.000046234407,0.003991605,0.000068254616],"about_ca_topic_score_codex":0.0053530205,"about_ca_topic_score_gemma":0.07352127,"teacher_disagreement_score":0.17314368,"about_ca_system_score_codex":0.000033887594,"about_ca_system_score_gemma":0.00007175811,"threshold_uncertainty_score":0.9433845},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99954796,0.000022944314,0.00009035773,0.000049474667,0.00008162212,0.000097918535,0.00010449262,7.4601235e-7,0.0000045089428],"genre_scores_gemma":[0.99939984,0.000004771992,0.0005239697,0.000030554194,0.000022208571,0.0000012818957,0.000009304537,4.477157e-7,0.0000076088945],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994084,0.0000062340628,0.00020786522,0.00010828095,0.00013294586,0.00013625188],"domain_scores_gemma":[0.9995683,0.000049606548,0.00016812225,0.00001548186,0.00002614596,0.00017235141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036185858,0.00005404003,0.00007226929,0.000050002163,0.00017963488,0.000040631545,0.00010505989,0.000018024602,0.0000042990428],"category_scores_gemma":[0.000037821992,0.000026451633,0.000012852907,0.00006130823,0.00005286811,0.00009042066,0.000006337421,0.000031651278,1.5113058e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003606175,0.000018701588,0.06835913,0.000013417491,0.0000047794806,0.0000035089627,0.00034045978,0.00012709152,0.9020866,0.000044688695,0.0000084907915,0.028957084],"study_design_scores_gemma":[0.00011819105,0.00014450154,0.89682317,0.00004532174,0.0000041329617,0.000008843404,0.000072612995,0.0019182689,0.100643195,0.00008638523,0.000076924734,0.000058448077],"about_ca_topic_score_codex":0.00067827426,"about_ca_topic_score_gemma":0.0030976064,"teacher_disagreement_score":0.82846403,"about_ca_system_score_codex":0.000027149355,"about_ca_system_score_gemma":0.00004585747,"threshold_uncertainty_score":0.1728537},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989188,0.0003129875,0.0000781677,0.00010385839,0.00020593019,0.00012956315,0.000026179005,0.000010076149,0.00021444852],"genre_scores_gemma":[0.99954116,0.00005596586,0.00025056425,0.000020061725,0.00006123394,0.00000363212,0.0000062099243,8.4922624e-7,0.000060297418],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99873185,0.000033084147,0.00015973201,0.00039110583,0.00031668603,0.0003675162],"domain_scores_gemma":[0.99963546,0.000046967885,0.00008006246,0.000042476506,0.000026425263,0.00016860265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005185531,0.00011600352,0.00010596131,0.000035492107,0.00027502223,0.00020028502,0.00022337634,0.0000585871,0.000014921606],"category_scores_gemma":[0.00006321227,0.000055800156,0.000018963874,0.000576265,0.00017990611,0.00019115939,0.00013178054,0.00011062557,0.0000034091108],"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":[0.000014321294,0.00004526632,0.03729029,0.0000056689128,0.0000012345376,0.0000028972174,0.000095297735,0.00012649296,0.93975455,0.0000039200067,0.000040718805,0.022619344],"study_design_scores_gemma":[0.00021087343,0.00019536949,0.93732715,0.00014546659,0.0000094958605,0.00001722962,0.00048502666,0.023412984,0.0371396,0.000110112844,0.000629106,0.0003176159],"about_ca_topic_score_codex":0.0005529722,"about_ca_topic_score_gemma":0.0009199829,"teacher_disagreement_score":0.90261495,"about_ca_system_score_codex":0.00008164709,"about_ca_system_score_gemma":0.00002552021,"threshold_uncertainty_score":0.22754642},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914658,0.00011256554,0.000087804154,0.0036244863,0.00007384261,0.00023770395,0.00015339063,0.000038561535,0.004205863],"genre_scores_gemma":[0.9977358,0.00003251066,0.0018306853,0.00018854561,0.000051863186,0.000011168571,0.00013845635,0.0000023467799,0.00000861721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983166,0.00023573263,0.00030141848,0.0004955545,0.00038648257,0.00026422154],"domain_scores_gemma":[0.99879605,0.00045657353,0.00020016321,0.00017162462,0.00016278781,0.00021277693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004042608,0.000191871,0.00023593022,0.000053154672,0.00044474273,0.00009979531,0.0003561701,0.00015970046,0.000028518867],"category_scores_gemma":[0.0003112778,0.00010410917,0.00004337984,0.00021905667,0.000023398896,0.00012275846,0.0003900549,0.00018943909,0.0000025973472],"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":[0.00049425254,0.0008249701,0.09868205,0.00018995446,0.00018724531,0.00008483442,0.0010230343,0.00038951822,0.40131468,0.47164702,0.00035747243,0.024804948],"study_design_scores_gemma":[0.000656214,0.00047348117,0.95652175,0.00016635755,0.00005237285,0.00006238007,0.00054212986,0.012340935,0.0031164123,0.0007123891,0.02488994,0.00046564348],"about_ca_topic_score_codex":0.000027098473,"about_ca_topic_score_gemma":0.00014355099,"teacher_disagreement_score":0.8578397,"about_ca_system_score_codex":0.00003494583,"about_ca_system_score_gemma":0.000025744392,"threshold_uncertainty_score":0.42454487},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14836729,0.0019294032,0.84184116,0.002922805,0.00012445425,0.00047570854,0.00016105772,0.00011391741,0.0040642065],"genre_scores_gemma":[0.24606729,0.00073988305,0.7519197,0.00011354746,0.00006425805,0.00003627944,0.00041366636,0.0000050325752,0.00064036506],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9911566,0.0072127134,0.00042534707,0.0006933008,0.00017790217,0.00033414224],"domain_scores_gemma":[0.9913371,0.007093625,0.0003866585,0.00028228163,0.0007519776,0.0001483488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016495012,0.00028500913,0.00040198053,0.0000370521,0.0004096487,0.000410681,0.0006892476,0.00027664844,0.00004417354],"category_scores_gemma":[0.0009864629,0.0001572119,0.0002119008,0.00014515531,0.00007554138,0.000045374753,0.00067834207,0.0004243805,0.0000019020819],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049632014,0.00015104964,0.00034464875,0.00010172041,0.00006854175,0.000001061255,0.003377267,0.0011232218,0.045511775,0.06787056,0.00009549215,0.88130504],"study_design_scores_gemma":[0.0004083089,0.0000033294234,0.0036805489,0.0019772954,0.00014570332,0.000021008502,0.0007878783,0.78111774,0.043256614,0.1503965,0.01732989,0.0008752231],"about_ca_topic_score_codex":0.0009408617,"about_ca_topic_score_gemma":0.00047384005,"teacher_disagreement_score":0.8804298,"about_ca_system_score_codex":0.000027000464,"about_ca_system_score_gemma":0.00002235822,"threshold_uncertainty_score":0.6410915},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850684,0.00008036949,0.000040856543,0.00022309067,0.0003033704,0.000075846125,0.0005249387,0.0000010836446,0.0002436091],"genre_scores_gemma":[0.99908245,0.0000035129492,0.0008037241,0.000007984652,0.00009357984,3.7367022e-7,0.0000042275196,3.4196353e-7,0.0000037827288],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99920845,0.000016961245,0.0002687543,0.00009450077,0.00021520162,0.00019612387],"domain_scores_gemma":[0.99880004,0.00024359989,0.00023654127,0.000041747997,0.00038896658,0.00028912048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015218471,0.00005415611,0.00012978967,0.00004865837,0.000247114,0.00002837051,0.0004118425,0.000048603448,0.00007073574],"category_scores_gemma":[0.0005768776,0.00002298479,0.000051146624,0.00025316142,0.00030626106,0.00008981061,0.000008697563,0.00015219311,4.5950176e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014995808,0.0000070812935,0.26629698,0.000006045316,0.0000035576807,0.0000010614639,0.00015726901,0.000020455773,0.7269427,0.001617209,0.00007676917,0.004855833],"study_design_scores_gemma":[0.000066173976,0.00017224037,0.96551913,0.000021299755,0.000011597932,0.000034336554,0.00016812401,0.00013086748,0.02889705,0.0029604489,0.0019503407,0.000068419955],"about_ca_topic_score_codex":0.0052987454,"about_ca_topic_score_gemma":0.3726386,"teacher_disagreement_score":0.6992221,"about_ca_system_score_codex":0.0000144337455,"about_ca_system_score_gemma":0.00037170987,"threshold_uncertainty_score":0.8010154},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890566,0.00004514934,0.000013994668,0.0002678831,0.000028999926,0.000054809592,0.0000018782463,0.00000819689,0.0006734402],"genre_scores_gemma":[0.99813443,0.000008147009,0.001810606,0.000012324649,0.000021427391,0.0000017523123,0.0000010261584,1.1091176e-7,0.000010143737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993501,0.000010527982,0.00010341186,0.00016916449,0.00020897973,0.00015785913],"domain_scores_gemma":[0.9996953,0.00006284058,0.000042623156,0.000021472186,0.00007471854,0.00010303736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008062211,0.00003907656,0.00009200182,0.00004218541,0.0000632204,0.00008288259,0.00010758404,0.000021035292,0.0000073034125],"category_scores_gemma":[0.00021955828,0.000015004379,0.00001709433,0.001617327,0.00019459895,0.00010726623,0.00007154516,0.00004345251,8.4588936e-7],"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":[0.0000069624925,0.00004200292,0.65254706,0.0000020700418,0.000004022581,0.0000033663323,0.00022317002,0.000037740185,0.27928776,0.00018500307,0.000006731127,0.06765412],"study_design_scores_gemma":[0.00008199004,0.00029018443,0.97573835,0.000014202093,0.000024438721,0.000011139089,0.000646567,0.015359348,0.0069592735,0.00022231862,0.0005547442,0.00009742874],"about_ca_topic_score_codex":0.0003954219,"about_ca_topic_score_gemma":0.00046513742,"teacher_disagreement_score":0.32319131,"about_ca_system_score_codex":0.000007965352,"about_ca_system_score_gemma":0.0000199881,"threshold_uncertainty_score":0.07992387},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861467,0.00006986503,0.0000084131425,0.0004280414,0.00006909928,0.00025632125,0.00027243732,0.000018316172,0.0002628342],"genre_scores_gemma":[0.9998429,0.000022437755,0.000015044989,0.000054600263,0.000025357655,0.000007058213,0.000016050668,0.0000015414889,0.000015025575],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988468,0.000062334366,0.00024478193,0.0003396226,0.00024378035,0.00026262514],"domain_scores_gemma":[0.99950707,0.00026667558,0.000069934555,0.000056654688,0.000017945425,0.00008173436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044255558,0.00015033103,0.00021015079,0.000027049537,0.000057967405,0.0000260448,0.00015950626,0.00007557998,0.000038885228],"category_scores_gemma":[0.00010312059,0.0000557273,0.00004221171,0.0001644418,0.000039229322,0.000041418352,0.000071139926,0.00009035455,0.0000025084378],"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":[0.000037783797,0.0001222919,0.16270483,0.0000036308563,0.00000840062,0.000021615155,0.00018756873,3.8562325e-7,0.8333081,0.00003487526,0.0001391042,0.0034314417],"study_design_scores_gemma":[0.0007879264,0.0019261217,0.53477156,0.0002736703,0.00001923587,0.000018259849,0.0021931622,0.000029658484,0.45861334,0.0001476872,0.00077026745,0.00044907906],"about_ca_topic_score_codex":0.0004950348,"about_ca_topic_score_gemma":0.0005453982,"teacher_disagreement_score":0.37469473,"about_ca_system_score_codex":0.000015176901,"about_ca_system_score_gemma":0.000002206052,"threshold_uncertainty_score":0.22724935},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954688,0.000008400189,0.0031708335,0.0006664081,0.00005581966,0.0003604631,0.00012700913,0.000015583855,0.00012671226],"genre_scores_gemma":[0.9985387,0.0000120445075,0.0010772827,0.000054119726,0.00008652816,0.000026462865,0.000004284368,5.5915444e-7,0.0002000382],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99897,0.000011270248,0.00014398523,0.00032292405,0.00034646675,0.00020541078],"domain_scores_gemma":[0.9996141,0.000045243873,0.00006843808,0.00007496731,0.00006815759,0.00012906306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022930925,0.000076457625,0.00008445175,0.00001800886,0.00017666264,0.000058349957,0.0002804177,0.000027712369,0.000028094031],"category_scores_gemma":[0.000023055642,0.000023207911,0.000021076588,0.00036078173,0.00023055605,0.00022638857,0.000076902004,0.000023843148,0.000019600038],"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":[0.00029554658,0.000034103592,0.0009820584,9.95262e-7,0.0000011734667,2.6782962e-7,0.000049449198,0.00049940177,0.98865736,0.00022238116,0.00002418176,0.009233107],"study_design_scores_gemma":[0.007308817,0.0068690763,0.7666037,0.00017234196,0.00004626281,0.000030131385,0.00021395403,0.010172984,0.1579823,0.0018026069,0.047761805,0.0010360102],"about_ca_topic_score_codex":0.000092574664,"about_ca_topic_score_gemma":0.000027177008,"teacher_disagreement_score":0.830675,"about_ca_system_score_codex":0.000028603032,"about_ca_system_score_gemma":0.000012431439,"threshold_uncertainty_score":0.1358764},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990783,0.000048379723,0.000040976927,0.00046249403,0.000048872174,0.00004802268,0.000042737207,0.000003397451,0.00022684949],"genre_scores_gemma":[0.99959207,0.00003963862,0.00027214957,0.000014950187,0.000016670843,0.0000017335548,0.0000028683721,1.948434e-7,0.00005974946],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995278,0.000011247748,0.000102761005,0.00013263106,0.00011721932,0.00010835166],"domain_scores_gemma":[0.99983454,0.000044603818,0.00004941093,0.000021077169,0.000014089061,0.000036273654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014440034,0.000035478723,0.000046708094,0.0000136863655,0.00010050068,0.000021992671,0.000091409674,0.000012250777,0.00007403931],"category_scores_gemma":[0.000026561065,0.000012993769,0.000010327585,0.00015222626,0.00009839227,0.00007742596,0.00003076664,0.000019426647,0.0000047274934],"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":[6.7984257e-7,0.000011112288,0.10429808,2.829855e-7,2.978109e-7,8.901032e-8,0.00003311722,0.000017311932,0.8485954,0.00012263047,0.000016356335,0.046904657],"study_design_scores_gemma":[0.000048467962,0.00002952291,0.9915299,0.000007753914,0.0000016926083,0.0000012767399,0.00003165938,0.00014139844,0.007153016,0.0005359052,0.0004767622,0.000042679323],"about_ca_topic_score_codex":0.00030317274,"about_ca_topic_score_gemma":0.0004138218,"teacher_disagreement_score":0.88723177,"about_ca_system_score_codex":0.000026134185,"about_ca_system_score_gemma":0.000004321104,"threshold_uncertainty_score":0.081067845},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99939066,0.000017966171,3.7057112e-7,0.00006885411,0.0002713836,0.0000367282,0.000112988666,6.932662e-7,0.00010037451],"genre_scores_gemma":[0.9996976,0.000015244852,0.00019130507,0.000011572775,0.000068446585,2.6634692e-7,0.0000020489676,3.421396e-7,0.000013132124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991827,0.000010160594,0.00020833182,0.00010237933,0.00022225254,0.00027416568],"domain_scores_gemma":[0.99944335,0.000059651462,0.00011944818,0.00003035954,0.00002316726,0.00032399793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027116598,0.000060819024,0.0001068992,0.00006258418,0.00013022074,0.00003736643,0.000435293,0.000042312993,0.000055938406],"category_scores_gemma":[0.0000749871,0.000026609667,0.000027047705,0.00020407925,0.00019461833,0.00014430011,0.000016970904,0.00021457984,0.0000024862604],"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":[0.0000047992307,0.0000050998487,0.60974085,0.000001274046,6.336307e-7,0.000014042294,0.00006826505,0.00004585168,0.38838443,0.0000117899435,0.000005396954,0.0017175784],"study_design_scores_gemma":[0.000081083876,0.00009449629,0.97335345,0.000046408462,0.0000015342677,0.0000595806,0.0000721055,0.0005675331,0.024709215,0.000008313438,0.00094608584,0.00006020136],"about_ca_topic_score_codex":0.0029289387,"about_ca_topic_score_gemma":0.043363184,"teacher_disagreement_score":0.3636752,"about_ca_system_score_codex":0.000022657932,"about_ca_system_score_gemma":0.00007953339,"threshold_uncertainty_score":0.97409296},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935865,0.00012220429,0.00015870815,0.000058437687,0.00008699254,0.000052079988,0.00003070903,4.338966e-7,0.00013178399],"genre_scores_gemma":[0.9989201,0.000017652035,0.00103883,0.0000040318578,0.000016049462,1.9265464e-7,0.0000019617814,2.0395355e-7,9.763568e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999194,0.00017329695,0.0002004533,0.000088546956,0.0002498842,0.00009378666],"domain_scores_gemma":[0.9990479,0.00036383467,0.00023808311,0.000026623087,0.00014548411,0.00017811992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057499474,0.000039800852,0.000093645336,0.00007473961,0.00010670514,0.000024482122,0.00009907387,0.000022818373,0.00003121249],"category_scores_gemma":[0.00073160435,0.00001886224,0.000014007894,0.00022625334,0.00021136113,0.00011345666,0.000011253101,0.000059698737,1.119701e-7],"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":[0.000010186319,0.000009438058,0.7467616,0.0000078142675,0.0000069891134,7.1652426e-7,0.00031128278,0.00045857867,0.1611659,0.00043936903,0.000009558037,0.09081856],"study_design_scores_gemma":[0.000057436107,0.00014328067,0.9822839,0.000021202106,0.000029071112,0.000026158601,0.00019540382,0.011989885,0.0040541836,0.0010273717,0.00013407062,0.000038045448],"about_ca_topic_score_codex":0.0021326179,"about_ca_topic_score_gemma":0.0047409805,"teacher_disagreement_score":0.23552229,"about_ca_system_score_codex":0.000042396183,"about_ca_system_score_gemma":0.000084334744,"threshold_uncertainty_score":0.32238942},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982955,0.000012740122,0.00012929567,0.0013849018,0.000026018537,0.00009440486,0.000023647708,0.0000034165976,0.000030092304],"genre_scores_gemma":[0.999756,0.000053672662,0.000043085987,0.000105709645,0.000015955899,0.000005970553,0.000007853781,1.2316832e-7,0.00001164994],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99947166,0.000017668384,0.00007842613,0.00018071689,0.0001101871,0.00014134432],"domain_scores_gemma":[0.9996223,0.00026625427,0.000026995984,0.000037953232,0.000017817043,0.000028706847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006015126,0.000042065556,0.000049502105,0.0000222213,0.0001693188,0.000072870724,0.00016726782,0.000015286194,0.00008371967],"category_scores_gemma":[0.000044310007,0.000010298193,0.000018370147,0.0003680228,0.00013822239,0.00006811455,0.00003747738,0.000021919239,0.000002539622],"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":[0.000014180732,0.000019554473,0.13910578,0.0000014804092,0.0000037064412,3.0237354e-7,0.00048672108,0.00005270191,0.8356657,0.000055024204,0.000013720525,0.024581116],"study_design_scores_gemma":[0.000044214874,0.00013672876,0.9680499,0.0000063817088,0.000015176098,0.0000010561893,0.00076284166,0.001606946,0.0222108,0.00058425806,0.0065016667,0.00008005706],"about_ca_topic_score_codex":0.00037224646,"about_ca_topic_score_gemma":0.00071531243,"teacher_disagreement_score":0.8289441,"about_ca_system_score_codex":0.000015680354,"about_ca_system_score_gemma":0.0000021834264,"threshold_uncertainty_score":0.13022804},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99653125,0.00018251028,0.000036581972,0.00036050242,0.0001399264,0.000037387734,0.002668643,5.96952e-7,0.000042581003],"genre_scores_gemma":[0.99973565,0.000026053724,0.00015429182,0.000027376936,0.000037378286,1.2633913e-7,0.000017159862,2.2148562e-7,0.0000017127516],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99903893,0.000023015706,0.00020755446,0.00017318156,0.00037751795,0.0001798061],"domain_scores_gemma":[0.9990533,0.00019822699,0.00014147095,0.00008486586,0.00019215255,0.00032998354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011528976,0.000054730488,0.00013736438,0.000054499404,0.0001398302,0.00004249596,0.000525146,0.000022902976,0.00012493748],"category_scores_gemma":[0.00027849313,0.000020568934,0.0000186913,0.00035235062,0.00009594012,0.00016528284,0.000037865135,0.00004305089,2.1221908e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008458607,0.0000033996994,0.37869844,0.0000014102058,0.000041626423,0.000007830347,0.000050068775,0.00044720812,0.60540366,0.000030800493,0.00031602435,0.014991064],"study_design_scores_gemma":[0.000043857322,0.00002616352,0.95375496,0.00003318141,0.00013315551,0.000005069095,0.00018861944,0.04219327,0.003222471,0.00011154169,0.0002120693,0.00007564778],"about_ca_topic_score_codex":0.8846104,"about_ca_topic_score_gemma":0.9992599,"teacher_disagreement_score":0.6021812,"about_ca_system_score_codex":0.00010244489,"about_ca_system_score_gemma":0.00089476793,"threshold_uncertainty_score":0.15872799},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99903184,0.00023029964,6.961017e-7,0.00010151354,0.0003389722,0.000043342654,0.000054006574,4.28044e-7,0.00019891417],"genre_scores_gemma":[0.9998387,0.000006413553,0.00007109491,0.000015144139,0.00006305425,7.803221e-8,5.8742586e-7,2.1145348e-7,0.000004725748],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989669,0.000038061688,0.00017832516,0.00005622564,0.00061751285,0.0001429885],"domain_scores_gemma":[0.9988923,0.00002470224,0.00023030063,0.000029797302,0.0006300662,0.00019283933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026578752,0.0000391658,0.00007824061,0.000038232447,0.0001344442,0.000021086682,0.00040187562,0.000020030922,0.000023164717],"category_scores_gemma":[0.00018926978,0.0000134427955,0.000026599644,0.00038690484,0.00017309902,0.00010190935,0.000014477025,0.000053737287,5.222671e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062432227,0.000006717335,0.12881388,0.000003929168,0.0000052929554,0.0000014365629,0.00043949616,0.005431347,0.85654986,0.00007365655,0.00013476133,0.008533412],"study_design_scores_gemma":[0.00021221561,0.00044490895,0.83505607,0.00021123995,0.00007882422,0.0002770063,0.0008218204,0.039863072,0.12079234,0.00035178574,0.0017425853,0.00014815488],"about_ca_topic_score_codex":0.003107901,"about_ca_topic_score_gemma":0.011352654,"teacher_disagreement_score":0.73575747,"about_ca_system_score_codex":0.00005690252,"about_ca_system_score_gemma":0.0009800653,"threshold_uncertainty_score":0.63350475},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984145,0.000024244715,0.00001091229,0.00018332728,0.00003137033,0.00048006355,0.000074860276,0.00003344274,0.0007472508],"genre_scores_gemma":[0.9991838,0.0000022401157,0.00044801287,0.00008712186,0.000040698753,0.000027126123,0.000044714918,0.0000016981168,0.00016462192],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99902517,0.00011450055,0.00020547658,0.0002855429,0.00018273121,0.00018658672],"domain_scores_gemma":[0.999562,0.00007896106,0.00013389662,0.000050575087,0.00011153678,0.0000630049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042031406,0.00015673392,0.00019381558,0.000013351506,0.000119258795,0.000047399382,0.00011923174,0.000064031075,0.000018030918],"category_scores_gemma":[0.000056645913,0.000059795133,0.000017668151,0.00027739388,0.000040509894,0.00003965153,0.00006473949,0.00012326408,0.0000023384425],"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":[0.0003761245,0.00022358577,0.16985974,0.000009406698,0.000032886783,0.00001615712,0.00041503334,2.1838964e-8,0.8215394,0.0000587812,0.0000123608315,0.0074564824],"study_design_scores_gemma":[0.0001991528,0.0025346375,0.97514457,0.00004104048,0.000014407319,0.0000049421396,0.0012679078,0.000011296774,0.020476848,0.000044121844,0.000081288104,0.00017979796],"about_ca_topic_score_codex":0.00024539663,"about_ca_topic_score_gemma":0.000026672864,"teacher_disagreement_score":0.8052848,"about_ca_system_score_codex":0.0000068706213,"about_ca_system_score_gemma":0.0000038923286,"threshold_uncertainty_score":0.24383748},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978398,0.000041766118,0.0006476095,0.00019897739,0.00007661674,0.00012820365,0.000055048196,0.000016556165,0.0009954043],"genre_scores_gemma":[0.99683636,0.0000043917685,0.0026245352,0.00003684462,0.0001269814,0.0000018257176,0.000023531455,3.4736647e-7,0.00034519966],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994927,0.000008240262,0.00013873074,0.00010813453,0.000088518274,0.00016370106],"domain_scores_gemma":[0.99951774,0.00032509427,0.00004708429,0.000024026702,0.000045669425,0.000040361843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004550553,0.000054337022,0.000095859745,0.000004578673,0.00007467179,0.0000120945915,0.00009552599,0.000050532555,0.00008676628],"category_scores_gemma":[0.000060199836,0.000017912982,0.000048221413,0.00009507268,0.00002512745,0.000019696221,0.000023940756,0.000031210486,0.0000011028712],"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":[0.0005062745,0.000052584463,0.099983305,0.000028201044,0.000017725648,0.0000013578659,0.00018990498,0.0000150979495,0.83938223,0.00096583756,0.00021883758,0.058638673],"study_design_scores_gemma":[0.00011469291,0.00027839988,0.9693502,0.000009097306,0.000007528385,0.0000019396075,0.0006640066,0.00018701995,0.01880362,0.00091371464,0.0095840255,0.00008573801],"about_ca_topic_score_codex":0.00023339211,"about_ca_topic_score_gemma":0.00080885197,"teacher_disagreement_score":0.8693669,"about_ca_system_score_codex":0.0000030191434,"about_ca_system_score_gemma":0.0000029992657,"threshold_uncertainty_score":0.095002994},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984087,0.000027963231,0.000042034753,0.00009711774,0.00010526234,0.000029364603,0.00001802517,0.000006769213,0.0012648037],"genre_scores_gemma":[0.9996611,0.0000064744245,0.00005382357,0.00004887162,0.00004851396,2.0292208e-7,0.000017347022,1.15186694e-7,0.0001635441],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997181,0.0000038014377,0.0000690759,0.00007519282,0.00005676044,0.00007705982],"domain_scores_gemma":[0.9998218,0.00008852192,0.000020208638,0.000012008775,0.000015163285,0.00004231446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011648227,0.00003112258,0.000065623644,0.000014256013,0.000032740478,0.000009976668,0.000027983177,0.00002582016,0.000023594457],"category_scores_gemma":[0.000016231726,0.000011707164,0.00002240327,0.00024888362,0.0000050116764,0.000008706205,0.000012348128,0.000018861918,0.0000015356347],"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":[0.000013622366,0.000011599853,0.12309987,6.6769513e-7,0.000012870944,7.216624e-7,0.00006876213,0.0000107782835,0.86647344,0.0000058285186,0.00013256753,0.010169265],"study_design_scores_gemma":[0.000013244718,0.00014779877,0.9669389,0.0000060850266,0.00002450002,0.0000019136394,0.00021575953,0.00016577066,0.031674627,0.0000105429,0.00076163776,0.000039191764],"about_ca_topic_score_codex":0.00061066455,"about_ca_topic_score_gemma":0.0031592858,"teacher_disagreement_score":0.84383905,"about_ca_system_score_codex":0.0000028127595,"about_ca_system_score_gemma":4.7675525e-7,"threshold_uncertainty_score":0.17629555},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854887,0.000019543153,0.00032203022,0.0008212249,0.000023496976,0.00015059275,0.000018447428,8.5774224e-7,0.00009494948],"genre_scores_gemma":[0.99943787,0.000010147827,0.00047669778,0.000012692721,0.000015174687,0.000009815061,8.827671e-7,1.6229484e-7,0.00003653113],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99957955,0.0000063907796,0.00010237621,0.0001154308,0.00009024861,0.000105983025],"domain_scores_gemma":[0.9995142,0.00037006463,0.000056504723,0.000029942483,0.00001653894,0.000012703959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005952708,0.000027392283,0.00004509514,0.000007908041,0.00012625367,0.000015227981,0.00018429295,0.000011428777,0.0000024200697],"category_scores_gemma":[0.0002315341,0.000007371202,0.000014395754,0.000087019886,0.00017576443,0.00005517594,0.00003989409,0.000009290731,6.800741e-8],"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":[0.000001946062,0.000008393007,0.013731197,0.0000053602566,3.0229006e-7,1.8373402e-8,0.00016702496,0.000004752254,0.9580726,0.00085710175,0.0000062796703,0.027145],"study_design_scores_gemma":[0.00008866328,0.00013627936,0.6134992,0.00008205723,0.0000051339302,0.0000013372899,0.00074345013,0.001053672,0.3810714,0.0028533898,0.00040751204,0.000057919242],"about_ca_topic_score_codex":0.00006692002,"about_ca_topic_score_gemma":0.000037725156,"teacher_disagreement_score":0.599768,"about_ca_system_score_codex":0.0000028235283,"about_ca_system_score_gemma":0.0000030615263,"threshold_uncertainty_score":0.09710539},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994644,0.000023757219,0.00011352539,0.00020025455,0.00006940616,0.000048139478,0.000047113,3.9380438e-7,0.000032997053],"genre_scores_gemma":[0.99955297,0.000017843111,0.00040083492,0.000003637679,0.000022044089,3.9218858e-7,4.400222e-7,1.3565672e-7,0.0000016828839],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996054,0.0000105277495,0.00016106639,0.000063168765,0.00007246131,0.00008734495],"domain_scores_gemma":[0.99957323,0.00010336507,0.00012664759,0.000009726927,0.000107254826,0.00007975726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006055571,0.000025767253,0.000066109365,0.000045304612,0.000049335566,0.000012436013,0.0000794549,0.000015646317,0.000011399532],"category_scores_gemma":[0.00007556635,0.000009963621,0.0000131263705,0.00013330218,0.00005890948,0.00011204739,0.0000036152685,0.000024375764,3.4221227e-8],"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":[0.000003707575,0.0000026656887,0.25009838,0.0000034409509,5.887407e-7,1.3632709e-7,0.000021869411,0.000014102222,0.73965216,0.00016552024,0.0000025573875,0.010034912],"study_design_scores_gemma":[0.000045275618,0.00013535495,0.9748035,0.00005546452,0.0000019022067,0.0000135136825,0.00010128411,0.00032773992,0.02403656,0.0001655878,0.00028964633,0.000024140187],"about_ca_topic_score_codex":0.0031042835,"about_ca_topic_score_gemma":0.05491422,"teacher_disagreement_score":0.72470516,"about_ca_system_score_codex":0.00004862298,"about_ca_system_score_gemma":0.00009555305,"threshold_uncertainty_score":0.9623311},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950772,0.00036826468,0.000003221673,0.0042554787,0.00010196456,0.000084000596,0.000014071658,0.000002922795,0.000092905895],"genre_scores_gemma":[0.99911284,0.0001783597,0.00051586865,0.000046608027,0.000077564386,0.000001403428,3.0226823e-7,2.262769e-7,0.00006680002],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991598,0.00001633878,0.00023240043,0.00017128249,0.00020450029,0.0002156442],"domain_scores_gemma":[0.99923027,0.0003498176,0.00014875141,0.000018904268,0.00013034613,0.00012189293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008690042,0.00007785777,0.0001418645,0.000016677044,0.00018465072,0.000095985284,0.0001862406,0.000034945217,0.0000073443925],"category_scores_gemma":[0.00028231397,0.000020004194,0.0000361474,0.00023845227,0.00017146113,0.000254793,0.000052121013,0.000060599217,2.312902e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018725746,0.000011502999,0.032389898,0.0000042397846,0.0000013375331,8.115853e-7,0.00012478314,3.5025198e-7,0.95883954,0.00009475981,0.00023673387,0.008277313],"study_design_scores_gemma":[0.00016501748,0.00021706944,0.9943541,0.00012845272,0.0000033173592,0.000030556417,0.0003625577,0.00000163535,0.0033363395,0.0004027127,0.00091281196,0.00008537755],"about_ca_topic_score_codex":0.000044467604,"about_ca_topic_score_gemma":0.00066929887,"teacher_disagreement_score":0.96196425,"about_ca_system_score_codex":0.000024769455,"about_ca_system_score_gemma":0.00000684581,"threshold_uncertainty_score":0.14202027},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867374,0.00041367864,0.00006349297,0.00031333818,0.000036152927,0.000029976962,0.000010368548,0.000003567519,0.00045571604],"genre_scores_gemma":[0.99934554,0.00041279086,0.00010549076,0.00004287522,0.00007342054,8.779998e-7,0.0000042622723,4.334777e-7,0.000014326505],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99955785,0.000014132156,0.00014523866,0.00010227473,0.00006292623,0.000117554824],"domain_scores_gemma":[0.99973404,0.00007275318,0.00008042084,0.000026612832,0.000011616939,0.00007456369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009915406,0.000074411066,0.00012327581,0.000046896166,0.0001580266,0.000039079176,0.00008269539,0.000026781008,0.0002773851],"category_scores_gemma":[0.0000046440764,0.000028202609,0.000114167386,0.00014727967,0.00002160153,0.000049667484,0.000024152347,0.000115595925,0.0000034675434],"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":[0.000058965412,0.00014127139,0.35394147,0.0000026075936,0.00088235416,0.0000057268203,0.00036408854,0.002725664,0.57589173,0.00034102466,0.00005081705,0.06559426],"study_design_scores_gemma":[0.00017685442,0.00027287815,0.97214407,0.000047669026,0.0002620755,0.000040353487,0.0007122964,0.000112738984,0.018508293,0.0021744927,0.005356683,0.00019162081],"about_ca_topic_score_codex":0.00014592422,"about_ca_topic_score_gemma":0.00043650658,"teacher_disagreement_score":0.61820257,"about_ca_system_score_codex":0.000013456119,"about_ca_system_score_gemma":0.0000027118494,"threshold_uncertainty_score":0.30371723},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970659,0.0009288691,0.0008331573,0.00018226831,0.00008754547,0.00030504615,0.0005677658,0.00001043927,0.000019012687],"genre_scores_gemma":[0.99297607,0.004089588,0.0026934354,0.00003742056,0.000117880554,0.000010742722,0.00004652866,0.0000037657173,0.000024583569],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987031,0.00008749698,0.00048516435,0.00035075788,0.00015144028,0.00022199468],"domain_scores_gemma":[0.998965,0.00032675956,0.0003536995,0.000082892366,0.00016657288,0.0001050577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003504982,0.00017138592,0.00029191482,0.00002514026,0.00017911568,0.00003079336,0.00014393494,0.0001376441,0.000011273773],"category_scores_gemma":[0.00003971169,0.000082497456,0.000063629006,0.00010375353,0.00009501161,0.000043327313,0.000100594356,0.000038942304,5.214085e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049126058,0.000042366406,0.0041628326,0.00008500806,0.00001409525,7.29346e-8,0.00022693643,0.000005496716,0.94821715,0.000023275254,0.000008067608,0.047165554],"study_design_scores_gemma":[0.00024399918,0.00023106007,0.61267394,0.000024896553,0.000025923679,0.0000023989978,0.000021677095,0.00009337301,0.38481012,0.00038398406,0.0013446464,0.00014399103],"about_ca_topic_score_codex":0.000013034662,"about_ca_topic_score_gemma":0.000049664202,"teacher_disagreement_score":0.6085111,"about_ca_system_score_codex":0.000013871961,"about_ca_system_score_gemma":0.000013485981,"threshold_uncertainty_score":0.33641484},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99616015,0.0014509554,0.0011030681,0.000017943585,0.00003593124,0.00010988231,0.000027497932,0.000004861447,0.0010897019],"genre_scores_gemma":[0.9976308,0.00013044849,0.0021451833,0.000004583343,0.000039855127,0.000005012601,0.0000053767058,5.942217e-7,0.000038165985],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999378,0.000034485605,0.00020381025,0.00013919434,0.00011590521,0.00012857048],"domain_scores_gemma":[0.99966043,0.00007958366,0.0001321182,0.000031778516,0.000063983076,0.000032089352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015414921,0.000073297,0.00014060902,0.000016413129,0.00009893852,0.000028814473,0.000062688756,0.00004910723,0.00003552496],"category_scores_gemma":[0.000011650577,0.00003198448,0.00005713734,0.00011115352,0.000049170845,0.00002012172,0.000013848741,0.00002572363,9.693158e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008626947,0.000021813752,0.030975526,0.000036246416,0.000019732195,1.670775e-7,0.000074631025,0.0014248958,0.95959854,0.0019866745,0.000038659655,0.0058144666],"study_design_scores_gemma":[0.00015491893,0.0004211986,0.9813357,0.000031674295,0.000043652468,0.0000062456493,0.0013096537,0.002995255,0.007107113,0.002537549,0.003945198,0.00011186908],"about_ca_topic_score_codex":0.0002325042,"about_ca_topic_score_gemma":0.000085062835,"teacher_disagreement_score":0.95249146,"about_ca_system_score_codex":0.000005587659,"about_ca_system_score_gemma":0.000010200268,"threshold_uncertainty_score":0.13042893},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971322,0.0008920459,0.00004913025,0.0005522221,0.000031156134,0.00005291852,0.0002907814,0.000009819468,0.0009897159],"genre_scores_gemma":[0.99897397,0.00023386868,0.0003009448,0.000012591615,0.00003741361,0.000003194765,0.000024873667,4.6222584e-7,0.00041265652],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993672,0.000026498778,0.00021095696,0.00014111467,0.00013503125,0.000119210854],"domain_scores_gemma":[0.99962306,0.00010610985,0.00012540989,0.00004994305,0.000055134635,0.000040344625],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012294968,0.0000711785,0.00022777569,0.000037107002,0.00004396412,0.0000058775945,0.00013841203,0.000054847562,0.0010564981],"category_scores_gemma":[0.000016031014,0.000021735286,0.00018284963,0.00043733366,0.00003402886,0.000021562968,0.000026299927,0.000021136268,0.0000074274635],"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":[0.00001085313,0.000036840862,0.11216005,0.0000031257184,0.0005929311,3.8945296e-7,0.000057578578,0.00014594923,0.80178696,0.00019119577,0.00017932936,0.08483483],"study_design_scores_gemma":[0.000054955155,0.00014722854,0.97448945,0.000009082903,0.00054820464,5.4671887e-7,0.0000430716,0.00007286942,0.01271548,0.00018961033,0.011652221,0.00007730197],"about_ca_topic_score_codex":0.00013526685,"about_ca_topic_score_gemma":0.00074251264,"teacher_disagreement_score":0.86232936,"about_ca_system_score_codex":0.0000036505874,"about_ca_system_score_gemma":0.0000040244586,"threshold_uncertainty_score":0.99985665},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985836,0.00008829956,0.00005678152,0.00076876045,0.00022888866,0.000045580273,0.000043331165,0.0000028230188,0.00018193235],"genre_scores_gemma":[0.99971837,0.000021229735,0.000052972242,0.000045359964,0.000098568824,3.9409989e-7,5.830914e-7,3.8586143e-7,0.000062138344],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989704,0.000017922246,0.00023607853,0.00017538523,0.00021888898,0.00038135322],"domain_scores_gemma":[0.9992359,0.00012903458,0.00012893644,0.00003017136,0.000092625196,0.0003832948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008488403,0.000075396456,0.00013540177,0.00023141626,0.00020227782,0.0000826223,0.00040460323,0.000042770378,0.00021515794],"category_scores_gemma":[0.00018830338,0.000026879214,0.00005429002,0.0015436764,0.000093010574,0.0001816729,0.000015740474,0.00010200307,0.000006321419],"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":[0.0000070412398,0.0000056228396,0.22457145,8.8658743e-7,0.0000052197256,0.000034908786,0.000055198474,0.000041898977,0.76926124,0.00004139086,0.000038038866,0.0059371144],"study_design_scores_gemma":[0.000080495025,0.00041116335,0.97563946,0.0000874677,0.000029552473,0.0001498906,0.00011710154,0.0005146774,0.021655438,0.000054249555,0.0011177305,0.00014275548],"about_ca_topic_score_codex":0.0072634737,"about_ca_topic_score_gemma":0.18866634,"teacher_disagreement_score":0.75106806,"about_ca_system_score_codex":0.000111368565,"about_ca_system_score_gemma":0.0002694973,"threshold_uncertainty_score":0.99934727},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99895084,0.000033594424,0.00014216165,0.00040388078,0.00026398464,0.00005775801,0.00010235471,0.0000013364511,0.00004409898],"genre_scores_gemma":[0.9983016,0.0000035222217,0.0015258348,0.000023108783,0.00012781129,5.831141e-7,0.0000031567613,4.1442735e-7,0.0000139241465],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992468,0.000021775588,0.00025976173,0.000103728424,0.00014269643,0.00022526066],"domain_scores_gemma":[0.99930215,0.00015694392,0.00022151753,0.000014637977,0.00014857856,0.00015616094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008018825,0.00005281814,0.000111901165,0.00007846975,0.00017563597,0.00007828478,0.00017631374,0.00003135029,0.00002874043],"category_scores_gemma":[0.00023848249,0.000020823454,0.000027097227,0.00037517928,0.000052438554,0.0003448336,0.0000048739403,0.00004322845,2.6157443e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069283888,0.0000031384861,0.17352815,0.000005241235,9.4580986e-7,0.000004144323,0.0001074421,0.00006252572,0.80636775,0.00012331421,0.00008287507,0.019707514],"study_design_scores_gemma":[0.0001708066,0.00015391422,0.9811528,0.00047179413,0.0000044262615,0.000110541856,0.00015805845,0.0038983205,0.012030957,0.0008921897,0.0008420246,0.000114192764],"about_ca_topic_score_codex":0.0031049524,"about_ca_topic_score_gemma":0.049143035,"teacher_disagreement_score":0.80762464,"about_ca_system_score_codex":0.00006916219,"about_ca_system_score_gemma":0.00014536102,"threshold_uncertainty_score":0.9682076},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851281,0.0001323596,0.000006010199,0.0003399291,0.00013078646,0.00006313048,0.000033331464,0.000017901066,0.014148436],"genre_scores_gemma":[0.9979497,0.0000144911,0.00031419474,0.0001926152,0.00022824845,0.0000016343653,0.000020873556,2.9797795e-7,0.0012779122],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99948233,0.000011956742,0.000107810876,0.00009148458,0.000106516956,0.00019989436],"domain_scores_gemma":[0.99973565,0.00007394711,0.000024729217,0.000027898986,0.000027479913,0.00011026727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013787005,0.00006520739,0.00009138044,0.0000068125155,0.000044942186,0.000011855126,0.000101279154,0.00003961664,0.00089520816],"category_scores_gemma":[0.000018114535,0.000019916622,0.000039347902,0.0001247196,0.000009026517,0.00003848942,0.000049322065,0.000030151774,0.000043078027],"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":[0.000009752753,0.000028765866,0.17495719,0.0000027480792,0.000005470788,4.1672897e-7,0.00010742284,0.0000030139224,0.7768547,0.0006198892,0.0021788424,0.045231823],"study_design_scores_gemma":[0.000041417246,0.00027810017,0.8582167,0.000010971783,0.000009189582,0.000009078551,0.0004067139,0.0000151544755,0.10612943,0.0000632399,0.0346734,0.00014662741],"about_ca_topic_score_codex":0.00033267614,"about_ca_topic_score_gemma":0.00021678266,"teacher_disagreement_score":0.6832595,"about_ca_system_score_codex":0.000003313738,"about_ca_system_score_gemma":8.597518e-7,"threshold_uncertainty_score":0.98019016},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99889445,0.00003843891,5.8022454e-7,0.00043774527,0.00001730926,0.000324333,0.00011211528,0.000006102443,0.0001689423],"genre_scores_gemma":[0.99970835,0.00008648842,0.000028862547,0.000005439201,0.000028733031,0.00001866621,0.00001930163,6.9494286e-7,0.000103438506],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99789286,0.0004841581,0.00033459652,0.00032897055,0.0005103423,0.00044905813],"domain_scores_gemma":[0.9990568,0.00068199856,0.00004877473,0.000061401035,0.00005200038,0.00009898152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016116777,0.00010145472,0.00019300183,0.000026514776,0.000080949474,0.000016392878,0.00024353838,0.00012893025,0.00024728547],"category_scores_gemma":[0.0004953162,0.000030888503,0.000046316054,0.00036990334,0.00013665562,0.00008005765,0.00013212157,0.00021800002,0.000021191869],"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":[0.00003552825,0.00011858291,0.4206906,0.000005771116,0.0000018191814,0.0000033014435,0.00026734895,8.902236e-7,0.56767493,0.000009668084,0.000018126373,0.011173433],"study_design_scores_gemma":[0.00030942986,0.00009958819,0.8934264,0.000051562,9.230661e-7,5.9792984e-7,0.0009586817,0.0000094882525,0.10443005,0.00008663359,0.0005395484,0.00008709099],"about_ca_topic_score_codex":0.0016226242,"about_ca_topic_score_gemma":0.011644415,"teacher_disagreement_score":0.47273582,"about_ca_system_score_codex":0.0000758548,"about_ca_system_score_gemma":0.000006980834,"threshold_uncertainty_score":0.6497857},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851465,0.0002671386,0.000011585824,0.0008771837,0.0000947624,0.00006722734,0.00005923558,8.724423e-7,0.00010731742],"genre_scores_gemma":[0.9991329,0.00022967508,0.00040535955,0.00001002893,0.00005239046,6.36776e-7,0.0000037746397,2.054563e-7,0.00016506361],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99922144,0.000008844809,0.00027914482,0.00012465696,0.00023858837,0.00012732534],"domain_scores_gemma":[0.9988531,0.0000988,0.0007723412,0.00004281431,0.00015795582,0.000075015305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049923616,0.0000676696,0.00020234483,0.000024197638,0.0002617057,0.000072772935,0.0003566223,0.00003235799,0.00002254795],"category_scores_gemma":[0.00014324528,0.000022333434,0.000108168955,0.00016656234,0.00015849348,0.00021141613,0.000055162094,0.000056637826,1.2266159e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029557175,0.000019981631,0.003890175,0.0000041185626,0.000033830464,1.5234734e-7,0.00007353893,0.000016809467,0.99127203,0.00001251591,0.0003618458,0.004285463],"study_design_scores_gemma":[0.00008269097,0.0003194618,0.95645016,0.000031107043,0.0001203994,0.000004614658,0.0005343332,0.000082242455,0.040031914,0.000017879798,0.0022487796,0.00007642387],"about_ca_topic_score_codex":0.00016962866,"about_ca_topic_score_gemma":0.0002885077,"teacher_disagreement_score":0.95256,"about_ca_system_score_codex":0.00001786041,"about_ca_system_score_gemma":0.0000054109414,"threshold_uncertainty_score":0.2012855},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984203,0.00017403306,0.0000030777296,0.001011331,0.00013843337,0.00010584624,0.0000148074105,0.0000025394545,0.0001296593],"genre_scores_gemma":[0.9995164,0.000038725782,0.00022959363,0.00002499007,0.00015001958,0.0000017892405,0.0000014447269,2.3500559e-7,0.000036772588],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990372,0.00001069224,0.00025628135,0.00017397956,0.0002844538,0.0002374051],"domain_scores_gemma":[0.99925345,0.00010521379,0.0003260889,0.000024788022,0.0001434684,0.00014698548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005707668,0.00009506004,0.00021195078,0.000035746783,0.0005029735,0.0003057254,0.0005065998,0.000032560543,0.000018324643],"category_scores_gemma":[0.00013430296,0.000029937763,0.00010778724,0.0002530375,0.00007909205,0.00040274425,0.00008823194,0.0000835076,5.5734205e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016317379,0.000035866386,0.009992206,0.0000012576916,0.000014091603,0.0000030861436,0.0001005775,0.000060863236,0.9876887,0.000056373658,0.000023608754,0.0020070602],"study_design_scores_gemma":[0.000163455,0.00020000592,0.9411539,0.000023691446,0.00002525217,0.00003748837,0.00035072898,0.00043807577,0.057395283,0.000020616602,0.000095517586,0.0000960259],"about_ca_topic_score_codex":0.00012217334,"about_ca_topic_score_gemma":0.0001919021,"teacher_disagreement_score":0.93116164,"about_ca_system_score_codex":0.000028288483,"about_ca_system_score_gemma":0.000007846349,"threshold_uncertainty_score":0.38685164},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99905574,0.00020450396,0.0000012064222,0.0005201732,0.000087371016,0.00007530317,0.0000058261235,0.000001764286,0.000048130572],"genre_scores_gemma":[0.99938565,0.00022357062,0.0003207658,0.000007686402,0.000056366443,3.2979756e-7,6.967043e-7,2.2843203e-7,0.0000046756186],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991535,0.000022942744,0.00025767373,0.00015044404,0.0002716381,0.0001438278],"domain_scores_gemma":[0.9991282,0.00008765413,0.0004264035,0.000032711374,0.00022836162,0.0000966418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048541938,0.00008152809,0.0001740134,0.00001745631,0.0003067055,0.00016402695,0.000256215,0.00003901535,0.0000058503542],"category_scores_gemma":[0.00009460287,0.000025627303,0.000022080088,0.00016673566,0.00021807755,0.00036091608,0.000079946476,0.00011175419,1.5901543e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001711727,0.00001763716,0.40994754,0.000004202998,0.0000015026972,0.0000016438794,0.00010157134,0.0000682394,0.5868648,0.000013293272,0.0000059606928,0.0029564565],"study_design_scores_gemma":[0.00016912329,0.00035265516,0.9937659,0.00008177664,0.0000056403574,0.00008408204,0.00020385117,0.00025332056,0.004945533,0.000047855403,0.000016595488,0.00007369223],"about_ca_topic_score_codex":0.00007562723,"about_ca_topic_score_gemma":0.00021739697,"teacher_disagreement_score":0.5838183,"about_ca_system_score_codex":0.0000135096325,"about_ca_system_score_gemma":0.000008122236,"threshold_uncertainty_score":0.23589619},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988137,0.00010188213,0.0000011406565,0.0002469511,0.00009060619,0.000027170952,0.000051390987,6.1315376e-7,0.0006665715],"genre_scores_gemma":[0.999665,0.000030591054,0.00010689317,0.0000665682,0.000029409368,2.5305286e-7,0.00000146662,1.7417642e-7,0.00009962672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949765,0.000007860136,0.000121155026,0.00008164441,0.00010532138,0.00018635456],"domain_scores_gemma":[0.99951476,0.000060314924,0.000059117545,0.00001719288,0.00001519731,0.00033342224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003153686,0.000042202028,0.000058341975,0.000052759926,0.0001467375,0.000051360308,0.00022669884,0.00001987289,0.00008809126],"category_scores_gemma":[0.0000825216,0.00001775993,0.000010637023,0.00019502638,0.00015037748,0.00014743405,0.000009649023,0.000066247114,0.0000032304793],"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":[0.0000028514999,0.000017222214,0.8042848,0.0000012477055,0.0000016788675,0.00009926239,0.0009495936,0.0000059456665,0.17811383,0.0005800694,0.00032234887,0.015621166],"study_design_scores_gemma":[0.00003399216,0.00006945875,0.9918344,0.000021303855,0.0000020506138,0.00010982279,0.00032029502,0.00003865226,0.0012864247,0.00016519504,0.0060635903,0.000054824955],"about_ca_topic_score_codex":0.09500008,"about_ca_topic_score_gemma":0.64045393,"teacher_disagreement_score":0.54545385,"about_ca_system_score_codex":0.00003551273,"about_ca_system_score_gemma":0.000114783026,"threshold_uncertainty_score":0.9110264},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965299,0.00043594028,0.000010706422,0.0002002981,0.000026657357,0.00012485657,0.00012055826,0.00001005929,0.0025410464],"genre_scores_gemma":[0.9990268,0.00012601633,0.00061883975,0.00003169356,0.00003663457,0.0000052412083,0.00005432741,7.1086464e-7,0.00009978798],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988512,0.00010650705,0.00025208315,0.0002994098,0.00019113056,0.0002996798],"domain_scores_gemma":[0.9994875,0.00018483328,0.0000714295,0.00007940161,0.000092256894,0.00008457775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006249772,0.00010029075,0.00026549882,0.00010236261,0.000110795096,0.000030314823,0.0002450305,0.00007240932,0.00054432446],"category_scores_gemma":[0.000027430977,0.000045916247,0.00006376787,0.0012241232,0.00014722739,0.00004259381,0.00013709038,0.000114011695,0.000013825551],"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":[0.00010198509,0.00018824631,0.4809062,0.000021308304,0.0001878483,0.000015036713,0.00073751167,0.0000126415325,0.49123728,0.0031531744,0.00047003804,0.022968728],"study_design_scores_gemma":[0.000108119726,0.0001359822,0.9919783,0.000024338411,0.00003220284,0.0000017579647,0.00019347618,0.00054485933,0.0016077067,0.0003500409,0.00489351,0.00012970224],"about_ca_topic_score_codex":0.005226985,"about_ca_topic_score_gemma":0.0034761326,"teacher_disagreement_score":0.5110721,"about_ca_system_score_codex":0.000010762846,"about_ca_system_score_gemma":0.0000061154033,"threshold_uncertainty_score":0.7901672},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787647,0.00008701572,0.000003220696,0.0017309838,0.00017935272,0.000058327787,0.000021200663,0.0000037101008,0.00003973746],"genre_scores_gemma":[0.99929225,0.00015576211,0.0003307413,0.000023447781,0.00018338356,5.257763e-7,0.0000025627558,2.7741507e-7,0.000011030573],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99911934,0.000025219486,0.0002558189,0.00014813888,0.00028615227,0.00016535763],"domain_scores_gemma":[0.9990431,0.000099736004,0.0004063645,0.000039877003,0.00026063176,0.00015030622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002952411,0.00008704001,0.00017889161,0.000015052081,0.0006520511,0.00021156055,0.00027912224,0.00005119056,0.000015679205],"category_scores_gemma":[0.000119055265,0.000028773302,0.000046838828,0.000118389515,0.0004172041,0.00040541307,0.000103396786,0.00011330313,4.0249955e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010854927,0.0000246075,0.0807993,0.000004657351,0.0000059969407,0.0000014197994,0.000033175354,0.000013532901,0.91672355,0.00022514875,0.000024238807,0.0021335434],"study_design_scores_gemma":[0.00015841438,0.000211075,0.95965034,0.00003328873,0.000017380988,0.00019564037,0.00042871144,0.000029871375,0.03794795,0.0012359165,0.000017091557,0.0000743386],"about_ca_topic_score_codex":0.00014882752,"about_ca_topic_score_gemma":0.000110465124,"teacher_disagreement_score":0.87885106,"about_ca_system_score_codex":0.000017737786,"about_ca_system_score_gemma":0.000013355063,"threshold_uncertainty_score":0.50151163},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99664545,0.00012417634,0.0017102768,0.00026322078,0.0006283932,0.00009771559,0.00017275463,0.000012982325,0.00034501252],"genre_scores_gemma":[0.9938402,0.0000528333,0.0059368634,0.0000160594,0.00008301071,0.000001635526,0.000040218925,8.262219e-7,0.00002834172],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985319,0.0000305548,0.00024442188,0.0003875885,0.0003908885,0.0004146412],"domain_scores_gemma":[0.99952954,0.000047800408,0.0001210255,0.00012190936,0.000046139565,0.00013360895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005502142,0.00012934071,0.00023362695,0.000036466976,0.0007479698,0.00017566679,0.00088002736,0.00007711305,0.000010182424],"category_scores_gemma":[0.00012561363,0.00005958541,0.000046091423,0.00014537525,0.00025973227,0.00018000152,0.00020568569,0.00016417318,0.0000011710815],"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":[0.00003746663,0.00005284637,0.48663518,0.000010618692,0.000005146946,0.000006236451,0.00011370671,0.000233122,0.4950718,0.00005036751,0.0005270093,0.017256515],"study_design_scores_gemma":[0.00016681677,0.00009260746,0.21777011,0.0000965321,0.000009113352,0.000009462609,0.00018908035,0.76038677,0.02002486,0.00078633457,0.00019864831,0.0002696949],"about_ca_topic_score_codex":0.0006674206,"about_ca_topic_score_gemma":0.0010258842,"teacher_disagreement_score":0.7601536,"about_ca_system_score_codex":0.00002511557,"about_ca_system_score_gemma":0.000019710993,"threshold_uncertainty_score":0.57528543},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493504,0.00003642942,0.00006124364,0.0021881731,0.00028190485,0.00055111246,0.00010028628,0.000112230526,0.0017335885],"genre_scores_gemma":[0.9990687,0.00002035105,0.00010574482,0.00048939587,0.00018412885,0.000048457405,0.00005344502,0.000002502466,0.000027298107],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976131,0.0005376149,0.00042191133,0.0005706498,0.00032985807,0.0005268989],"domain_scores_gemma":[0.9983175,0.00075675343,0.0002862747,0.0004105218,0.00012281076,0.00010616779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017095656,0.0002826585,0.00034047305,0.00002301784,0.00075716065,0.0002636811,0.0010468783,0.0003772599,0.00039501293],"category_scores_gemma":[0.0009780207,0.00009671332,0.000106813255,0.0001938998,0.00020465117,0.000042083615,0.00018543421,0.0004320013,0.00015216379],"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":[0.0003110641,0.00034413172,0.33996662,0.000047091227,0.00005619086,0.00023931508,0.000057615478,0.00074065954,0.59833217,0.0034485627,0.00032944497,0.056127142],"study_design_scores_gemma":[0.00018746564,0.00015655228,0.98007905,0.0000738659,0.000020796717,0.000012137631,0.000057900175,0.017404417,0.0008075538,0.00072804705,0.00022399743,0.00024823163],"about_ca_topic_score_codex":0.00042810244,"about_ca_topic_score_gemma":0.00017642809,"teacher_disagreement_score":0.6401124,"about_ca_system_score_codex":0.00009713548,"about_ca_system_score_gemma":0.000026962987,"threshold_uncertainty_score":0.5823544},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977572,0.00026119163,7.7522293e-7,0.0012184636,0.00019244736,0.000039998347,0.0000065043614,0.0000028702827,0.0005205324],"genre_scores_gemma":[0.9996248,0.00013545912,0.000078387064,0.000014960086,0.00010650414,3.108835e-7,2.734947e-7,3.4523472e-7,0.000038997354],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988158,0.000014193772,0.00034982726,0.00015914578,0.00043735254,0.00022369773],"domain_scores_gemma":[0.9990139,0.000056091674,0.0004921768,0.000037079066,0.00028594976,0.00011480345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074538327,0.00009603455,0.0001966327,0.000027875318,0.00028385327,0.00018222578,0.0006442738,0.000057109595,0.000026296462],"category_scores_gemma":[0.00018176452,0.000031753058,0.000051262472,0.0002582861,0.00017590237,0.00050911424,0.0001334378,0.00018251577,6.501629e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041259154,0.000016236014,0.19703044,0.0000042710785,0.0000025433794,0.0000076246592,0.00013317616,0.000021475818,0.75970006,0.000025745076,0.000029879126,0.043024447],"study_design_scores_gemma":[0.00008482943,0.00012743472,0.99265575,0.00018024784,0.0000043175296,0.00008118442,0.0003328569,0.000021917558,0.0062843948,0.00004189422,0.0000910402,0.00009409944],"about_ca_topic_score_codex":0.0005403081,"about_ca_topic_score_gemma":0.0015161593,"teacher_disagreement_score":0.7956253,"about_ca_system_score_codex":0.00002106853,"about_ca_system_score_gemma":0.000013453254,"threshold_uncertainty_score":0.21831985},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763536,0.0000681287,0.000088225665,0.001029294,0.0005406734,0.00014940025,0.0003983447,0.000003338151,0.0000872246],"genre_scores_gemma":[0.99922353,0.000005752177,0.0003423617,0.000031851006,0.00030584267,0.0000026018952,0.00003746441,0.0000030133913,0.000047578556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9984119,0.000055698834,0.00085368985,0.00022979634,0.00002576638,0.00042316166],"domain_scores_gemma":[0.9974052,0.00022588784,0.001300583,0.000119858254,0.00021348827,0.0007349946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005274217,0.00020809763,0.000491187,0.00010086631,0.00040555434,0.00014716398,0.00057080353,0.0001524447,0.00021557744],"category_scores_gemma":[0.0002877944,0.00011495355,0.0002109228,0.00006707267,0.00014070419,0.00041358217,0.0000312874,0.00017859624,0.0000031790678],"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":[0.0041851937,0.00014823585,0.070308775,0.00024172921,0.001292189,0.00017978024,0.0061083906,0.5198763,0.12573817,0.011795862,0.0008690174,0.25925633],"study_design_scores_gemma":[0.0005818803,0.0013889591,0.9840959,0.00020415113,0.00011081333,0.00046982316,0.0009930555,0.007927145,0.001608825,0.0019140862,0.0002955399,0.00040987125],"about_ca_topic_score_codex":0.0066735204,"about_ca_topic_score_gemma":0.27577642,"teacher_disagreement_score":0.91378707,"about_ca_system_score_codex":0.00026954137,"about_ca_system_score_gemma":0.00025841125,"threshold_uncertainty_score":0.9999411},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957445,0.00016344729,0.0001539354,0.0015140395,0.00026500036,0.00009394919,0.0017848219,0.000007745054,0.00027255467],"genre_scores_gemma":[0.99569964,0.00014544227,0.0035138228,0.00009207264,0.0001816339,0.0000019379836,0.000058016976,0.0000019468562,0.00030550302],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969086,0.00031678905,0.0008101684,0.0004167352,0.001031391,0.0005163279],"domain_scores_gemma":[0.99659693,0.0010947966,0.001427452,0.00023105093,0.00034204096,0.0003077196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020768861,0.00026692764,0.0009082806,0.0002447454,0.0005949892,0.00026573753,0.0016511392,0.00007664782,0.0004951207],"category_scores_gemma":[0.00038531443,0.00010505311,0.00034713896,0.00075977674,0.0012226829,0.00025893658,0.00023521182,0.0001838349,0.000018674431],"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":[0.0013428836,0.00012828501,0.08767495,0.000004343245,0.0005193781,0.000013508056,0.0031204594,0.0012400453,0.89595664,0.000051687886,0.0010365166,0.008911319],"study_design_scores_gemma":[0.00032937003,0.0029722655,0.94216233,0.00030012036,0.0009520255,0.00008129479,0.0051924684,0.00015883017,0.017182907,0.00047242417,0.02943598,0.0007599615],"about_ca_topic_score_codex":0.0033217904,"about_ca_topic_score_gemma":0.0068435296,"teacher_disagreement_score":0.8787737,"about_ca_system_score_codex":0.000023315923,"about_ca_system_score_gemma":0.00005363439,"threshold_uncertainty_score":0.5421224},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993431,0.000054430806,0.0000044215367,0.00029950408,0.00005107725,0.00014513503,0.000021415548,7.694505e-7,0.00008013187],"genre_scores_gemma":[0.9959061,0.000059391954,0.0039796694,0.000007858401,0.000024315743,0.0000011443752,0.0000056903846,2.0680939e-7,0.000015613827],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99922925,0.000011558684,0.00031826127,0.00011442555,0.000207436,0.000119063225],"domain_scores_gemma":[0.9990226,0.00007967336,0.00055255677,0.000028133049,0.0002493881,0.0000676373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008566381,0.00006365789,0.00017036377,0.000022348107,0.0002834136,0.00014805136,0.00046228227,0.000026754298,0.000003621054],"category_scores_gemma":[0.0002334658,0.0000213102,0.000017474385,0.00014351185,0.00015320755,0.0004740535,0.0001799734,0.000053777716,4.4086566e-8],"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":[0.000040472092,0.000024974543,0.02645555,0.000011316016,0.0000034727664,5.4246885e-7,0.00027111906,0.000001542994,0.9657763,0.00017359045,0.000023589942,0.0072175255],"study_design_scores_gemma":[0.00024897535,0.00012022936,0.9102171,0.00009586764,0.0000040025475,0.000012228866,0.00053963764,0.000032294818,0.088492066,0.00008385078,0.00009596141,0.000057807247],"about_ca_topic_score_codex":0.00014791185,"about_ca_topic_score_gemma":0.00013438934,"teacher_disagreement_score":0.8837615,"about_ca_system_score_codex":0.000013072814,"about_ca_system_score_gemma":0.000033465396,"threshold_uncertainty_score":0.21798168},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987752,0.000069773436,0.0000048933407,0.00014577428,0.00008234884,0.000065258144,0.000012719771,0.000004726946,0.00083932956],"genre_scores_gemma":[0.9997142,0.000014463297,0.0001978831,0.000026179374,0.00003187278,0.000001046223,9.1278184e-7,2.608041e-7,0.0000132095365],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991448,0.0000083940295,0.00017902869,0.0002284265,0.00021045333,0.00022889688],"domain_scores_gemma":[0.99959743,0.00008074053,0.00013838253,0.00006663153,0.000052711537,0.00006409739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095045764,0.00006115456,0.00011168374,0.00001506466,0.0006242989,0.00019096788,0.00045050165,0.000024134799,0.00002520725],"category_scores_gemma":[0.0002670729,0.00002643311,0.000019167712,0.000107553766,0.00030579872,0.00017171886,0.00024898467,0.00005300309,0.0000010995929],"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":[0.0000030138663,0.000004504776,0.35160187,0.0000038989665,3.405538e-7,2.559587e-7,0.000041599087,9.1125935e-7,0.6367317,0.000073399475,0.0000010681639,0.011537468],"study_design_scores_gemma":[0.000066975335,0.00005498531,0.92590755,0.000035508347,0.0000013692924,0.0000010410555,0.0001953063,0.0005211305,0.072688326,0.00039484524,0.000051359817,0.00008162619],"about_ca_topic_score_codex":0.0031224028,"about_ca_topic_score_gemma":0.0013146555,"teacher_disagreement_score":0.57430565,"about_ca_system_score_codex":0.0000092785085,"about_ca_system_score_gemma":0.000008562535,"threshold_uncertainty_score":0.48016652},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982792,0.000038764752,0.00007258831,0.00006656505,0.0005317552,0.00014246913,0.00012295808,0.0000031017855,0.00074256386],"genre_scores_gemma":[0.99627316,0.000041267744,0.0036196175,0.0000058127434,0.000018998493,0.0000022095196,0.000003636525,2.8764927e-7,0.000035009758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901974,0.00002830321,0.00024981206,0.00024617175,0.00024366293,0.00021229153],"domain_scores_gemma":[0.9995669,0.00008094136,0.0001843284,0.000070954266,0.00004707684,0.000049814178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008711298,0.000070659255,0.00018434713,0.00005191237,0.0001547716,0.000029188925,0.0005450369,0.000054893655,0.000016626214],"category_scores_gemma":[0.00026783327,0.000033758934,0.000024572602,0.00038401035,0.00032468175,0.00009624113,0.00006789529,0.00007176666,3.7350475e-7],"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":[0.000025795562,0.000036321067,0.83566195,0.000009375516,0.000001085186,0.0000027074238,0.00018196278,0.000089663095,0.15723401,0.000052798172,0.0003388103,0.0063655023],"study_design_scores_gemma":[0.00010778916,0.000094868556,0.986264,0.000048304744,0.0000022343934,0.000003840244,0.0001278941,0.008488261,0.0030352508,0.0016488957,0.00010561829,0.00007305075],"about_ca_topic_score_codex":0.0006913707,"about_ca_topic_score_gemma":0.001267686,"teacher_disagreement_score":0.15419875,"about_ca_system_score_codex":0.00002834893,"about_ca_system_score_gemma":0.000039991384,"threshold_uncertainty_score":0.13766493},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776655,0.000013687813,0.000116521354,0.00003269373,0.00046191702,0.00026274114,0.00015015878,0.000009523898,0.0011862111],"genre_scores_gemma":[0.9986797,3.845958e-7,0.0000050224708,0.0000021114538,0.000020501355,1.14134714e-7,0.00002792222,0.0000010267231,0.0012632435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989284,0.000092523485,0.00024355545,0.00016169134,0.00046112732,0.000112681315],"domain_scores_gemma":[0.99877024,0.0001598592,0.00063728896,0.00016705836,0.00021596723,0.00004959287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020189263,0.000100082616,0.00018274722,0.000012990869,0.00029919134,0.00009564848,0.00046765697,0.000055214718,0.000013937494],"category_scores_gemma":[0.00009362762,0.000042570642,0.00019743618,0.00008966315,0.0001931983,0.0002457489,0.000118369,0.00005470547,9.0793804e-7],"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":[0.00024288538,0.00012173082,0.8943223,0.00014332308,0.00008650353,0.0000068684476,0.000837363,0.0522549,0.035697225,0.000016714388,0.0006602337,0.015609987],"study_design_scores_gemma":[0.00039249886,0.00017556011,0.9084255,0.00046844577,0.00012040157,0.000006496682,0.0049532913,0.074313946,0.01058565,0.000019471796,0.0003975335,0.0001411973],"about_ca_topic_score_codex":0.0017989863,"about_ca_topic_score_gemma":0.0004828263,"teacher_disagreement_score":0.025111575,"about_ca_system_score_codex":0.000048455993,"about_ca_system_score_gemma":0.00011129793,"threshold_uncertainty_score":0.27195412},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993287,0.00010534284,0.000015945527,0.00022098057,0.00006211814,0.00007720626,0.00001579297,0.0000017451839,0.00017218378],"genre_scores_gemma":[0.9998023,0.00006279307,0.000060534014,0.00001004729,0.00004757525,6.84297e-7,0.0000037153218,2.6211862e-7,0.00001212397],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993337,0.000010776252,0.00023201511,0.000110869136,0.00021829347,0.00009437763],"domain_scores_gemma":[0.99897647,0.00021950646,0.00066658686,0.000015622378,0.000070835704,0.000050957962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008427935,0.000057749643,0.00019818298,0.000045760942,0.00047152553,0.00010809736,0.00013159987,0.000056815614,0.000010459894],"category_scores_gemma":[0.00014784311,0.000021765665,0.00005085751,0.0001651538,0.00006693062,0.00014927138,0.000021749789,0.00004936249,4.3154614e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037253063,0.000020251251,0.38930133,0.0000057195257,0.00005823487,5.4517614e-7,0.0001798279,0.00032610126,0.5592192,0.00027646942,0.00002303972,0.05055204],"study_design_scores_gemma":[0.000091132955,0.00016375113,0.9859354,0.000049566977,0.00013116462,0.0000018719506,0.00018805775,0.01038673,0.0025951257,0.00039624335,0.000010194323,0.00005076506],"about_ca_topic_score_codex":0.000058027545,"about_ca_topic_score_gemma":0.00040697356,"teacher_disagreement_score":0.5966341,"about_ca_system_score_codex":0.0000069528764,"about_ca_system_score_gemma":0.000005516997,"threshold_uncertainty_score":0.36266407},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493676,0.000100212004,0.000002537868,0.0033040098,0.0004966532,0.00007081441,0.000060050166,0.0000088478455,0.0010201327],"genre_scores_gemma":[0.99853337,0.000060291524,0.00028242246,0.00006210739,0.0005992512,7.869557e-7,0.0000085958645,4.349282e-7,0.0004527142],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99851125,0.000023146045,0.00034656696,0.0001765893,0.000613645,0.0003287868],"domain_scores_gemma":[0.9984583,0.000077302335,0.0007510911,0.000055195815,0.00044443933,0.0002136535],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00066203944,0.00012363716,0.00020478794,0.000014450192,0.0013645338,0.00070750114,0.0011038695,0.00007030749,0.000072655],"category_scores_gemma":[0.00026671842,0.000037350044,0.000125059,0.0002646516,0.00020483055,0.00076258153,0.00009651779,0.00017876309,0.000006627861],"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":[0.000004519224,0.00003647745,0.03180687,0.0000010004676,0.0000091672655,0.0000038391513,0.00010160387,0.000029490853,0.95761615,0.00003800704,0.0043126135,0.0060402458],"study_design_scores_gemma":[0.000104114835,0.00013997522,0.9878515,0.000024688736,0.00001494948,0.000042341057,0.00017570096,0.00003365469,0.008816162,0.000094553485,0.0025682189,0.00013411927],"about_ca_topic_score_codex":0.00025956682,"about_ca_topic_score_gemma":0.00032884898,"teacher_disagreement_score":0.9560447,"about_ca_system_score_codex":0.000049806316,"about_ca_system_score_gemma":0.000022634118,"threshold_uncertainty_score":0.99993557},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998237,0.00015684808,0.0000016358953,0.0007022068,0.00017548606,0.000050260132,0.000026847965,0.0000027149247,0.000646966],"genre_scores_gemma":[0.99945146,0.00012080827,0.00021997512,0.000017994505,0.00013570448,3.585411e-7,0.000004602646,2.505346e-7,0.00004887226],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998582,0.00002332025,0.00040158638,0.00017838636,0.0005533878,0.00026128886],"domain_scores_gemma":[0.99873525,0.00007814636,0.00071525713,0.00008728265,0.00024550082,0.00013855574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008656645,0.000102223275,0.00031318158,0.00008625487,0.00035000924,0.00023016716,0.0013648054,0.000044034754,0.00006578189],"category_scores_gemma":[0.00022440078,0.000030173564,0.00015650342,0.00091582,0.00021322533,0.00054005266,0.00017334393,0.00012406109,0.0000020565838],"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":[0.000012274639,0.000046192345,0.19675963,0.000002145127,0.00004267568,0.000006341426,0.00012131474,0.00014674745,0.79116756,0.00009151385,0.000066630164,0.011536987],"study_design_scores_gemma":[0.0000681147,0.00015730063,0.99142176,0.00003117451,0.00008084593,0.000016349119,0.00034463845,0.00009886364,0.00746151,0.000033770968,0.00019200037,0.00009367995],"about_ca_topic_score_codex":0.0005796836,"about_ca_topic_score_gemma":0.0033046182,"teacher_disagreement_score":0.7946621,"about_ca_system_score_codex":0.000032914533,"about_ca_system_score_gemma":0.000020613435,"threshold_uncertainty_score":0.26920235},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978327,0.00014566017,8.4722456e-7,0.00055233674,0.00021309477,0.00013944141,0.000006711977,0.000001100484,0.0011081077],"genre_scores_gemma":[0.99951065,0.00008577843,0.00021002977,0.000013423789,0.00014384517,9.947282e-7,0.0000015375181,2.38551e-7,0.000033516193],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982528,0.00006613126,0.0003894796,0.00014392646,0.000943439,0.00020423513],"domain_scores_gemma":[0.99857825,0.00007285498,0.0008230593,0.00004597493,0.00038906853,0.00009079755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004074311,0.00008373278,0.00018265603,0.000020025089,0.00034933735,0.00028983617,0.0011418697,0.000025431153,0.000049117705],"category_scores_gemma":[0.000608826,0.00002621079,0.000046989007,0.00021569504,0.000137392,0.00069467095,0.00018637622,0.00010534405,0.0000018405159],"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":[0.000008108838,0.000035900346,0.025051214,7.777326e-7,0.0000038243256,0.0000015122804,0.000047593912,0.00029464974,0.93243986,0.000026476304,0.000013390105,0.04207668],"study_design_scores_gemma":[0.00040619934,0.00009990646,0.9731116,0.00010410353,0.00002104809,0.000028990971,0.00023117894,0.0005444393,0.025027081,0.0002481059,0.000100520854,0.00007681267],"about_ca_topic_score_codex":0.00030007874,"about_ca_topic_score_gemma":0.00040660537,"teacher_disagreement_score":0.9480604,"about_ca_system_score_codex":0.00005921183,"about_ca_system_score_gemma":0.00003119778,"threshold_uncertainty_score":0.2794897},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99926347,0.000028333474,0.0000046305872,0.00041385303,0.00009905663,0.000029242225,0.0000045081324,0.0000015400267,0.00015534853],"genre_scores_gemma":[0.9996395,0.000020748885,0.0002165853,0.000016865999,0.00009002425,1.4727846e-7,9.4417817e-7,9.715964e-8,0.000015097054],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992826,0.00001888002,0.00026323218,0.000094936346,0.00021353835,0.00012680504],"domain_scores_gemma":[0.9993305,0.00007360682,0.00026110947,0.000015714022,0.00024261296,0.00007642772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004661129,0.000053092823,0.00014419502,0.0000638273,0.00008829201,0.00004212261,0.0002048044,0.000024779496,0.000026558697],"category_scores_gemma":[0.000072761766,0.000015688525,0.000055605273,0.0014725621,0.00017346675,0.00022885518,0.000046000907,0.00007201453,0.0000010454822],"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":[0.000006850682,0.00001824127,0.13175662,6.4501967e-7,0.0000132708865,7.302071e-7,0.00028129807,0.000017271906,0.86535126,0.000078946476,0.000010007394,0.0024648246],"study_design_scores_gemma":[0.000053977703,0.00017629887,0.9945238,0.000020424817,0.000027134236,0.00001599343,0.00036373068,0.00016237513,0.0045491424,0.000031632244,0.000029127203,0.00004631339],"about_ca_topic_score_codex":0.0001464478,"about_ca_topic_score_gemma":0.00037007855,"teacher_disagreement_score":0.8627672,"about_ca_system_score_codex":0.000015406382,"about_ca_system_score_gemma":0.0000071768754,"threshold_uncertainty_score":0.07075173},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07939694,0.9184068,0.000050210707,0.000032882443,0.000058178644,0.00045180193,0.00028547418,0.000020095295,0.0012976262],"genre_scores_gemma":[0.11580515,0.8829762,0.00029217562,0.000032889762,0.0002540984,0.000011010336,0.00061956735,0.0000033529004,0.0000055916366],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99844867,0.00006490066,0.0003936544,0.00061428244,0.00014992901,0.00032856272],"domain_scores_gemma":[0.99928176,0.000334548,0.00010558569,0.00014142635,0.00001537944,0.00012127241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004269391,0.00031283387,0.0005960785,0.000027005288,0.00012958434,0.00025122956,0.00041096352,0.00026821048,0.00006658637],"category_scores_gemma":[0.000017675038,0.0001234153,0.000034510176,0.00013898418,0.00038082848,0.000012872867,0.00049202924,0.00023697318,0.00001533423],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011932722,0.000025565412,0.000007612037,0.0003879835,0.000013768403,0.0000027019914,0.00006638038,0.0000073381702,0.00027462782,0.015894389,0.00001378048,0.9832939],"study_design_scores_gemma":[0.0005989153,0.00075129326,0.0048365137,0.0073198685,0.00082169863,0.00017210084,0.001874934,0.008675887,0.00010547745,0.05870289,0.9127958,0.0033446667],"about_ca_topic_score_codex":0.000006411877,"about_ca_topic_score_gemma":0.000047162,"teacher_disagreement_score":0.97994924,"about_ca_system_score_codex":0.000009538896,"about_ca_system_score_gemma":0.000018379696,"threshold_uncertainty_score":0.503273},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946146,0.000021013082,0.000014741845,0.003964463,0.00074333523,0.00023503964,0.00002716729,0.000010533086,0.00036909428],"genre_scores_gemma":[0.9986796,0.000010278975,0.00033447327,0.0002287659,0.00064699416,0.000006186057,0.0000027208162,4.4556688e-7,0.00009056989],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99863774,0.000024130335,0.00033230917,0.00019499024,0.0004483624,0.0003624534],"domain_scores_gemma":[0.99846226,0.00027165824,0.00025561763,0.00004994478,0.00074990053,0.00021059002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011762367,0.00011640979,0.00015607044,0.000022200062,0.0011286354,0.00022920914,0.0007673572,0.00004401196,0.0000643364],"category_scores_gemma":[0.0003529021,0.00003159625,0.000103757164,0.00078340445,0.00030674372,0.0003376963,0.000086912194,0.00014650998,0.000010961507],"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":[0.000021401887,0.00003204141,0.01459828,0.0000029081941,0.0000074559584,5.467406e-7,0.0003441466,0.00011842618,0.97705126,0.00011023353,0.0042583467,0.0034549641],"study_design_scores_gemma":[0.00007685237,0.0008110571,0.9774232,0.000054087617,0.000013015589,0.0000607926,0.00056439557,0.00011925954,0.015902925,0.00006377225,0.0047920984,0.00011854986],"about_ca_topic_score_codex":0.00006664003,"about_ca_topic_score_gemma":0.000511077,"teacher_disagreement_score":0.96282494,"about_ca_system_score_codex":0.000041554624,"about_ca_system_score_gemma":0.000024491328,"threshold_uncertainty_score":0.8680665},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982369,0.00006480976,0.00003030099,0.0006283361,0.00010497344,0.000027396192,0.00010678877,5.537112e-7,0.00079992216],"genre_scores_gemma":[0.9995166,0.000011592823,0.00020722578,0.0001283122,0.00010964522,9.2717976e-8,0.0000028258803,1.4724046e-7,0.000023576746],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992158,0.000016501479,0.00019834239,0.00009107511,0.00025064874,0.00022762279],"domain_scores_gemma":[0.9993876,0.0000988146,0.00012142382,0.00003434746,0.00010038009,0.00025739605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086302205,0.000050204064,0.00012348699,0.00014492882,0.00014861231,0.000069401874,0.00068388804,0.000026384536,0.0001250832],"category_scores_gemma":[0.00008339372,0.000016677137,0.000058553298,0.0016062929,0.00019080442,0.00012560202,0.000010058498,0.00008410161,0.0000011911897],"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":[0.00009395113,0.00007094544,0.27687192,0.0000067049154,0.00022181585,0.00036438444,0.021664944,0.04844888,0.58113515,0.005927175,0.023852,0.041342128],"study_design_scores_gemma":[0.00011898771,0.0006570811,0.95100904,0.000098431294,0.0001431364,0.00022250836,0.0036496262,0.030236188,0.0044551995,0.00077551784,0.0083967885,0.00023747147],"about_ca_topic_score_codex":0.028551616,"about_ca_topic_score_gemma":0.22970757,"teacher_disagreement_score":0.6741372,"about_ca_system_score_codex":0.00001980691,"about_ca_system_score_gemma":0.000246243,"threshold_uncertainty_score":0.9779173},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919707,0.00006960341,0.00009463391,0.0014015303,0.00022761292,0.00004655738,0.00012580906,0.0000046595874,0.00605888],"genre_scores_gemma":[0.99841666,0.0000648861,0.00047303826,0.000028012213,0.00072156766,2.981497e-7,0.000034530804,2.958774e-7,0.00026070254],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926573,0.00002174099,0.0003561499,0.000060143437,0.00020994277,0.0000862827],"domain_scores_gemma":[0.9991447,0.00008967183,0.0004630367,0.000030459129,0.00021811831,0.000054044613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029051214,0.000054883814,0.00011434348,0.000015911612,0.00009420538,0.00003302042,0.00013800239,0.000047716385,0.00012182239],"category_scores_gemma":[0.00006265781,0.000021439571,0.00006554034,0.00012501497,0.00005465914,0.00008426886,0.0000071299596,0.000071648916,0.0000040558148],"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":[0.000045546363,0.00007214003,0.004047051,0.0000061362052,0.000022338707,0.000010616766,0.00011139972,0.000011483183,0.9625621,0.0045152134,0.024099361,0.004496624],"study_design_scores_gemma":[0.00063420716,0.005412425,0.42101577,0.0003813302,0.00016654418,0.002039435,0.001512683,0.00067272026,0.12477986,0.006918823,0.43595243,0.0005137898],"about_ca_topic_score_codex":0.00007062436,"about_ca_topic_score_gemma":0.0009706306,"teacher_disagreement_score":0.83778226,"about_ca_system_score_codex":0.0000068018107,"about_ca_system_score_gemma":0.000023143913,"threshold_uncertainty_score":0.13338697},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836695,0.000020454434,0.000026514848,0.00048763928,0.00018939322,0.000085985295,0.000007834198,0.000008271741,0.0008069338],"genre_scores_gemma":[0.9983702,0.000019284013,0.00095966476,0.00010039637,0.0004886305,0.000001006069,0.0000015909071,3.743733e-7,0.000058862457],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987119,0.000010665973,0.00030397528,0.0002445628,0.00038397068,0.00034492687],"domain_scores_gemma":[0.99909353,0.000056365556,0.00022656212,0.00003982164,0.00029303442,0.0002906895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006961521,0.00012969176,0.00023050101,0.00005629955,0.00048869423,0.0002622768,0.0004992798,0.000035583056,0.00005556041],"category_scores_gemma":[0.000032805925,0.00003992713,0.000081380575,0.0015542707,0.00021314538,0.0002670761,0.00014976828,0.000104703235,0.000018108107],"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":[0.000025210373,0.000015115087,0.029816577,0.0000013112493,0.00002804564,8.585764e-7,0.00016081322,0.0002323422,0.9454274,0.000042417858,0.00015739958,0.024092512],"study_design_scores_gemma":[0.00008207212,0.0004247979,0.9878075,0.000011890447,0.000052000287,0.00006186507,0.00018183094,0.0003150312,0.010364717,0.000026123682,0.00053008203,0.00014210232],"about_ca_topic_score_codex":0.00009290127,"about_ca_topic_score_gemma":0.0002835992,"teacher_disagreement_score":0.9579909,"about_ca_system_score_codex":0.000040616094,"about_ca_system_score_gemma":0.000013992736,"threshold_uncertainty_score":0.37586904},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20571457,0.79321456,2.3988088e-7,0.0003506536,0.00022935939,0.00031839238,0.00002880511,0.0000034090915,0.00013998698],"genre_scores_gemma":[0.047952056,0.9517479,0.00004938421,0.000023666791,0.00017355,0.0000030384485,0.000006645098,5.8336116e-7,0.0000431589],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977762,0.00013547915,0.00087980856,0.00022596499,0.0007077175,0.00027483978],"domain_scores_gemma":[0.99734545,0.0003716725,0.0015764569,0.000026268868,0.00054286595,0.00013731113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002573743,0.00019931016,0.0009259037,0.00006210421,0.00012053198,0.0000671282,0.00044972732,0.00017366985,0.00001805036],"category_scores_gemma":[0.0009846389,0.00006263616,0.00021897031,0.0013316341,0.00015494792,0.00034903683,0.00006657575,0.0003329883,0.0000013951073],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006820307,0.000334832,0.006377296,0.01113304,0.00007391572,0.000013809439,0.00027905768,0.0000011500014,0.018346328,0.00016673314,0.008659059,0.95460796],"study_design_scores_gemma":[0.00015669064,0.00088068243,0.8355945,0.09251045,0.00036591664,0.00035164176,0.000103830425,0.0000035084734,0.00012332617,0.00010772733,0.069298275,0.0005034611],"about_ca_topic_score_codex":0.000098369725,"about_ca_topic_score_gemma":0.00028606053,"teacher_disagreement_score":0.9541045,"about_ca_system_score_codex":0.0001624471,"about_ca_system_score_gemma":0.00004730187,"threshold_uncertainty_score":0.25542283},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873099,0.000031496653,1.5683226e-7,0.00080062513,0.000043427335,0.00004557593,0.000006425169,0.0000029987684,0.011759441],"genre_scores_gemma":[0.99941117,0.0000871324,0.00019728004,0.000008895075,0.000016533071,1.6431985e-8,0.000005176711,2.2280331e-7,0.00027359065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970895,0.000019268562,0.00006381196,0.00007735573,0.00005209926,0.000078520454],"domain_scores_gemma":[0.9995062,0.00037601902,0.000041786876,0.000037686023,0.000011074457,0.000027261525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050896895,0.00003652505,0.00006648706,0.0000058478827,0.00006423921,0.000006637995,0.00022583731,0.00003947491,0.00020623686],"category_scores_gemma":[0.000009128829,0.000015891912,0.000033534034,0.000088925175,0.00009662703,0.000057808335,0.00009592051,0.00007679147,0.0000019287172],"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":[0.000034221073,0.000040071023,0.78605956,0.0000058753276,0.0000060727752,0.000001326872,0.00047469712,0.000008126264,0.19772664,0.0070918533,0.00009338448,0.008458176],"study_design_scores_gemma":[0.0000630948,0.00004294302,0.9590365,0.0000098845585,0.0000026336136,4.865171e-7,0.000805658,0.00014488405,0.008115517,0.00025890398,0.03147271,0.00004678065],"about_ca_topic_score_codex":0.0022475112,"about_ca_topic_score_gemma":0.018061833,"teacher_disagreement_score":0.18961112,"about_ca_system_score_codex":0.0000011922499,"about_ca_system_score_gemma":0.0000064377455,"threshold_uncertainty_score":0.999856},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901999,0.0006911495,0.00010571653,0.0005812299,0.00035519843,0.0004130179,0.00030733505,0.00006018293,0.007286265],"genre_scores_gemma":[0.97299254,0.001211257,0.00039945202,0.0003466373,0.00050823874,0.000043417644,0.0013264332,0.000008104676,0.023163913],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972351,0.00013510138,0.00041023782,0.0007082074,0.00037238342,0.001138937],"domain_scores_gemma":[0.99866754,0.00016416646,0.0002613532,0.00019601885,0.0001414259,0.0005695255],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005598337,0.00055522117,0.0005096223,0.00004618157,0.0010733263,0.0007007403,0.0010462486,0.0010756843,0.0018615358],"category_scores_gemma":[0.00012735544,0.00026909378,0.00033811285,0.00014004816,0.000060507093,0.00015118592,0.00007548807,0.00058362324,0.00014120925],"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":[0.0002825988,0.00037767412,0.08151459,0.0002440722,0.0002267383,0.00015225062,0.011913323,0.0004400047,0.67668766,0.00043303345,0.005889508,0.22183855],"study_design_scores_gemma":[0.0010972113,0.0010821475,0.7285021,0.0011318029,0.00069191155,0.00023194877,0.045016915,0.15714523,0.049631096,0.0025337432,0.009043176,0.003892719],"about_ca_topic_score_codex":0.006909611,"about_ca_topic_score_gemma":0.0061819414,"teacher_disagreement_score":0.6469875,"about_ca_system_score_codex":0.000111341964,"about_ca_system_score_gemma":0.00018024918,"threshold_uncertainty_score":0.9999761},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99775964,0.00056074903,0.00000451104,0.000970998,0.00011599311,0.00017009224,0.000032001444,0.0000047395033,0.00038126842],"genre_scores_gemma":[0.9994848,0.00008617951,0.00030848192,0.000015256098,0.000057578898,0.0000023928608,0.000012719885,5.372617e-7,0.000032093496],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99807674,0.00008521938,0.00073323405,0.00022290346,0.00059791293,0.0002839741],"domain_scores_gemma":[0.9986234,0.00023894325,0.0006616158,0.000037678565,0.00028814594,0.00015025935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006707682,0.00016634134,0.0004437153,0.000141417,0.00018920333,0.00015378481,0.00045022633,0.00008186432,0.00012190481],"category_scores_gemma":[0.00012589124,0.000056544002,0.00019018058,0.0018049477,0.00021595495,0.00031242118,0.00008509499,0.00014776949,0.0000022168113],"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":[0.000014919958,0.00017335117,0.38575652,0.0000134592465,0.00013455572,0.0000052988657,0.0022616268,0.00087404373,0.59588647,0.00018427077,0.0003043775,0.014391114],"study_design_scores_gemma":[0.000096155796,0.0005595785,0.9903628,0.00014642195,0.000096767966,0.000043876364,0.006087304,0.00034843647,0.0019800868,0.000086468914,0.00005381819,0.0001382338],"about_ca_topic_score_codex":0.00020371079,"about_ca_topic_score_gemma":0.0013287887,"teacher_disagreement_score":0.60460633,"about_ca_system_score_codex":0.000018615841,"about_ca_system_score_gemma":0.000012923549,"threshold_uncertainty_score":0.23057975},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99209267,0.000035775065,0.0030484023,0.0001831199,0.0018778421,0.00064411573,0.00012660323,0.000100860234,0.0018906252],"genre_scores_gemma":[0.994552,5.6317134e-7,0.003056056,0.00012495705,0.00042692843,0.00003466063,0.00042666105,0.0000026746216,0.0013754714],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981699,0.000015514155,0.0002915769,0.00076625915,0.0003640082,0.00039276955],"domain_scores_gemma":[0.9992407,0.0001408531,0.0001720428,0.00009646501,0.00022030664,0.00012961055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008252646,0.00015815342,0.00014598329,0.000032866817,0.0007139415,0.00025750205,0.00016019074,0.00012434744,0.0001841895],"category_scores_gemma":[0.00022758778,0.00007117777,0.00009957198,0.000512881,0.00010122916,0.000057283316,0.0000225682,0.00007974484,0.000010662992],"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":[0.00003363849,0.00014247558,0.0017109605,0.0000070494375,0.000005956195,0.0000011296747,0.000040325744,0.00012438055,0.9696543,0.000011897011,0.01943523,0.008832644],"study_design_scores_gemma":[0.0004198565,0.0015836303,0.053898774,0.00005003539,0.00005259614,0.00009877527,0.00010337778,0.09372714,0.40508676,0.00065220153,0.44346264,0.00086420873],"about_ca_topic_score_codex":0.000117043026,"about_ca_topic_score_gemma":0.00029107454,"teacher_disagreement_score":0.56456757,"about_ca_system_score_codex":0.00002285931,"about_ca_system_score_gemma":0.000029425395,"threshold_uncertainty_score":0.54911333},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829435,0.00016699272,0.0000014783808,0.0011694911,0.000020551593,0.00006385865,0.0002048483,0.000021849097,0.000056586974],"genre_scores_gemma":[0.99882686,0.0007692115,0.0002754838,0.000043283322,0.00005357423,7.023085e-7,0.000016014554,6.16403e-7,0.000014231843],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99938077,0.000014239531,0.000107747495,0.00022538278,0.00006487474,0.00020698782],"domain_scores_gemma":[0.99968714,0.000085381886,0.00009088038,0.000019518362,0.000034039804,0.00008304526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013382427,0.00009447033,0.00015463166,0.00008915217,0.00038975902,0.000023484197,0.00008182382,0.0001934369,0.0000072102234],"category_scores_gemma":[0.000034834302,0.00004410496,0.000011276629,0.00022239856,0.00014989753,0.000030613643,0.00012333815,0.00007576958,3.2028012e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029452529,0.0000038605003,0.40463537,0.000008111432,0.00003335811,0.0000049197615,0.00008865775,5.772721e-7,0.5767266,0.000031204974,0.00011788444,0.018319964],"study_design_scores_gemma":[0.000148795,0.00059092656,0.9844291,0.000029017669,0.00005038494,0.00011135911,0.0004385783,0.00052064867,0.012578463,0.00012608968,0.0008237609,0.0001528641],"about_ca_topic_score_codex":0.066831954,"about_ca_topic_score_gemma":0.1270858,"teacher_disagreement_score":0.57979375,"about_ca_system_score_codex":0.000017393155,"about_ca_system_score_gemma":0.0000065179797,"threshold_uncertainty_score":0.9393821},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988386,0.000048203758,0.00013661674,0.00043105992,0.00020354058,0.00014282427,0.000040334387,0.0000032326166,0.00015557843],"genre_scores_gemma":[0.9951189,0.000008928949,0.004546348,0.000010068446,0.00029456944,7.5299533e-7,0.0000029754458,2.7902402e-7,0.000017158316],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99879384,0.000016157268,0.00039100132,0.00014541163,0.0004544821,0.00019908635],"domain_scores_gemma":[0.99798334,0.00017660964,0.0005655584,0.000023829594,0.0011671367,0.00008350226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008031041,0.00008148405,0.00018647427,0.00002764971,0.000175814,0.000030981428,0.000414707,0.000027353997,0.000024806706],"category_scores_gemma":[0.00042781341,0.000024877114,0.000093558294,0.0007536978,0.00030335246,0.00028349238,0.000033376626,0.00005231832,5.762466e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020487932,0.000056079225,0.0006491446,0.000007294106,0.000004208961,1.00863375e-7,0.00045617783,0.00012934992,0.9812764,0.000519731,0.00014631676,0.01673472],"study_design_scores_gemma":[0.00010485409,0.0017741956,0.65851074,0.0000558122,0.000017036964,0.000045427634,0.0009249112,0.00026058013,0.33740863,0.000604544,0.00020073845,0.00009251382],"about_ca_topic_score_codex":0.000061846906,"about_ca_topic_score_gemma":0.000060999748,"teacher_disagreement_score":0.6578616,"about_ca_system_score_codex":0.000020669075,"about_ca_system_score_gemma":0.00003260185,"threshold_uncertainty_score":0.13522369},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99905807,0.00007602782,6.547351e-7,0.00049288425,0.00008008846,0.00012973633,0.000008049831,0.0000020185914,0.00015244732],"genre_scores_gemma":[0.999604,0.000048971488,0.0002262629,0.000017215141,0.00008699136,0.0000011770567,6.25589e-7,2.5934963e-7,0.000014534987],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985259,0.00004992757,0.0005043027,0.00019735066,0.00045342112,0.0002691084],"domain_scores_gemma":[0.9993603,0.00008092114,0.00029661422,0.00003654206,0.00012006409,0.00010550661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018962511,0.00009912189,0.00020519258,0.000025167787,0.000118842196,0.00007072978,0.00032288808,0.000043125834,0.000054533983],"category_scores_gemma":[0.00016574423,0.000034037417,0.000039732015,0.00043821192,0.00045585327,0.00033503643,0.000100994934,0.00014441117,0.0000011269766],"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":[0.000024892728,0.00006572227,0.2466536,0.000007398507,7.8738697e-7,9.549907e-7,0.00019283939,0.000009527283,0.74991214,0.000006394404,0.0000037949019,0.0031219358],"study_design_scores_gemma":[0.00011263095,0.00049649016,0.7898721,0.0000723926,0.0000011275091,0.000018922236,0.00030633667,0.000011598749,0.20892818,0.000047568716,0.0000559267,0.00007671748],"about_ca_topic_score_codex":0.00031113246,"about_ca_topic_score_gemma":0.0008637235,"teacher_disagreement_score":0.5432185,"about_ca_system_score_codex":0.00007461896,"about_ca_system_score_gemma":0.000016461012,"threshold_uncertainty_score":0.16796105},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854934,0.000053012587,9.664853e-7,0.00079962634,0.00007078528,0.00010082748,0.000003522852,7.326778e-7,0.00042117367],"genre_scores_gemma":[0.9997601,0.00001500451,0.000052803367,0.000024249644,0.00013564143,0.0000010428878,0.0000016812892,1.17314116e-7,0.000009352042],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986007,0.000087244094,0.0002895566,0.0000954105,0.0008002207,0.00012685951],"domain_scores_gemma":[0.9994331,0.00006244057,0.0002510458,0.000027025755,0.00019609311,0.000030314824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030235404,0.000052096853,0.00007927659,0.000021156955,0.00007756411,0.00004644542,0.00038848922,0.000021684926,0.00006685354],"category_scores_gemma":[0.00007022132,0.000013575554,0.00003014327,0.0005008387,0.0001408234,0.00015311869,0.000019000243,0.00008074774,0.0000055673036],"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":[0.000005888269,0.00004830097,0.014318341,6.687169e-7,8.8138444e-7,4.1210671e-7,0.0012029472,0.00017858218,0.9608085,0.000041418778,0.000046695597,0.02334737],"study_design_scores_gemma":[0.000086253276,0.0002138973,0.98832905,0.00002016027,0.000005648875,0.000025081017,0.0037996115,0.00022873288,0.0068892967,0.00031348676,0.00004722547,0.00004154475],"about_ca_topic_score_codex":0.00013411144,"about_ca_topic_score_gemma":0.0005537799,"teacher_disagreement_score":0.9740107,"about_ca_system_score_codex":0.000045207606,"about_ca_system_score_gemma":0.000019760486,"threshold_uncertainty_score":0.10479048},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985985,0.00011149533,0.00001750636,0.00066039624,0.000036973554,0.00024609163,0.00013024808,0.00001577742,0.00018299615],"genre_scores_gemma":[0.9980489,0.000002653201,0.0015140419,0.000036769386,0.00020015106,0.0000031771992,0.0000052117316,0.00000121269,0.00018788145],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992203,0.000078378696,0.00019709519,0.00021474222,0.00012662096,0.0001628525],"domain_scores_gemma":[0.9996116,0.000088160945,0.00006892032,0.00005398328,0.00006909387,0.00010821231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011394828,0.00010358554,0.0001445319,0.000012797439,0.00012699308,0.00004503418,0.000090077,0.00007374658,0.000068700116],"category_scores_gemma":[0.00008789883,0.000045191202,0.000019622323,0.00013861686,0.00007359178,0.000019781843,0.000071322655,0.000073165975,0.000010049098],"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":[0.00008377735,0.000023335535,0.09308645,0.000035846322,0.000017462045,0.000001501675,0.0017392975,0.000004805528,0.8901552,0.00019937687,0.000058052294,0.014594911],"study_design_scores_gemma":[0.00018677398,0.00049529894,0.98935413,0.00007693758,0.000018830127,0.000010578296,0.0007302346,0.00053754693,0.0035822236,0.0030228922,0.0017480284,0.00023651682],"about_ca_topic_score_codex":0.0001320354,"about_ca_topic_score_gemma":0.000614172,"teacher_disagreement_score":0.8962677,"about_ca_system_score_codex":0.0000032251864,"about_ca_system_score_gemma":0.000003473093,"threshold_uncertainty_score":0.18428437},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958677,0.00008050515,0.002417316,0.0003847511,0.0005570767,0.00019692573,0.00020158004,0.00001638145,0.0002777381],"genre_scores_gemma":[0.9697022,0.000021819094,0.029611688,0.00036958378,0.00023317529,0.000007170653,0.000010036249,4.3718265e-7,0.000043925735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904853,0.000013040449,0.00012312095,0.00032464985,0.00016633196,0.00032430454],"domain_scores_gemma":[0.9996646,0.00008264166,0.000035130888,0.000038419916,0.000049985683,0.00012921597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007203363,0.000080133366,0.00011670683,0.000033094235,0.00037653142,0.00008775892,0.00029991867,0.000037208098,0.000008015791],"category_scores_gemma":[0.00010989328,0.000036407193,0.000015879377,0.00040126668,0.00020248345,0.0001006683,0.0000791404,0.000051652285,0.0000025549543],"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":[0.00019199039,0.000033081356,0.5134841,0.000010213189,0.0000041243484,0.000003334816,0.0006834028,0.000035263067,0.2852726,0.0003138393,0.008146488,0.19182155],"study_design_scores_gemma":[0.00022384287,0.00056791503,0.91391474,0.00007551182,0.0000061409364,0.000014212438,0.00054990477,0.015552047,0.021257786,0.0020786836,0.045366466,0.00039277124],"about_ca_topic_score_codex":0.00014550194,"about_ca_topic_score_gemma":0.0004434176,"teacher_disagreement_score":0.40043062,"about_ca_system_score_codex":0.0000109616585,"about_ca_system_score_gemma":0.000010172514,"threshold_uncertainty_score":0.28960133},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864805,0.00008487448,0.00001839224,0.0007495963,0.00011428046,0.00010435431,0.000010069236,0.0000059347335,0.0002644263],"genre_scores_gemma":[0.9980321,0.00002042836,0.0012852234,0.00012091973,0.0005316057,6.1655817e-7,8.9203877e-7,4.1842023e-7,0.0000077993855],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99883217,0.00002662148,0.00033121006,0.00019138896,0.00032852357,0.00029010393],"domain_scores_gemma":[0.9992318,0.000097718745,0.00021136286,0.00001793866,0.00020829513,0.00023289093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057348947,0.00011646437,0.00023405846,0.000019491177,0.00030631493,0.00009988299,0.0002866294,0.000057216006,0.000014600262],"category_scores_gemma":[0.000028116865,0.000036716006,0.00003859755,0.000516203,0.00029922384,0.00017800732,0.00013291561,0.00011460921,0.0000010264797],"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":[0.000041881063,0.000023492747,0.0010070166,0.0000015518552,0.000004391716,0.0000021409703,0.00029444872,0.0010705573,0.97691613,0.0004950725,0.0000961353,0.020047203],"study_design_scores_gemma":[0.000066487824,0.0007922807,0.9868326,0.000021304453,0.000015418365,0.00017946855,0.00032267024,0.00077445566,0.009707968,0.0010782916,0.00008062329,0.00012840987],"about_ca_topic_score_codex":0.000057354646,"about_ca_topic_score_gemma":0.00013130183,"teacher_disagreement_score":0.9858256,"about_ca_system_score_codex":0.000010509512,"about_ca_system_score_gemma":0.0000073297574,"threshold_uncertainty_score":0.23559579},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916096,0.001685908,0.001550055,0.00065202144,0.00050685264,0.0019394127,0.001930474,0.00011897106,0.0000067155106],"genre_scores_gemma":[0.9831515,0.00058512116,0.0147931,0.000069123584,0.0010882668,0.0002502245,0.00005028625,0.000009111338,0.0000032656837],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99782526,0.00005638322,0.00039813327,0.0007801511,0.00028575206,0.0006543127],"domain_scores_gemma":[0.998363,0.00023938727,0.00022176292,0.00032646058,0.00063586945,0.00021351967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002210391,0.00031006322,0.0003359296,0.00008948643,0.00065545866,0.00084994634,0.0006542653,0.00035870157,0.000006792914],"category_scores_gemma":[0.00023932772,0.00017719869,0.000046941208,0.00028536044,0.00016035896,0.00026834797,0.0010939123,0.00032785386,0.0000029760076],"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":[0.0002756256,0.00011309043,0.013030174,0.002169717,0.00025867604,0.00000406263,0.000060765175,0.000016420317,0.971778,0.0020284436,0.0019249311,0.008340095],"study_design_scores_gemma":[0.0021010272,0.0023077216,0.45234075,0.0017162127,0.00048040136,4.245409e-7,0.0001258639,0.084749624,0.030886449,0.00046020167,0.42158028,0.0032510285],"about_ca_topic_score_codex":0.000108466724,"about_ca_topic_score_gemma":0.00004046448,"teacher_disagreement_score":0.94089156,"about_ca_system_score_codex":0.000051003957,"about_ca_system_score_gemma":0.0000616121,"threshold_uncertainty_score":0.81960523},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99912363,0.00011369792,0.000032124943,0.00039566477,0.00018227047,0.0000889166,0.0000062269683,0.0000034923105,0.000053963788],"genre_scores_gemma":[0.99883085,0.000057549078,0.00086705695,0.000056797053,0.00017215154,7.2513023e-7,0.0000041635667,2.8441184e-7,0.00001042011],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988278,0.000048291546,0.00029675645,0.00014808499,0.0005089694,0.00017005403],"domain_scores_gemma":[0.9982946,0.000056816632,0.0003666341,0.00002617437,0.0011518991,0.000103875485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088350667,0.000088069886,0.0001470937,0.000018380075,0.00018829695,0.00008876747,0.00024671122,0.000048797392,0.000054571457],"category_scores_gemma":[0.00023791891,0.000027593625,0.00004339854,0.00048752304,0.00036846066,0.00021337977,0.00005865526,0.00007641793,0.0000020433142],"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":[0.000015311714,0.000027679152,0.0027436055,0.0000027600288,0.000004510819,5.7657604e-7,0.000035344874,0.000028155402,0.9912444,0.000049622733,0.00006179874,0.0057862666],"study_design_scores_gemma":[0.000104738785,0.00050026836,0.9589331,0.000038395832,0.000018691668,0.00005915668,0.00035504223,0.0004175365,0.039361846,0.000096204814,0.000036054273,0.00007897853],"about_ca_topic_score_codex":0.000028760693,"about_ca_topic_score_gemma":0.000017297278,"teacher_disagreement_score":0.95618945,"about_ca_system_score_codex":0.00003078876,"about_ca_system_score_gemma":0.000026222373,"threshold_uncertainty_score":0.1448247},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991444,0.00003596869,0.000011494039,0.00004376026,0.00021419265,0.0002350313,0.00009103406,0.000045642406,0.00017850763],"genre_scores_gemma":[0.9986908,0.00003639539,0.00051574747,0.00001645249,0.0005910998,0.000012125218,0.00011099843,0.0000021231833,0.000024300909],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988448,0.000070003436,0.00031661236,0.00029566986,0.00021396343,0.000258976],"domain_scores_gemma":[0.99956983,0.0001131657,0.00013848119,0.00003472777,0.00008273803,0.00006103777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002959916,0.00013869943,0.00022513082,0.000060305396,0.00016586363,0.000074634336,0.00015086918,0.00010828539,0.00021113026],"category_scores_gemma":[0.000050913648,0.00006248957,0.000032565567,0.00045154803,0.000021135096,0.0001869689,0.000028582293,0.000074408235,0.000004353542],"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":[0.00012119269,0.000037025195,0.4166782,0.000012917264,0.0000069867133,0.0000019784866,0.00033227904,0.000056214176,0.5725526,0.000009543517,0.00001107693,0.010179966],"study_design_scores_gemma":[0.00013594187,0.00062320166,0.9680533,0.00008198432,0.000016807313,0.000022773043,0.00007387152,0.012188091,0.018356895,0.0000463722,0.0002242434,0.00017651984],"about_ca_topic_score_codex":0.0035699632,"about_ca_topic_score_gemma":0.018705174,"teacher_disagreement_score":0.5541957,"about_ca_system_score_codex":0.000032963577,"about_ca_system_score_gemma":0.0000104501705,"threshold_uncertainty_score":0.9992009},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988242,0.00004728625,0.0000012989184,0.00025472534,0.00004275689,0.0000566442,0.000010292141,0.0000051491106,0.0007576636],"genre_scores_gemma":[0.99958867,0.00004262261,0.00011266429,0.00013302412,0.000044402736,8.8024797e-7,6.740039e-7,1.882347e-7,0.00007690387],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993555,0.000008187063,0.000084520645,0.0001987105,0.00019729689,0.0001557967],"domain_scores_gemma":[0.99978113,0.000028009586,0.000036916783,0.00004059997,0.000038386766,0.000074936244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002310028,0.00005311025,0.000059208178,0.000009587323,0.00020556178,0.000031200765,0.00019807747,0.000019106064,0.000068957605],"category_scores_gemma":[0.000032292206,0.000019460242,0.00001053338,0.00013953437,0.00067731703,0.00004749262,0.00007327803,0.000029035922,0.000021322607],"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":[0.000005244186,0.000008129314,0.007409321,8.1404465e-7,4.648403e-7,3.6810673e-7,0.000060424205,0.000012095361,0.9785736,0.00037668878,0.00001989528,0.01353296],"study_design_scores_gemma":[0.00003761203,0.000520359,0.85596997,0.000014595267,0.0000016557445,0.00000396094,0.00005773298,0.000102702405,0.13955873,0.0003593608,0.003299421,0.00007390023],"about_ca_topic_score_codex":0.00012368202,"about_ca_topic_score_gemma":0.000029023688,"teacher_disagreement_score":0.84856063,"about_ca_system_score_codex":0.000008403969,"about_ca_system_score_gemma":0.000004937477,"threshold_uncertainty_score":0.24956028},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976526,0.0008080125,8.818027e-7,0.00039086983,0.00031564868,0.0003030176,0.00022739587,0.000018151755,0.0002834582],"genre_scores_gemma":[0.99944276,0.00007912973,0.000054090124,0.00012996251,0.00018191806,0.00001280207,0.000027184195,7.233192e-7,0.00007145583],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987428,0.00009333616,0.00021021013,0.0004464064,0.00018581245,0.00032139252],"domain_scores_gemma":[0.9994588,0.00010342807,0.00011803181,0.000066655964,0.0001686475,0.0000844174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034237708,0.00016241721,0.00026736667,0.000027287884,0.00022516333,0.00007770931,0.0002476441,0.00015435535,0.00006911075],"category_scores_gemma":[0.00008003899,0.00005902586,0.00005353787,0.00041465173,0.000394019,0.000053830165,0.000104002975,0.00011855036,0.0000058637365],"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":[0.00004444213,0.00003676268,0.23724297,0.000006578837,0.0000048751513,0.000002730833,0.000088426474,0.000003681066,0.75764954,0.000039515187,0.000052212203,0.004828245],"study_design_scores_gemma":[0.00016692752,0.0004180645,0.8103468,0.0000820986,0.000004717529,0.000004096321,0.00022612243,0.000040385923,0.18735717,0.00007681941,0.0011370403,0.00013980354],"about_ca_topic_score_codex":0.00042430975,"about_ca_topic_score_gemma":0.0044821026,"teacher_disagreement_score":0.5731038,"about_ca_system_score_codex":0.000013511275,"about_ca_system_score_gemma":0.0000064248507,"threshold_uncertainty_score":0.25011185},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970382,0.0014304395,0.000005035046,0.000038405444,0.00017241732,0.00043776174,0.000038558763,0.000014784627,0.00082442316],"genre_scores_gemma":[0.99942774,0.00008161236,0.000007655723,0.0000071557124,0.00011829691,0.000017331244,0.000040153525,6.7408314e-7,0.00029938796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874425,0.00011326483,0.0003771976,0.00030910686,0.00020609719,0.00025008587],"domain_scores_gemma":[0.99950343,0.00011378282,0.00014806628,0.000081465325,0.00006848062,0.0000847528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048403986,0.00013700809,0.00045984457,0.000022080138,0.000054963806,0.00005534036,0.00012886345,0.00015922375,0.0000603517],"category_scores_gemma":[0.000016414635,0.00004889827,0.00011149506,0.0009405117,0.000016163032,0.00007976675,0.00004496049,0.0000803719,0.0000033632878],"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":[0.0005413896,0.00029603814,0.528067,0.00013265669,0.0003468095,0.0000014854054,0.0003415385,0.0036974046,0.4659769,0.00019613221,0.00015150764,0.00025116818],"study_design_scores_gemma":[0.009091472,0.004113138,0.9539078,0.00017521711,0.00069252186,0.000015797566,0.004449001,0.003090835,0.007993621,0.00025948655,0.015290225,0.0009209135],"about_ca_topic_score_codex":0.004108668,"about_ca_topic_score_gemma":0.013899216,"teacher_disagreement_score":0.45798326,"about_ca_system_score_codex":0.000016057427,"about_ca_system_score_gemma":0.000009643454,"threshold_uncertainty_score":0.7756089},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447626,0.0002274873,0.00138478,0.0003950689,0.0006218346,0.00040736294,0.0007417519,0.00005184365,0.0016936221],"genre_scores_gemma":[0.9839361,0.0002230508,0.014944985,0.00014617709,0.0002868082,0.0000076145207,0.00028533186,0.0000028807012,0.00016709119],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983377,0.000277172,0.00041520252,0.0004622105,0.00014413035,0.000363618],"domain_scores_gemma":[0.9980305,0.0010168934,0.00047669862,0.00008414337,0.00032655502,0.00006522453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005309819,0.00024237168,0.0004710945,0.00007221394,0.00023864428,0.00001782264,0.00038941298,0.00025240864,0.00040920055],"category_scores_gemma":[0.00014046856,0.00012655194,0.00020888704,0.0003729306,0.00030921813,0.0002032563,0.000116113886,0.00015219199,0.000004844074],"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":[0.00035582876,0.00014938321,0.005711754,0.00004471438,0.0002270633,0.0000040292084,0.0005158571,0.00003421887,0.9430651,0.01718979,0.0012918306,0.03141042],"study_design_scores_gemma":[0.0012275076,0.012614076,0.79873306,0.00008058401,0.00033305245,0.00006455952,0.005036026,0.0004729138,0.08554764,0.01957884,0.075402096,0.00090964336],"about_ca_topic_score_codex":0.00057186204,"about_ca_topic_score_gemma":0.0006501163,"teacher_disagreement_score":0.8575175,"about_ca_system_score_codex":0.000039177005,"about_ca_system_score_gemma":0.00003500593,"threshold_uncertainty_score":0.5160638},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746575,0.0024509053,0.00075516885,0.004131382,0.0066009965,0.0020488761,0.0018205788,0.00049396156,0.0070406343],"genre_scores_gemma":[0.9505777,0.0021056645,0.0036138855,0.0010997363,0.0029883569,0.00017167901,0.016923865,0.000060255785,0.02245889],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99030894,0.0005582429,0.0023854957,0.0027167709,0.0017570626,0.0022734744],"domain_scores_gemma":[0.9952446,0.00086991914,0.0013344749,0.00044165787,0.0006680453,0.0014412767],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.000920582,0.0021113846,0.001942784,0.00024981788,0.0012772002,0.0013260972,0.0022391353,0.002013806,0.0072787465],"category_scores_gemma":[0.0005664352,0.0011843232,0.0012269984,0.0015647216,0.0001972517,0.00037382988,0.0005372692,0.0017643636,0.0017263789],"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":[0.0010242475,0.0009018403,0.0032724645,0.00080101495,0.00075404777,0.00040284227,0.0056431172,0.0002680935,0.73781544,0.002890537,0.08832321,0.15790313],"study_design_scores_gemma":[0.0051984773,0.01003518,0.15718691,0.007750391,0.003508732,0.0017332358,0.016083196,0.17298079,0.051472723,0.0032996282,0.5534741,0.017276628],"about_ca_topic_score_codex":0.00026384895,"about_ca_topic_score_gemma":0.0066171456,"teacher_disagreement_score":0.6863427,"about_ca_system_score_codex":0.00026749063,"about_ca_system_score_gemma":0.00030409382,"threshold_uncertainty_score":0.9997106},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962283,0.0025735341,0.0000024518502,0.0006059701,0.00008843968,0.000106514664,0.00036159245,0.0000010231638,0.00003220274],"genre_scores_gemma":[0.9978687,0.0019431653,0.000037682537,0.000046893703,0.000056682456,7.539721e-7,0.000010005899,4.2778404e-7,0.00003564938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850285,0.00020205237,0.00078884047,0.0000811455,0.0003118819,0.00011321476],"domain_scores_gemma":[0.99748355,0.0016452223,0.00076201063,0.00004297793,0.00004387091,0.00002238726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00247836,0.000092672446,0.00076572504,0.00005513042,0.00004463427,0.000009080567,0.00023084707,0.0000507843,0.000077604745],"category_scores_gemma":[0.00015743222,0.000027156708,0.00026591885,0.00019904974,0.000037706082,0.000021127364,0.00004738938,0.00014321641,0.000002117402],"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":[0.0003356136,0.0005966915,0.67262626,0.00004704962,0.0030963353,0.000023391372,0.011470353,0.0035965613,0.30114722,0.000047960773,0.00065074617,0.0063617765],"study_design_scores_gemma":[0.00092754525,0.0015600801,0.94414943,0.00029537617,0.0017260583,0.000020599,0.04355188,0.00072090677,0.004180964,0.00014221146,0.0024891496,0.00023577058],"about_ca_topic_score_codex":0.00034161413,"about_ca_topic_score_gemma":0.0016140573,"teacher_disagreement_score":0.29696628,"about_ca_system_score_codex":0.000009850495,"about_ca_system_score_gemma":0.0000033888236,"threshold_uncertainty_score":0.11074184},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968228,0.000090721405,0.0000014219576,0.0006275033,0.0006851669,0.000043494147,0.0001518297,0.0000021350265,0.0015749244],"genre_scores_gemma":[0.99936146,0.00001123416,0.00007111912,0.00022040348,0.00015988466,9.9843106e-8,0.0000059075282,2.6094412e-7,0.00016964861],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992101,0.000010397701,0.00016278918,0.00010470778,0.00022272835,0.00028925054],"domain_scores_gemma":[0.9991484,0.000060235463,0.00011308439,0.000028441314,0.00012783508,0.00052194844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055032485,0.000058471207,0.000102574115,0.00005200048,0.00016970026,0.000116082316,0.0004863178,0.000029871067,0.0004429842],"category_scores_gemma":[0.00006218365,0.000022187976,0.000034231925,0.00037633698,0.000097327975,0.00012641553,0.000012413011,0.00010931454,0.000053932457],"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":[0.0000112571815,0.0000074291756,0.12004899,0.0000030780568,0.0000045883326,0.000109336666,0.00015045711,0.000089282665,0.8641707,0.0005283836,0.0030916517,0.011784853],"study_design_scores_gemma":[0.00028966268,0.0010108777,0.76042473,0.0001630013,0.0000133973335,0.0016423387,0.0006735705,0.0012650728,0.014867297,0.00060217385,0.2186516,0.00039627127],"about_ca_topic_score_codex":0.0025601282,"about_ca_topic_score_gemma":0.018391505,"teacher_disagreement_score":0.84930336,"about_ca_system_score_codex":0.000033059172,"about_ca_system_score_gemma":0.00027755488,"threshold_uncertainty_score":0.9995203},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987328,0.000109721,0.000047986025,0.00030355772,0.0002872026,0.00009562321,0.000019907091,0.000006400295,0.00039680107],"genre_scores_gemma":[0.99470216,0.00003527038,0.004890302,0.000053573764,0.00021233405,2.1452638e-7,0.000015838013,4.007055e-7,0.00008989301],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99777955,0.000048422957,0.00044452655,0.0003341662,0.0010165022,0.00037686233],"domain_scores_gemma":[0.99873954,0.000096544194,0.00043223792,0.00009994379,0.0004465675,0.00018516179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019477594,0.00013642274,0.00026967406,0.00005607634,0.00027775596,0.00025785246,0.0013716951,0.00004386487,0.00019752819],"category_scores_gemma":[0.00007004609,0.0000399619,0.00013375291,0.0016421361,0.000060029033,0.0010948126,0.00042500783,0.0001575118,0.00001209499],"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":[0.0000072285816,0.00002263346,0.013175374,0.0000016092329,0.000055750632,0.0000016929431,0.00012778294,0.015785262,0.9647039,0.000020593821,0.00007615025,0.0060220105],"study_design_scores_gemma":[0.0001557885,0.00027518446,0.9294062,0.000069212016,0.00021906085,0.00013444827,0.0013319375,0.06129243,0.0064222957,0.00009734812,0.00031129038,0.0002847879],"about_ca_topic_score_codex":0.00009345681,"about_ca_topic_score_gemma":0.000048705686,"teacher_disagreement_score":0.95828164,"about_ca_system_score_codex":0.0000791518,"about_ca_system_score_gemma":0.000043010565,"threshold_uncertainty_score":0.25489736},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977762,0.00041656318,0.000003883913,0.0002476686,0.0009058122,0.00011849861,0.00002156478,0.000012788948,0.0004970062],"genre_scores_gemma":[0.9988193,0.000112882844,0.00034514305,0.00004354744,0.00034199265,7.073078e-7,0.0000036864367,7.0899296e-7,0.00033202377],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980175,0.000040852512,0.00040848847,0.00028802987,0.00080838293,0.0004367827],"domain_scores_gemma":[0.9987667,0.000105075495,0.0004207609,0.00005508119,0.00037141505,0.00028095648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049062644,0.00017787873,0.0002443272,0.000028879866,0.00027806885,0.00021211775,0.0008341118,0.00007172637,0.0005435827],"category_scores_gemma":[0.00006541355,0.000055299464,0.00014328327,0.0007509335,0.0001418627,0.0004587931,0.00013234557,0.00019138899,0.000067406436],"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":[0.000008052888,0.00002695693,0.15127328,0.0000019341421,0.000009611896,0.0000044900526,0.000074029405,0.00018413959,0.8439107,0.0000097233515,0.0008022101,0.003694888],"study_design_scores_gemma":[0.00010558421,0.00029582824,0.9859999,0.000027338616,0.000016961092,0.00006825516,0.0002310257,0.00007866709,0.010687514,0.000025065987,0.002268503,0.00019535076],"about_ca_topic_score_codex":0.0003355909,"about_ca_topic_score_gemma":0.00012619422,"teacher_disagreement_score":0.83472663,"about_ca_system_score_codex":0.00005136627,"about_ca_system_score_gemma":0.000022540231,"threshold_uncertainty_score":0.5951849},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99442875,0.00004384174,0.0009009007,0.00021240488,0.0034697629,0.0007335263,0.000046366895,0.000030843465,0.00013362781],"genre_scores_gemma":[0.9664427,0.0000034084983,0.031238763,0.0000556076,0.0004819882,0.000015742697,0.0010821157,0.0000024778597,0.0006772185],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978971,0.00007012011,0.00042298014,0.0009077745,0.0004160671,0.00028595628],"domain_scores_gemma":[0.99904895,0.00018016061,0.000295314,0.00030621878,0.000050881652,0.00011845806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035662178,0.00012134269,0.0001715743,0.000022152879,0.00045771094,0.00037637044,0.0002700877,0.00009178695,0.0001440903],"category_scores_gemma":[0.00018237978,0.000053521588,0.000079864105,0.00029853298,0.000076434146,0.00015505099,0.00022535548,0.000083787505,0.0000061604696],"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":[0.00011498496,0.000037781007,0.0048415125,0.000012609111,0.0000124561475,0.000008361202,0.000058688795,0.00023955265,0.98587227,0.00014353402,0.0011869085,0.0074713314],"study_design_scores_gemma":[0.00461579,0.0009641128,0.01620854,0.00019487568,0.0002669259,0.0004645044,0.0004698572,0.28834853,0.042521607,0.06545374,0.57888,0.0016114936],"about_ca_topic_score_codex":0.00015835626,"about_ca_topic_score_gemma":0.000038901995,"teacher_disagreement_score":0.9433507,"about_ca_system_score_codex":0.000018030003,"about_ca_system_score_gemma":0.00002626032,"threshold_uncertainty_score":0.3629349},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777395,0.00002454063,0.000023510942,0.0001488624,0.000037024576,0.00019000944,0.000017881335,0.0000046359473,0.0017796049],"genre_scores_gemma":[0.99954075,0.0000046755545,0.000109914334,0.00001749887,0.000009898374,0.0000044179496,0.0000028128852,2.9190085e-7,0.0003097173],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99934906,0.000021227357,0.0001322274,0.00019080375,0.0001632986,0.0001433603],"domain_scores_gemma":[0.99981517,0.00003450955,0.00006673349,0.000034111825,0.000013384082,0.00003608886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036572255,0.000050321785,0.00006989109,0.000015927826,0.000076481556,0.000040420768,0.00011491531,0.000014536119,0.0001411084],"category_scores_gemma":[0.0000073000506,0.000023135097,0.000012452952,0.00012716901,0.00011080865,0.00006270587,0.00007755292,0.000040647737,0.000027225413],"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":[0.000007831731,0.000024502307,0.028526671,0.000009363817,0.0000017318417,6.0749755e-7,0.00018911711,0.00010418874,0.964602,0.00055426784,9.56286e-7,0.00597879],"study_design_scores_gemma":[0.00018946944,0.00012946871,0.98305064,0.00008127142,0.0000045466627,0.0000031190732,0.0035817078,0.0023346653,0.008653697,0.0013350686,0.00048256913,0.00015376565],"about_ca_topic_score_codex":0.00012634826,"about_ca_topic_score_gemma":0.000047861773,"teacher_disagreement_score":0.9559483,"about_ca_system_score_codex":0.000017688642,"about_ca_system_score_gemma":0.0000032192452,"threshold_uncertainty_score":0.15450379},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962053,0.00006426327,0.000013883609,0.00030512369,0.00010503406,0.000469891,0.0014881046,0.000049555492,0.0012988752],"genre_scores_gemma":[0.99769974,0.000031999316,0.0011398951,0.00019000449,0.00010809856,0.000038650527,0.00069671863,9.898934e-7,0.00009388307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985059,0.00002852979,0.00024840853,0.0005045563,0.00031333906,0.00039929902],"domain_scores_gemma":[0.99903363,0.00059799454,0.000094536255,0.000092674956,0.000025835725,0.0001553318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034898435,0.0001511285,0.0001669534,0.00006214731,0.00027348995,0.00018425907,0.0007949144,0.00007074414,0.000034311972],"category_scores_gemma":[0.000036461184,0.00006589648,0.000026412845,0.00082107,0.00007752294,0.00015180469,0.00010244094,0.00010863237,0.0001026923],"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":[0.000005269602,0.00039890272,0.87432694,0.000023116447,0.0000074515583,0.0000045349416,0.0006685193,0.0031653922,0.10119206,0.0063816067,0.0005372366,0.013288954],"study_design_scores_gemma":[0.00009808352,0.0004554913,0.9586968,0.000088586356,0.000010405214,0.000023549028,0.0028636488,0.0068521486,0.0036559782,0.000992659,0.026051855,0.00021079095],"about_ca_topic_score_codex":0.00041144015,"about_ca_topic_score_gemma":0.0036024407,"teacher_disagreement_score":0.09753608,"about_ca_system_score_codex":0.000013317806,"about_ca_system_score_gemma":0.000018048377,"threshold_uncertainty_score":0.26871803},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89126444,0.06786707,1.1840042e-7,0.038305257,0.00016743538,0.0014150856,0.0007170359,0.0000053013964,0.00025823267],"genre_scores_gemma":[0.8604935,0.13546064,0.000012307925,0.000660616,0.000058611357,0.000025956106,0.0009668325,0.0000025058107,0.0023190554],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997517,0.000584789,0.0006939012,0.0005229188,0.00036836468,0.0003130643],"domain_scores_gemma":[0.998875,0.0005403165,0.00023326497,0.00013889968,0.00017946308,0.00003301548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028169134,0.00033573605,0.0008551905,0.00008032914,0.000026204647,0.000041339725,0.0004336624,0.00023833418,0.00007829421],"category_scores_gemma":[0.0005275818,0.00011353582,0.000104740786,0.0005360134,0.000053199376,0.00007736824,0.00007284245,0.0005473991,0.0000015924986],"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":[0.00049020466,0.0012708949,0.18029186,0.051095463,0.000058452293,0.000025255653,0.006554616,0.000033739245,0.61928314,0.00009465016,0.01657273,0.124228984],"study_design_scores_gemma":[0.00027032502,0.00026245517,0.9197006,0.03287791,0.000029325654,0.0000049633413,0.0019064379,0.000017319744,0.0027047214,0.00013010875,0.041506857,0.0005889672],"about_ca_topic_score_codex":0.0046725622,"about_ca_topic_score_gemma":0.12554702,"teacher_disagreement_score":0.73940873,"about_ca_system_score_codex":0.00005580474,"about_ca_system_score_gemma":0.000046139605,"threshold_uncertainty_score":0.89040947},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91060853,0.08773701,0.00004516647,0.00019460519,0.00014410171,0.00043640521,0.00034556168,0.00001701442,0.00047161715],"genre_scores_gemma":[0.9613923,0.029213151,0.007852711,0.00019744254,0.0003241888,0.0000074567915,0.00021494892,0.0000064820633,0.00079136575],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977003,0.00012661357,0.00067488034,0.00048256433,0.000503037,0.0005126582],"domain_scores_gemma":[0.99843025,0.0003824303,0.0005409558,0.00021231409,0.00024168902,0.00019235948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044510773,0.00027494403,0.00055616314,0.00004458686,0.00013917618,0.00004803105,0.00041719642,0.00019869482,0.00016157202],"category_scores_gemma":[0.00001575529,0.00015718784,0.0001275468,0.00045855815,0.000050496095,0.000027943295,0.00022429714,0.000094435876,0.000017944818],"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":[0.000034375105,0.00001998434,0.38652414,0.000035089535,0.000036960606,5.840363e-7,0.000083693485,0.0026259923,0.5945045,0.0000021774752,0.0004320002,0.015700515],"study_design_scores_gemma":[0.00023747123,0.00035105523,0.8117465,0.000044971453,0.000068756315,0.000001978017,0.00016165563,0.00017227413,0.10134447,0.00017609412,0.08532761,0.0003671705],"about_ca_topic_score_codex":0.000026012292,"about_ca_topic_score_gemma":0.00017052537,"teacher_disagreement_score":0.49316,"about_ca_system_score_codex":0.000047900416,"about_ca_system_score_gemma":0.000021127742,"threshold_uncertainty_score":0.6409934},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983064,0.00008652747,3.0274572e-7,0.0008926511,0.00019192656,0.000088146895,0.0000045928277,0.0000032230669,0.000426216],"genre_scores_gemma":[0.9996122,0.00001793769,0.00028008493,0.000014866416,0.00005975663,3.005316e-7,8.497152e-7,1.1933173e-7,0.000013855933],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99907136,0.000028940356,0.00025947386,0.00014572055,0.00031218142,0.00018233979],"domain_scores_gemma":[0.99948686,0.000083720945,0.0001386787,0.000025490552,0.00015678603,0.00010844362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008887082,0.00006535628,0.00013052009,0.000015949336,0.00009073705,0.000077639306,0.00022342672,0.000030084928,0.00012386817],"category_scores_gemma":[0.00009265584,0.000019000585,0.000038962426,0.0005566093,0.00007970057,0.00035584005,0.000058198544,0.000119831806,0.0000035152273],"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":[0.0000047917515,0.000018722438,0.44882667,0.0000016132467,4.6503553e-7,4.65055e-7,0.00006242886,0.00001711808,0.5483167,0.00013809055,0.000010588848,0.0026022943],"study_design_scores_gemma":[0.00006794755,0.00013206704,0.99652326,0.000014939509,0.0000019802008,0.00004546972,0.00082142424,0.000033442557,0.0018861196,0.00027648907,0.00013328118,0.000063576066],"about_ca_topic_score_codex":0.00013088246,"about_ca_topic_score_gemma":0.00049258623,"teacher_disagreement_score":0.5476966,"about_ca_system_score_codex":0.00004248267,"about_ca_system_score_gemma":0.000013977659,"threshold_uncertainty_score":0.13562696},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839276,0.000493927,0.000010472467,0.00077288493,0.0000455971,0.00015194618,0.000043113923,0.0000014028444,0.000087923516],"genre_scores_gemma":[0.99944425,0.00006448522,0.00044615255,0.000017180031,0.000022062597,0.0000022952674,8.279017e-7,5.7918385e-7,0.0000021489648],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981688,0.00012460041,0.00050310197,0.000186481,0.0007804015,0.00023656293],"domain_scores_gemma":[0.9986711,0.00033236018,0.00035778375,0.000047989215,0.00049474137,0.00009598849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003575384,0.000093163806,0.0002770158,0.000102197606,0.00004701516,0.000022348639,0.00037858944,0.00003765786,0.00005898139],"category_scores_gemma":[0.00027549017,0.0000328888,0.00004118365,0.0005803555,0.0003389675,0.00014536326,0.00008259293,0.00007930996,0.0000011183608],"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":[0.00004974837,0.00007422626,0.3502701,0.0000039847105,0.00000658235,0.0000030194003,0.00012653132,0.00002026544,0.62691295,0.000088607,0.0000032540215,0.022440758],"study_design_scores_gemma":[0.0004369658,0.0015912679,0.9818949,0.00009762601,0.000019233326,0.000015422444,0.00042753594,0.00010423859,0.013636739,0.0016896779,0.000008121723,0.00007828128],"about_ca_topic_score_codex":0.00019525243,"about_ca_topic_score_gemma":0.0015965987,"teacher_disagreement_score":0.6316248,"about_ca_system_score_codex":0.000041914773,"about_ca_system_score_gemma":0.00006952199,"threshold_uncertainty_score":0.13411663},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99914587,0.00012706433,0.000025901958,0.0003254884,0.0001776179,0.00013185831,0.000041907955,0.000002706922,0.000021613487],"genre_scores_gemma":[0.9988462,0.000056566452,0.00092409254,0.000018432558,0.00013382435,8.8948605e-7,0.0000044616936,2.7008986e-7,0.000015286978],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99907947,0.00001683959,0.00035030892,0.00015652808,0.0002301087,0.00016675243],"domain_scores_gemma":[0.999064,0.00015332692,0.00044203276,0.000020785881,0.00022675803,0.00009309583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046768042,0.00008207748,0.0002455498,0.00005509692,0.00009338982,0.00008630262,0.0002525711,0.00003753137,0.000043389104],"category_scores_gemma":[0.00003768269,0.000026526646,0.00011715358,0.00055549544,0.000059319264,0.0001397063,0.00003341823,0.00004464908,0.0000010466879],"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":[0.000018401928,0.000023133589,0.016338294,0.000004707372,0.00004518488,2.1997911e-7,0.0001717967,0.004595538,0.9720972,0.00007376027,0.000039680894,0.006592061],"study_design_scores_gemma":[0.00013978654,0.0003861707,0.9916028,0.00001390151,0.00012347303,0.0000150627775,0.00020747434,0.004561587,0.0027311305,0.000031873322,0.00010872321,0.00007802434],"about_ca_topic_score_codex":0.00003653642,"about_ca_topic_score_gemma":0.000049853315,"teacher_disagreement_score":0.9752645,"about_ca_system_score_codex":0.0000271519,"about_ca_system_score_gemma":0.000018556364,"threshold_uncertainty_score":0.10817252},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99901456,0.000031665157,0.000012937651,0.0003502625,0.0003113091,0.00012694293,0.00003502233,0.0000026136104,0.000114694616],"genre_scores_gemma":[0.9992781,0.000022527265,0.0005189368,0.0000041847993,0.00012960464,3.500236e-7,0.000006419787,2.0430087e-7,0.000039654915],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988005,0.000032658423,0.00039944725,0.00013425083,0.00045057657,0.00018253336],"domain_scores_gemma":[0.998999,0.00014214632,0.00036989604,0.000029428,0.00038155218,0.000077989826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009229259,0.00006988683,0.0001735276,0.000027744154,0.000076485325,0.000046584108,0.00027375863,0.000033706627,0.000039224877],"category_scores_gemma":[0.00016642456,0.00002215171,0.000044142358,0.0008041713,0.00008172267,0.00043326567,0.0000382705,0.0001367237,0.0000031638515],"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":[0.0000043449954,0.000025980125,0.39648747,0.00000402691,0.0000017217099,3.8870203e-7,0.00007370926,0.00014837622,0.6004258,0.00007487961,0.000050664494,0.0027026846],"study_design_scores_gemma":[0.000058468544,0.00024813798,0.975924,0.000033798995,0.0000062912745,0.000016759499,0.00048600032,0.000021192702,0.022822788,0.00023820272,0.00008028201,0.00006406218],"about_ca_topic_score_codex":0.00007447585,"about_ca_topic_score_gemma":0.00023989081,"teacher_disagreement_score":0.57943654,"about_ca_system_score_codex":0.00004957031,"about_ca_system_score_gemma":0.000026434443,"threshold_uncertainty_score":0.090332046},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991397,0.000041907915,9.250401e-7,0.0005786859,0.000013486193,0.000071311726,0.000037606438,0.0000024894387,0.000113841204],"genre_scores_gemma":[0.9997457,0.000043137497,0.0000044496,0.00003611053,0.00004717947,0.0000034043617,0.000099900375,2.9017863e-7,0.000019796988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996843,0.000014492793,0.00010557156,0.000076922355,0.00003923582,0.00007952034],"domain_scores_gemma":[0.9998935,0.00003246872,0.00003638802,0.000012748223,0.0000022422525,0.000022646174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033956465,0.00003872577,0.00005018533,0.0000039196857,0.000040898838,0.000013365918,0.00006895306,0.000017586524,0.00009412198],"category_scores_gemma":[0.0000028520863,0.000015529895,0.000014225877,0.000064042666,0.00001550902,0.000033713215,0.000026582738,0.000035381174,0.00001554019],"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":[0.0000047675053,0.0000069653142,0.76592207,9.80454e-7,0.0000012174099,5.851428e-7,0.00011033309,0.0000075460207,0.22966672,0.000011892894,0.0000020289335,0.004264913],"study_design_scores_gemma":[0.000048167985,0.000026604272,0.99600875,0.0000038263556,0.0000011976509,2.5926917e-7,0.00013150185,0.0001778488,0.0010141756,0.000006536001,0.0025436808,0.000037422076],"about_ca_topic_score_codex":0.00019844582,"about_ca_topic_score_gemma":0.0018082707,"teacher_disagreement_score":0.23008673,"about_ca_system_score_codex":0.000005616308,"about_ca_system_score_gemma":0.0000016306581,"threshold_uncertainty_score":0.10305697},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811536,0.000111373396,0.00030628653,0.00096229085,0.000028307812,0.00014472693,0.000028209508,0.000007630042,0.0002957954],"genre_scores_gemma":[0.99866724,0.000031289725,0.0011604336,0.00010242837,0.000022389597,0.0000045467987,0.000005559036,3.1022734e-7,0.000005785138],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992153,0.000025169002,0.00016743605,0.00031707407,0.00010143514,0.00017355545],"domain_scores_gemma":[0.9996679,0.00013901669,0.00007881067,0.000018992783,0.000017122144,0.00007818454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031251792,0.00007149261,0.00012332595,0.000008101378,0.00012850859,0.00005428018,0.00016915821,0.000050821494,0.0001036224],"category_scores_gemma":[0.000101763566,0.00003040158,0.000023295672,0.0001657092,0.00033219304,0.00016883636,0.00009072196,0.0000825804,0.000002303458],"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":[0.000024867504,0.000027508768,0.005159432,0.0000029657779,9.0686945e-7,6.357987e-7,0.0001326642,0.000017580816,0.9563875,0.00006574113,0.000040628034,0.038139574],"study_design_scores_gemma":[0.00017376815,0.0004338215,0.96786225,0.000012780671,0.0000055190585,0.000005012485,0.0005961264,0.007481606,0.020478636,0.00074028876,0.0020658562,0.00014430954],"about_ca_topic_score_codex":0.00003100062,"about_ca_topic_score_gemma":0.000005806737,"teacher_disagreement_score":0.9627029,"about_ca_system_score_codex":0.000016597598,"about_ca_system_score_gemma":0.0000073439624,"threshold_uncertainty_score":0.12397404},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99647975,0.0011958304,0.0000025331717,0.0018673049,0.000034045774,0.00028639243,0.00010384383,4.3425948e-7,0.00002987082],"genre_scores_gemma":[0.9997124,0.000046606565,0.000056874116,0.00001562889,0.00015577464,0.0000023441555,0.0000038833828,7.1818715e-7,0.000005765773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988208,0.0002583524,0.00040435823,0.00007356061,0.0001996069,0.00024333436],"domain_scores_gemma":[0.99514043,0.0042612725,0.00017655925,0.000016837985,0.0001387965,0.00026611425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004942662,0.000054594417,0.00029171674,0.00004527326,0.000116253635,0.000035631296,0.00021746181,0.00004995134,0.000033032742],"category_scores_gemma":[0.0032491693,0.000016438486,0.000065516186,0.00025662518,0.000097229546,0.000027245394,0.000015746982,0.00018334178,1.3003934e-7],"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":[0.0018725494,0.000010433568,0.5388987,0.00022142171,0.00006217427,0.000121048106,0.00063089596,0.000111797526,0.18363784,0.000056779438,0.0014036444,0.27297267],"study_design_scores_gemma":[0.0026104655,0.008620644,0.8891079,0.0010370978,0.00006400147,0.00024295025,0.0014216282,0.0027776554,0.08411075,0.00047595662,0.009331459,0.00019950327],"about_ca_topic_score_codex":0.0033864996,"about_ca_topic_score_gemma":0.03974892,"teacher_disagreement_score":0.35020915,"about_ca_system_score_codex":0.000013024033,"about_ca_system_score_gemma":0.00016002204,"threshold_uncertainty_score":0.9777732},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876185,0.00023438993,0.0000063203815,0.010748462,0.000105497726,0.00029946642,0.00048182084,0.000033180364,0.0004723375],"genre_scores_gemma":[0.998311,0.000057323177,0.00034025658,0.0005524636,0.00031246897,0.0000027579415,0.00028117633,0.0000022674956,0.00014027367],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99819314,0.00008690704,0.00043171857,0.0005185536,0.0003678991,0.00040177876],"domain_scores_gemma":[0.99897087,0.000378484,0.00026630095,0.000093073584,0.0000960585,0.00019521627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003539788,0.00020501552,0.00035048707,0.000015745793,0.00010815029,0.000082925624,0.00073261326,0.00021717693,0.000074173884],"category_scores_gemma":[0.0005207767,0.00009087894,0.00008094361,0.00073872047,0.000012069924,0.00017049382,0.00027794,0.00025739887,0.000018867147],"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":[0.000031629854,0.00003706532,0.01224292,0.00001290423,0.00003364366,0.0000016408387,0.0003454347,0.00005041233,0.9726449,0.000009828571,0.010685692,0.0039038851],"study_design_scores_gemma":[0.00071900646,0.00054808287,0.89443856,0.0002507614,0.00016423245,0.000009194198,0.0015437864,0.0017191059,0.034758445,0.00007345341,0.06471636,0.0010590014],"about_ca_topic_score_codex":0.0006861393,"about_ca_topic_score_gemma":0.0015759612,"teacher_disagreement_score":0.9378865,"about_ca_system_score_codex":0.000058829744,"about_ca_system_score_gemma":0.000012858703,"threshold_uncertainty_score":0.37059355},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8416303,0.00066834595,0.00011789147,0.15075892,0.00024285003,0.00036406954,0.000056769924,0.000022232025,0.006138616],"genre_scores_gemma":[0.99273133,0.00042079468,0.00007416892,0.00097446406,0.00031760018,0.00003796399,0.0000042194133,8.979061e-7,0.0054385606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994632,0.000015201661,0.00008100062,0.00014929497,0.00009209271,0.00019921348],"domain_scores_gemma":[0.99970645,0.00012511147,0.00002270063,0.00006752607,0.000008075002,0.00007016336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011473786,0.00006922405,0.000054081396,0.000003954272,0.0002526605,0.000042220592,0.0002367889,0.000020207059,0.00053306314],"category_scores_gemma":[0.000016243319,0.000015365637,0.00003285324,0.000053942807,0.000009656948,0.000032835993,0.000101883044,0.00004072946,0.0003254784],"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":[0.000007738378,0.000014284362,0.00052406953,9.038575e-7,0.0000066592283,3.281499e-7,0.00031931454,0.000017339224,0.257925,0.00012905766,0.05861137,0.6824439],"study_design_scores_gemma":[0.000021210744,0.000080922946,0.011848095,0.000012375438,0.0000032402158,0.0000028606846,0.00039848126,0.00001820095,0.0019542621,0.00010705427,0.9854884,0.0000649089],"about_ca_topic_score_codex":0.00019629413,"about_ca_topic_score_gemma":0.0024210913,"teacher_disagreement_score":0.926877,"about_ca_system_score_codex":0.000017890341,"about_ca_system_score_gemma":0.0000014264002,"threshold_uncertainty_score":0.5836668},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984472,0.0005394129,0.000017419305,0.00064903806,0.00006768666,0.0002145092,0.000034731755,0.0000036435042,0.000026397818],"genre_scores_gemma":[0.9991159,0.00063811743,0.00009107696,0.00007070762,0.00006153885,0.0000032846078,0.000010246687,7.0769704e-7,0.00000842711],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988392,0.00011413515,0.0002898283,0.00027773125,0.0002875069,0.00019162531],"domain_scores_gemma":[0.99855196,0.0008485642,0.00034041778,0.000022719123,0.000048275895,0.0001880403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052169536,0.00015209039,0.00033901207,0.00005844153,0.00012911441,0.00008123503,0.00013627482,0.000058550766,0.000014797713],"category_scores_gemma":[0.00025395345,0.00005818796,0.00006229718,0.00065783784,0.0001443952,0.00028879393,0.00009814055,0.0002072371,6.7435263e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008787478,0.000025071959,0.017639382,0.000018649245,0.00005450023,0.000004586882,0.0006941622,0.00005505249,0.9633239,0.0000055193127,0.00008671044,0.018004626],"study_design_scores_gemma":[0.0002215797,0.0014215868,0.9391108,0.0000743126,0.00013563337,0.000032462984,0.0007044302,0.0005976324,0.057419356,0.0000109653865,0.00014587343,0.00012535662],"about_ca_topic_score_codex":0.00012063541,"about_ca_topic_score_gemma":0.00014801888,"teacher_disagreement_score":0.9214714,"about_ca_system_score_codex":0.0000564939,"about_ca_system_score_gemma":0.000005031945,"threshold_uncertainty_score":0.23728362},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99883085,0.000048202928,0.00013190482,0.00035658033,0.00015612111,0.00007327788,0.00008110749,0.000025837628,0.0002961199],"genre_scores_gemma":[0.9942526,0.000006235305,0.00521831,0.00022693558,0.0002702965,0.0000011161817,0.000017585357,5.48282e-7,0.0000063669936],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988197,0.00002668606,0.00022849736,0.00027214608,0.0003984507,0.0002545392],"domain_scores_gemma":[0.9995704,0.0000642401,0.0001280382,0.000034586883,0.00005962694,0.00014308713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032347976,0.000101385616,0.00017054261,0.000007270912,0.00029048533,0.000059810012,0.00040314486,0.000055892557,0.00027070605],"category_scores_gemma":[0.00016991494,0.000041682357,0.000044942622,0.00035997803,0.0000990478,0.00008183351,0.00019974292,0.000100536345,0.0000048524425],"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":[0.000004867533,0.000025982932,0.057933833,0.0000060020743,0.000002804046,0.0000152305265,0.0001844192,0.0001507427,0.92991275,0.00004379238,0.00017680669,0.011542787],"study_design_scores_gemma":[0.00014600634,0.0008700789,0.84877634,0.00009781662,0.00004767501,0.00012353221,0.00035720464,0.109468415,0.03683222,0.00027161793,0.0024217858,0.0005872878],"about_ca_topic_score_codex":0.00003763503,"about_ca_topic_score_gemma":0.0000062536096,"teacher_disagreement_score":0.89308053,"about_ca_system_score_codex":0.0000055173996,"about_ca_system_score_gemma":0.000012286789,"threshold_uncertainty_score":0.29640412},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962805,0.00002232655,0.0001247212,0.0022651816,0.00009364292,0.00009478672,0.00003631667,0.000021125592,0.0010614191],"genre_scores_gemma":[0.9921315,0.0000020408265,0.007173867,0.00038398753,0.00025637096,0.0000037893742,0.0000062063596,2.6716003e-7,0.00004201134],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994737,0.0000031434065,0.000069693284,0.00019052175,0.00010634293,0.00015662353],"domain_scores_gemma":[0.99973404,0.00008869213,0.00002827162,0.000018480776,0.000030816263,0.00009971878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010850483,0.000043334137,0.000041252002,0.0000035444482,0.00033363054,0.000076076445,0.00020988997,0.000010201286,0.00009488354],"category_scores_gemma":[0.0001344086,0.000017042825,0.000018465467,0.00021926673,0.000075040734,0.00006014692,0.000062273495,0.000035700086,0.000052106985],"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":[0.0000020980815,0.0000056463555,0.0011638938,0.0000010396315,3.9175268e-7,2.81282e-7,0.000044994587,0.000044088058,0.94345236,0.000028479275,0.000104482366,0.05515224],"study_design_scores_gemma":[0.00016034796,0.0010612431,0.23271762,0.000021606473,0.000015446083,0.000015771122,0.0004591169,0.076711245,0.12202071,0.00035014903,0.5660135,0.00045323547],"about_ca_topic_score_codex":0.000014122199,"about_ca_topic_score_gemma":0.000007945121,"teacher_disagreement_score":0.82143164,"about_ca_system_score_codex":0.000008414525,"about_ca_system_score_gemma":0.000008179241,"threshold_uncertainty_score":0.256605},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972267,0.0001598887,0.00003869411,0.0019337292,0.000113869,0.00024010314,0.00012569837,0.000032643104,0.00012867595],"genre_scores_gemma":[0.997929,0.0000685856,0.0012298452,0.0002964183,0.00042304065,0.0000053964286,0.000028904693,0.0000023455864,0.000016495927],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99870235,0.00004105853,0.0004111673,0.00034698303,0.00022010694,0.0002783126],"domain_scores_gemma":[0.99938595,0.0002536475,0.0001228082,0.000024257868,0.000037063317,0.00017626103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025126414,0.00016544783,0.00026099704,0.00004838429,0.000081802034,0.00008025432,0.00016144567,0.000107397456,0.000022022823],"category_scores_gemma":[0.00008438203,0.00008669453,0.000039805705,0.00041186597,0.0000158348,0.000075666074,0.00008765958,0.00012912175,0.0000051369702],"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":[0.00014183628,0.000015884192,0.027951302,0.000026994112,0.000006286048,0.000010797436,0.00086964073,0.00024185242,0.9604857,0.000034945922,0.0000734131,0.010141339],"study_design_scores_gemma":[0.00075103657,0.0006958444,0.94185734,0.00033482656,0.000030378671,0.000056100274,0.00080040074,0.006514309,0.04609536,0.00015920534,0.0022056813,0.0004995123],"about_ca_topic_score_codex":0.0003045134,"about_ca_topic_score_gemma":0.00041332617,"teacher_disagreement_score":0.9143903,"about_ca_system_score_codex":0.0000111214895,"about_ca_system_score_gemma":0.000007693982,"threshold_uncertainty_score":0.35353002},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913917,0.000095574615,0.000004279779,0.007683185,0.000052979467,0.00005468297,0.0000023435755,0.0000022566876,0.0007129929],"genre_scores_gemma":[0.9994159,0.000028429069,0.00014831679,0.00014998188,0.00025244232,2.360603e-7,3.6626142e-7,1.2806161e-7,0.0000042070847],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991407,0.000036977577,0.00020007092,0.000096259144,0.00038926175,0.00013673671],"domain_scores_gemma":[0.9993914,0.0000698683,0.00019343673,0.000010503494,0.0002664364,0.00006840271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004582102,0.000057138666,0.00010375477,0.00001246942,0.00011272272,0.000054034528,0.00043816268,0.00002216564,0.000034446017],"category_scores_gemma":[0.0001124448,0.000013734384,0.000057688292,0.0010922753,0.000071369264,0.00018111139,0.000024483092,0.00013222378,0.0000012061527],"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":[0.000010508145,0.000020691648,0.010762421,0.0000013592514,0.0000024455098,0.0000017478952,0.0014256453,0.0001394429,0.98512495,0.00032890038,0.00022002909,0.001961864],"study_design_scores_gemma":[0.000048543454,0.00046144062,0.9796674,0.000011884846,0.0000059224567,0.000070343616,0.0071652005,0.00007516038,0.012050292,0.00012423287,0.00026744607,0.000052105534],"about_ca_topic_score_codex":0.00011763695,"about_ca_topic_score_gemma":0.00017213984,"teacher_disagreement_score":0.9730747,"about_ca_system_score_codex":0.000026595506,"about_ca_system_score_gemma":0.000016450338,"threshold_uncertainty_score":0.086698346},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939841,0.00003742236,0.00034169946,0.005493802,0.000037322454,0.00006450102,0.000010589535,0.0000050442973,0.000025503456],"genre_scores_gemma":[0.9993152,0.000022425047,0.0004588365,0.00011484121,0.00007812497,3.7991322e-7,0.000003910211,2.146171e-7,0.0000060603797],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99907357,0.00007024638,0.00038290472,0.00014473528,0.00021992356,0.00010859667],"domain_scores_gemma":[0.99876237,0.00042849904,0.00051591964,0.000020512938,0.00013142542,0.00014127811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176557,0.00007454293,0.00029385905,0.0000400807,0.000112886984,0.00006874892,0.0001625576,0.000037280566,0.000050749466],"category_scores_gemma":[0.0002485568,0.000021628202,0.00008590939,0.00090566475,0.000056319564,0.00021727092,0.000024862422,0.00007650514,8.6491116e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006492013,0.000010845813,0.003915658,0.0000020298853,0.000085048036,9.872239e-7,0.00012313905,0.016821086,0.9726194,0.000033853994,0.000077145465,0.0056616054],"study_design_scores_gemma":[0.00015445164,0.0016103658,0.96423423,0.000017481518,0.00028229988,0.000026694855,0.00046539697,0.014764383,0.01825171,0.000028378092,0.00007792169,0.000086679516],"about_ca_topic_score_codex":0.00008701916,"about_ca_topic_score_gemma":0.000084794665,"teacher_disagreement_score":0.96031857,"about_ca_system_score_codex":0.000019090407,"about_ca_system_score_gemma":0.000022470213,"threshold_uncertainty_score":0.088197246},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628276,0.00003088043,0.0000010244787,0.0022573406,0.000068480906,0.000034721597,0.000008061559,0.0000032364292,0.0013135057],"genre_scores_gemma":[0.9990384,0.00001027892,0.000028667862,0.0008526533,0.000038788272,7.723256e-7,0.0000015565818,1.2605241e-7,0.000028772361],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99932927,0.0000056937083,0.00006774962,0.00018200387,0.00022271673,0.00019255474],"domain_scores_gemma":[0.99982005,0.000018471916,0.000017542854,0.00001729749,0.0000045682204,0.00012204618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008330156,0.00004198846,0.000046726895,0.000002880123,0.00009964098,0.000035521363,0.00030015863,0.000008888428,0.0001609686],"category_scores_gemma":[0.000025374788,0.000015921987,0.000007427685,0.00035721814,0.000055388336,0.000052042964,0.00006983426,0.000042433072,0.000016535521],"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":[0.0000015963527,0.0000034164457,0.08684981,6.3681733e-7,2.1603215e-7,0.000007923608,0.00004235761,0.00009396237,0.89694244,0.000032462623,0.00029306143,0.015732126],"study_design_scores_gemma":[0.0000383878,0.000036513604,0.9441959,0.0000041748613,6.474554e-7,0.0000017484432,0.0001971506,0.0017621787,0.020873416,0.00003259195,0.032754324,0.0001029315],"about_ca_topic_score_codex":0.36672315,"about_ca_topic_score_gemma":0.5971742,"teacher_disagreement_score":0.876069,"about_ca_system_score_codex":0.000050067953,"about_ca_system_score_gemma":0.00006138444,"threshold_uncertainty_score":0.6374939},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99878263,0.0001824791,0.000047672165,0.00028017393,0.00025009734,0.00004485119,0.000030928302,0.0000053416684,0.0003758397],"genre_scores_gemma":[0.9974029,0.000036928857,0.0023336248,0.000023152226,0.00017079669,2.1672656e-7,0.0000058197875,3.5250875e-7,0.000026212863],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978328,0.00007618326,0.0005927026,0.00025405065,0.00092797534,0.00031632595],"domain_scores_gemma":[0.99768704,0.00015792486,0.00058233546,0.000061902945,0.0013115522,0.00019925713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011734882,0.00012764725,0.0003592236,0.000036535854,0.00027728186,0.00023650042,0.0004887095,0.00004562542,0.00021800272],"category_scores_gemma":[0.0001624078,0.00004170405,0.00030994,0.0028219349,0.00021696097,0.00039073254,0.00014462191,0.00015171462,5.030125e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034304485,0.00008962477,0.16131261,0.000003633279,0.000036706846,0.000007054973,0.000035597805,0.00082253816,0.8366142,0.00002661501,0.000008638343,0.0010393723],"study_design_scores_gemma":[0.00007080749,0.00016429515,0.87340283,0.000022144277,0.00010871147,0.00012592721,0.000534917,0.0003674986,0.12496971,0.000035664787,0.00008798918,0.000109467386],"about_ca_topic_score_codex":0.00006878212,"about_ca_topic_score_gemma":0.00015475356,"teacher_disagreement_score":0.71209025,"about_ca_system_score_codex":0.00012135613,"about_ca_system_score_gemma":0.00008602452,"threshold_uncertainty_score":0.2386977},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998672,0.00007892614,0.000102138176,0.00028502295,0.00028385918,0.00007708382,0.00007856147,0.0000022196218,0.0004201869],"genre_scores_gemma":[0.99491733,0.000041337116,0.004966356,0.00001776505,0.000011974418,0.0000015742205,0.000009096566,1.7481638e-7,0.000034412864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991166,0.00006509344,0.000290733,0.00017485704,0.000218483,0.000134248],"domain_scores_gemma":[0.9996062,0.00014131649,0.00013903284,0.0000570555,0.000034977824,0.000021415704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014225488,0.000046880265,0.00017623944,0.000013228794,0.000047782454,0.000018848945,0.0002923662,0.000035020443,0.000026613801],"category_scores_gemma":[0.00048553455,0.000016719929,0.000037487833,0.00081288,0.00015072453,0.000060162107,0.00007572381,0.000055755074,5.368228e-7],"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":[0.000027803964,0.000065596345,0.56137127,0.000010899849,0.0000030967296,0.000003065227,0.0002583565,0.003913636,0.40877375,0.0008247572,0.00070041686,0.024047332],"study_design_scores_gemma":[0.00012785805,0.000024125378,0.7563377,0.00009102334,0.000005261809,0.000017891387,0.00038222515,0.029427623,0.21153231,0.0015517963,0.00041131157,0.00009089224],"about_ca_topic_score_codex":0.00018371695,"about_ca_topic_score_gemma":0.00006702084,"teacher_disagreement_score":0.19724146,"about_ca_system_score_codex":0.000013139116,"about_ca_system_score_gemma":0.000035096557,"threshold_uncertainty_score":0.06818189},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98437655,0.0006449539,0.00007028684,0.0005225293,0.00009365252,0.0004107738,0.01360083,0.000014163331,0.00026624097],"genre_scores_gemma":[0.99777955,0.0006062309,0.00020889768,0.00005251072,0.00017929208,0.0000624207,0.0009465798,0.0000018492716,0.00016266943],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990241,0.00004973044,0.00028332198,0.00026218247,0.0001231525,0.00025750475],"domain_scores_gemma":[0.9990468,0.0005941256,0.000120004974,0.00006475416,0.0001321815,0.000042121366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024513446,0.00012327406,0.00018833856,0.000014098123,0.00020901834,0.000036483798,0.00020168374,0.00006547214,0.00007071582],"category_scores_gemma":[0.00006531487,0.000053131174,0.00005947943,0.00019132449,0.000027193812,0.00004929666,0.00006483796,0.000098536206,0.000003778727],"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":[0.00030516635,0.000074479045,0.00052494515,0.000050420556,0.00007296749,0.000008101529,0.0016233643,0.0030321341,0.98407793,0.00045590705,0.00029632883,0.009478269],"study_design_scores_gemma":[0.0025390978,0.0010896749,0.69298124,0.0010035625,0.00028659063,0.0000867654,0.017369023,0.11578159,0.065938145,0.004501319,0.09654121,0.0018817642],"about_ca_topic_score_codex":0.0003693637,"about_ca_topic_score_gemma":0.0111954,"teacher_disagreement_score":0.91813976,"about_ca_system_score_codex":0.00003952879,"about_ca_system_score_gemma":0.000033312193,"threshold_uncertainty_score":0.6247296},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99923337,0.00025746712,0.000065115026,0.00015065358,0.00011246971,0.000073742005,0.000007174803,0.000001967232,0.00009806788],"genre_scores_gemma":[0.9992523,0.00007325082,0.00055219285,0.000022857284,0.00004742529,7.3780006e-7,0.0000075369344,2.904904e-7,0.000043386073],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985129,0.00008905087,0.0003095287,0.00021887377,0.0006731606,0.00019643863],"domain_scores_gemma":[0.99925417,0.00011858773,0.00027353215,0.000020406205,0.00021878407,0.000114552415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006975949,0.00009409455,0.00016518074,0.000047662346,0.00019918867,0.00019756668,0.00015736505,0.000043684384,0.00007481298],"category_scores_gemma":[0.00012278034,0.000035906556,0.00007446651,0.0012810526,0.00014775997,0.00040328997,0.00005722985,0.00011250698,0.0000018521542],"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":[0.000007268028,0.000055203785,0.28148878,9.285665e-7,0.000026170317,0.000011503956,0.00028170864,0.02400751,0.68722373,0.000025292376,0.0000066167177,0.0068652914],"study_design_scores_gemma":[0.00016451426,0.0001410261,0.9938285,0.000016745807,0.000108289765,0.00006531311,0.0012375321,0.002252058,0.0019456245,0.00012826847,0.000012174601,0.0001000023],"about_ca_topic_score_codex":0.0000804309,"about_ca_topic_score_gemma":0.00085520535,"teacher_disagreement_score":0.7123397,"about_ca_system_score_codex":0.00010312724,"about_ca_system_score_gemma":0.000019443467,"threshold_uncertainty_score":0.19051401},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817216,0.0003570252,0.00017289512,0.0002412279,0.0002502221,0.00026280282,0.0004945994,0.000025299236,0.00002376879],"genre_scores_gemma":[0.99690646,0.000019875184,0.0026940613,0.000037710375,0.00013657221,0.000010321256,0.00010364529,0.0000010022835,0.0000903808],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99892133,0.000015867647,0.00024085058,0.0003758165,0.00019479796,0.00025132697],"domain_scores_gemma":[0.99935836,0.00013609252,0.000103924576,0.00006637,0.00019275723,0.00014249988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022993081,0.00010050404,0.00015048379,0.0000135844675,0.00044908596,0.00023418764,0.00019614676,0.00004491357,0.000022856371],"category_scores_gemma":[0.00027282917,0.000049495797,0.000049229457,0.00033276458,0.00026022966,0.00013044693,0.00010595852,0.000040055907,0.0000011920954],"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":[0.000033334836,0.000031607564,0.14372483,0.0000038780586,0.00000262713,8.092266e-7,0.0001355438,0.00005551689,0.8448998,0.000013123698,0.000045007262,0.011053936],"study_design_scores_gemma":[0.0004949372,0.00014320896,0.8568109,0.00002545846,0.000011602164,0.000009666152,0.00006101698,0.0020505257,0.13918376,0.00047366615,0.00064377766,0.00009144085],"about_ca_topic_score_codex":0.0003716126,"about_ca_topic_score_gemma":0.0004238555,"teacher_disagreement_score":0.7130861,"about_ca_system_score_codex":0.000025055304,"about_ca_system_score_gemma":0.00006728528,"threshold_uncertainty_score":0.34540513},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980826,0.0011028955,0.0000076088727,0.00013982644,0.00030188798,0.00015610282,0.00006664421,0.000006250117,0.00013622621],"genre_scores_gemma":[0.99914557,0.00021513754,0.00052729645,0.00004054722,0.000028035252,0.000006488106,0.00001599323,3.2932942e-7,0.000020616133],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99898475,0.000033234097,0.0002552915,0.0002504258,0.00025871946,0.00021757268],"domain_scores_gemma":[0.99970764,0.000083569124,0.00009238905,0.000030237756,0.000033138047,0.00005301133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005850434,0.00007628618,0.00020911497,0.000052599804,0.00008623959,0.00006181159,0.00017920512,0.00004282531,0.0000042710453],"category_scores_gemma":[0.00021886748,0.000034653516,0.0000149470525,0.0005204573,0.00011867896,0.00017310152,0.000054232798,0.00006624033,3.381471e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025678988,0.000055467925,0.2814245,0.0011947498,0.0000057649504,0.00005558018,0.0025757975,0.0001298582,0.7117202,0.0014459601,0.00056040875,0.00080600963],"study_design_scores_gemma":[0.00084730575,0.0004935764,0.8206511,0.013783235,0.00002820693,0.000517196,0.0316423,0.05579627,0.07080451,0.004285198,0.00024203841,0.00090906094],"about_ca_topic_score_codex":0.000075544835,"about_ca_topic_score_gemma":0.0005470213,"teacher_disagreement_score":0.64091575,"about_ca_system_score_codex":0.000023190305,"about_ca_system_score_gemma":0.000041277443,"threshold_uncertainty_score":0.14131294},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992179,0.00035496152,0.00001868369,0.000044226068,0.000114096416,0.000049149112,0.000006402512,0.0000030515648,0.0001914753],"genre_scores_gemma":[0.99896,0.00004843143,0.0007373186,0.000017431432,0.00023128754,2.1466421e-7,0.0000017814243,6.2658023e-7,0.000002863527],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986893,0.000026403854,0.0004651275,0.000109300156,0.00044554513,0.00026431846],"domain_scores_gemma":[0.9989397,0.00016417923,0.00072277465,0.00003109473,0.0000619659,0.000080321035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010480849,0.000102594146,0.00033250154,0.00009004416,0.00019019982,0.00003586118,0.00030869164,0.000040903367,0.000035770805],"category_scores_gemma":[0.0000121849835,0.000037789676,0.00010886987,0.000577394,0.00013821879,0.00020293292,0.000056146397,0.00008788445,4.815682e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014317944,0.0000460764,0.21063551,0.00001164367,0.000049334354,1.2753277e-7,0.00013466737,0.00094971457,0.7854571,0.00019652692,0.0000023394468,0.0025026423],"study_design_scores_gemma":[0.00010319312,0.00023187726,0.7110344,0.000079864854,0.00022710218,0.000017599004,0.0010373289,0.0037648175,0.2831327,0.00020162284,0.0000201741,0.0001493091],"about_ca_topic_score_codex":0.00002718487,"about_ca_topic_score_gemma":0.000012742589,"teacher_disagreement_score":0.5023244,"about_ca_system_score_codex":0.000010338166,"about_ca_system_score_gemma":0.000016965134,"threshold_uncertainty_score":0.15410182},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896854,0.00020382274,0.00008011303,0.009663973,0.000022366403,0.00008296709,0.000025510113,0.000001624656,0.00023418799],"genre_scores_gemma":[0.9992797,0.00018163466,0.00030684698,0.000063198066,0.00014269515,9.2783165e-7,0.00000940889,4.2631157e-7,0.00001515493],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99920493,0.00009743122,0.0001929447,0.00009654075,0.000265014,0.00014316055],"domain_scores_gemma":[0.9995612,0.000107175954,0.00007510302,0.000015317892,0.000078228964,0.00016301098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048407266,0.000055447035,0.00011761856,0.000017544358,0.00006146478,0.000028891971,0.00008573834,0.00005487315,0.00000925044],"category_scores_gemma":[0.000036974914,0.000021201846,0.00003379955,0.00023237997,0.000021971075,0.00011151427,0.00005024561,0.00027970521,0.0000012670672],"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":[0.000073446536,0.000057141988,0.027588561,0.00001798805,0.000015626274,0.000031632855,0.001019599,0.0011436719,0.93587893,0.00013290305,0.003821755,0.030218722],"study_design_scores_gemma":[0.0005497844,0.0028475476,0.9052671,0.0005213053,0.000026840698,0.00022700182,0.022707894,0.0026549245,0.025936522,0.0030619528,0.03579057,0.00040853402],"about_ca_topic_score_codex":0.000076975484,"about_ca_topic_score_gemma":0.00008004179,"teacher_disagreement_score":0.90994245,"about_ca_system_score_codex":0.000013358073,"about_ca_system_score_gemma":0.000005491765,"threshold_uncertainty_score":0.12151956},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985827,0.00038366547,0.0003217662,0.000024253248,0.00023138877,0.000079920916,0.00030542826,0.000007038222,0.0000638361],"genre_scores_gemma":[0.99437356,0.00010209569,0.0054203845,0.000019772942,0.000040410807,0.0000011679944,0.00003461429,5.909505e-7,0.0000074076315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991086,0.000018243943,0.0001459727,0.00027845716,0.00022120302,0.00022749117],"domain_scores_gemma":[0.9997847,0.000035428347,0.000068010464,0.000028167688,0.00000965761,0.00007403818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021584955,0.000080904494,0.00011659394,0.000027798587,0.00015770373,0.000036038724,0.0001245562,0.0000635343,0.00001023449],"category_scores_gemma":[0.00001766359,0.000037858066,0.000013429516,0.00027661663,0.00021235785,0.00009223066,0.000057085068,0.00012891894,1.1543187e-7],"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":[0.000013261825,0.000018655805,0.5315499,0.0000040244777,0.0000033242306,0.000007236311,0.00021127598,0.00036378653,0.4625706,0.00001514991,0.000019018407,0.005223768],"study_design_scores_gemma":[0.00010349808,0.0000925346,0.9695559,0.000081353224,0.000009953596,0.00007005142,0.0012715999,0.022996176,0.005499433,0.00011509745,0.00011359681,0.00009076549],"about_ca_topic_score_codex":0.000030308922,"about_ca_topic_score_gemma":0.000032993317,"teacher_disagreement_score":0.4570712,"about_ca_system_score_codex":0.00003956902,"about_ca_system_score_gemma":0.000019040752,"threshold_uncertainty_score":0.15438072},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977081,0.00012832163,0.000001445343,0.00019330163,0.00015834617,0.00002531304,0.000026470476,4.0272252e-7,0.0017583163],"genre_scores_gemma":[0.99967146,0.0000019857123,0.00025556827,0.000023540742,0.000027124333,2.1659694e-7,0.0000040020204,1.15715316e-7,0.00001597392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992141,0.000030811818,0.00017663832,0.00007211347,0.00036327727,0.00014304237],"domain_scores_gemma":[0.99893147,0.000083003826,0.0000990379,0.000019448018,0.00069080695,0.00017620748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019427383,0.000031389,0.00006565746,0.000049624334,0.00010502521,0.000042580377,0.00017772269,0.000017495639,0.00017477418],"category_scores_gemma":[0.0006192029,0.000014655649,0.000015223987,0.0005232796,0.00005673543,0.00009104287,0.000007002672,0.00008228026,0.0000010185481],"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":[9.989585e-7,0.000010514586,0.56952596,0.0000012818513,0.0000024756787,0.00004271287,0.00040240423,0.0019055412,0.40273967,0.00017283477,0.00009857898,0.025097035],"study_design_scores_gemma":[0.000049453472,0.00003989748,0.9930569,0.00006969776,0.000008940149,0.00016929966,0.00029952737,0.0011639101,0.0039053985,0.00043155908,0.0007644161,0.00004102003],"about_ca_topic_score_codex":0.18665437,"about_ca_topic_score_gemma":0.9776412,"teacher_disagreement_score":0.79098684,"about_ca_system_score_codex":0.00015092539,"about_ca_system_score_gemma":0.0030133324,"threshold_uncertainty_score":0.81876177},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000027805176,0.0011476772,9.4891425e-7,0.13098283,0.000667394,0.0006250403,0.8665064,0.000013207891,0.000028705796],"genre_scores_gemma":[0.00006117646,0.00093655067,0.00017690788,0.0024814513,0.00025447726,0.00008289917,0.9956124,0.0000031585594,0.00039100208],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99641174,0.00038657468,0.0013038345,0.0006039474,0.0009557317,0.00033814705],"domain_scores_gemma":[0.9960375,0.00017639606,0.00097038836,0.00040108102,0.0022243946,0.00019028537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010827271,0.0003876826,0.0007571867,0.00009952233,0.00016058453,0.0001506275,0.0012965986,0.0006068186,0.0008167817],"category_scores_gemma":[0.0018363253,0.00015673682,0.0004860851,0.0017355846,0.00011954506,0.00013752382,0.0005364682,0.00075028226,0.000024120895],"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":[0.000005319895,0.0002620119,0.00003882703,0.001536491,0.000038496797,3.809896e-7,0.000027444934,1.1689453e-7,0.00018373708,0.000018819828,0.9938072,0.004081158],"study_design_scores_gemma":[0.00022662758,0.000087135995,0.00839973,0.006985742,0.00005602756,0.000027171376,0.00003948414,0.000003017587,0.00009784675,0.000011538927,0.9838067,0.0002589212],"about_ca_topic_score_codex":0.00027564794,"about_ca_topic_score_gemma":0.00019789192,"teacher_disagreement_score":0.12910599,"about_ca_system_score_codex":0.00006636778,"about_ca_system_score_gemma":0.000104401115,"threshold_uncertainty_score":0.8943187},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762136,0.0004640483,0.000002214174,0.00023560534,0.00006688104,0.00066768005,0.00036810574,0.000010687963,0.0005633979],"genre_scores_gemma":[0.9989514,0.00020491939,0.00018570453,0.0000031227535,0.00010144598,0.000042872125,0.00041350734,0.000001656009,0.00009539458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796975,0.00039384668,0.00038805068,0.00033177456,0.0005505182,0.00036604414],"domain_scores_gemma":[0.9988657,0.0005962749,0.00013545802,0.00010201804,0.00022525688,0.00007525655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014671221,0.000117568234,0.00025845508,0.00010113967,0.00012063811,0.000043097367,0.0004886767,0.0001401979,0.0005358067],"category_scores_gemma":[0.00016396226,0.000056951816,0.00010495103,0.0006982141,0.0000837542,0.00001695262,0.0009404909,0.0006363936,0.0000015645105],"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":[0.000051685693,0.00033420188,0.7628374,0.00061755534,0.000028804603,0.000017385079,0.0006971391,0.024758825,0.13464125,0.00024715348,0.00008972578,0.07567887],"study_design_scores_gemma":[0.0001749271,0.00096546137,0.969671,0.0007139074,0.00000938227,8.253267e-7,0.0022720133,0.017221086,0.0017197308,0.004891406,0.002086248,0.00027398884],"about_ca_topic_score_codex":0.0033333965,"about_ca_topic_score_gemma":0.0018658915,"teacher_disagreement_score":0.20683362,"about_ca_system_score_codex":0.00004581612,"about_ca_system_score_gemma":0.00004614663,"threshold_uncertainty_score":0.58667076},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05068246,0.0023365358,0.000046452365,0.00060449424,0.0009769838,0.0021054025,0.017439501,0.00014771854,0.92566043],"genre_scores_gemma":[0.0991471,0.00043462028,0.0002971926,0.0002585454,0.0013137229,0.000011285622,0.00638405,0.0000070709116,0.8921464],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889994,0.000012777935,0.00030602908,0.00042760978,0.00023124606,0.0001223869],"domain_scores_gemma":[0.999437,0.000079981095,0.00021275172,0.00015835842,0.000014696894,0.00009720994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011697667,0.00018718858,0.00044502426,0.000024841784,0.00005231872,0.00002315928,0.00048754812,0.00018836625,0.00063039915],"category_scores_gemma":[0.000008997112,0.000075631106,0.00021699275,0.000022946597,0.00005551066,0.000008923269,0.0002888755,0.0001415213,0.000039234066],"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":[0.001527858,0.000077032084,0.00021772379,0.000040091538,0.0031777448,0.0000484001,0.00014950035,0.00006687987,0.075779155,0.006134863,0.001147908,0.91163284],"study_design_scores_gemma":[0.0013700684,0.00041427853,0.0009461512,0.000027704209,0.0018853339,9.0470934e-7,0.000018755873,0.0010403139,0.00017158895,0.00025995105,0.9934604,0.0004045131],"about_ca_topic_score_codex":0.000037034297,"about_ca_topic_score_gemma":0.00013598242,"teacher_disagreement_score":0.99231255,"about_ca_system_score_codex":0.000009998635,"about_ca_system_score_gemma":0.0000064921346,"threshold_uncertainty_score":0.6902428},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988377,0.0004428586,0.000028079383,0.00025695248,0.00006794081,0.000056112574,0.000022496477,0.000002598291,0.0002852642],"genre_scores_gemma":[0.9991268,0.00021965592,0.00039296277,0.000022705088,0.00014958614,9.850703e-7,0.000052040505,3.2414712e-7,0.000034923323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923474,0.000055498662,0.00027888504,0.00013819244,0.00014371215,0.00014895812],"domain_scores_gemma":[0.99966025,0.00007922786,0.00013679989,0.000056496207,0.000008953404,0.000058292717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039038464,0.00006006405,0.00015320478,0.000037067202,0.00009357201,0.00004892554,0.00023973297,0.000032952517,0.0011508272],"category_scores_gemma":[0.000021599852,0.000025214174,0.00007003112,0.00028045484,0.000020103822,0.000093573144,0.00006596105,0.00009544923,0.000006145934],"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":[0.0005994543,0.00089804555,0.5646116,0.0000040017117,0.00072907837,0.00003921857,0.0006745143,0.014762615,0.041691333,0.0001507182,0.00156916,0.37427023],"study_design_scores_gemma":[0.003914769,0.00039963846,0.903952,0.00004033964,0.00038095043,0.000018957671,0.0003764511,0.068855315,0.00037236675,0.00013640588,0.02129103,0.0002617836],"about_ca_topic_score_codex":0.000096185846,"about_ca_topic_score_gemma":0.00018604413,"teacher_disagreement_score":0.37400845,"about_ca_system_score_codex":0.000015301037,"about_ca_system_score_gemma":0.0000017903282,"threshold_uncertainty_score":0.99976224},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99775153,0.00004040927,0.00006877542,0.0011247145,0.00012996681,0.00011196217,0.0004082119,0.000002620669,0.00036180828],"genre_scores_gemma":[0.99850816,0.000007629202,0.0011117659,0.000045289216,0.00029248808,0.0000026488221,0.000015515188,2.855734e-7,0.000016221076],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992255,0.00004013171,0.00013200755,0.00015558733,0.00015932432,0.00028743938],"domain_scores_gemma":[0.9987623,0.00009492523,0.000043944885,0.000032371885,0.0002452919,0.0008211693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010485112,0.00005311871,0.00007317196,0.000048472586,0.00053792034,0.00014676282,0.0003262159,0.000021825337,0.00006668833],"category_scores_gemma":[0.0001679798,0.000019228288,0.00001018612,0.00046622683,0.0002015468,0.00025910663,0.000016775806,0.00014703024,0.0000046968903],"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":[0.000019264247,0.000019048937,0.0023710814,0.0000024045887,0.0000033077492,0.000014808106,0.0018062576,0.000012124697,0.7798389,0.009544202,0.0024367177,0.20393188],"study_design_scores_gemma":[0.000066239794,0.0010540497,0.8602144,0.00002094682,0.00000435687,0.0006707981,0.008043399,0.000038677703,0.011112366,0.0020613477,0.11651248,0.00020092794],"about_ca_topic_score_codex":0.0011212182,"about_ca_topic_score_gemma":0.017247263,"teacher_disagreement_score":0.85784334,"about_ca_system_score_codex":0.000033196364,"about_ca_system_score_gemma":0.00009799333,"threshold_uncertainty_score":0.96243775},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874,0.000104113715,0.00029234524,0.000121320394,0.00015119724,0.00014316876,0.000020855685,0.000010491635,0.00041651225],"genre_scores_gemma":[0.99851876,0.000054953714,0.001099392,0.00003472312,0.00009457118,0.0000046725586,0.0000024652682,5.072928e-7,0.00018994705],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992316,0.000006494585,0.00013732561,0.00022529009,0.000208943,0.0001903451],"domain_scores_gemma":[0.9997102,0.00007024075,0.000067861234,0.000045482517,0.0000516411,0.000054568263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024967306,0.000062849496,0.0000771795,0.00001270334,0.0002941437,0.00004971784,0.00022776806,0.00002555127,0.00016178843],"category_scores_gemma":[0.000028388535,0.000025990426,0.00003650966,0.00017548907,0.00013390723,0.00015272369,0.000068504916,0.000039439397,0.000018290535],"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":[0.0000108330905,0.000058695256,0.0008543672,0.000004022702,0.000001930455,2.6733676e-7,0.00026290384,0.005818487,0.9651034,0.00011317518,0.00006172327,0.027710186],"study_design_scores_gemma":[0.00033048744,0.00080531364,0.029279476,0.000040117575,0.000017636461,0.000008564685,0.0005291847,0.80220395,0.14801246,0.000998455,0.017395802,0.0003785569],"about_ca_topic_score_codex":0.000032595115,"about_ca_topic_score_gemma":0.000012018099,"teacher_disagreement_score":0.8170909,"about_ca_system_score_codex":0.000017187467,"about_ca_system_score_gemma":0.0000032207795,"threshold_uncertainty_score":0.22623454},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8889407,0.0011294417,0.06052348,0.0027128963,0.036177013,0.0007252001,0.009653498,0.000008751237,0.00012902504],"genre_scores_gemma":[0.695286,0.010904909,0.27311477,0.00051770156,0.01905259,0.00001696013,0.00015876735,0.00001048722,0.00093784597],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983517,0.000066614324,0.0007904967,0.00015048211,0.0005059185,0.00013481067],"domain_scores_gemma":[0.96503425,0.000774022,0.0006955698,0.00003302292,0.033339135,0.00012400684],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0013162391,0.00012317998,0.00024968837,0.000032166645,0.00005301164,0.0001159355,0.00037102195,0.000054274606,0.0003728969],"category_scores_gemma":[0.01748733,0.000048649425,0.00006682109,0.0000343532,0.00012294458,0.00014627016,0.00011276454,0.00010102496,0.0000034590835],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057310855,0.00036616236,0.09111488,0.000110147164,0.00036156393,0.000014207881,0.00012019895,0.0000041626317,0.0052558593,0.003532473,0.11784646,0.7807008],"study_design_scores_gemma":[0.002199171,0.0020350383,0.21362007,0.0006375827,0.00013353543,0.00007681151,0.0000399295,0.00033058441,0.0005606737,0.3343108,0.44569376,0.0003620585],"about_ca_topic_score_codex":0.000007588601,"about_ca_topic_score_gemma":0.00006769455,"teacher_disagreement_score":0.7803387,"about_ca_system_score_codex":0.00005971531,"about_ca_system_score_gemma":0.000047600453,"threshold_uncertainty_score":0.9907888},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00097446324,0.00043437054,1.0414759e-7,0.0003012239,0.0004037153,0.00018094435,0.00017845255,0.000062044746,0.99746466],"genre_scores_gemma":[0.008050328,0.00016627328,0.000034303608,0.00022559082,0.0016619846,0.0000058246874,0.000031814092,0.0000037472992,0.9898201],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988109,0.000008375908,0.00025096047,0.00037078984,0.00025728036,0.00030171385],"domain_scores_gemma":[0.99947965,0.00010867708,0.00015181307,0.00007320631,0.00005378275,0.00013286216],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015951724,0.00028981143,0.000292299,0.000016155625,0.00015399662,0.00006680924,0.0003134402,0.00030855832,0.0019528079],"category_scores_gemma":[0.00000676214,0.00009357725,0.00019196322,0.000007718,0.000053009386,0.000018043575,0.00012863989,0.00020204576,0.00055986],"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":[0.0000039794395,0.0000011961304,0.000017416227,0.0000063701095,0.000018535207,0.000011129583,0.0000075720686,1.0552512e-8,0.01283854,0.0053610797,0.00036622,0.98136795],"study_design_scores_gemma":[0.000048504324,0.0000864648,0.00013371615,0.00026213532,0.00002601926,0.000021736723,0.0000027325761,5.456183e-7,0.00012507741,0.013879849,0.985085,0.0003281999],"about_ca_topic_score_codex":5.9604696e-7,"about_ca_topic_score_gemma":0.000054517004,"teacher_disagreement_score":0.9847188,"about_ca_system_score_codex":0.000023717184,"about_ca_system_score_gemma":0.000008350989,"threshold_uncertainty_score":0.99895954},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8879619,0.08298088,0.0024153537,0.0053895,0.0018458646,0.0005553221,0.00018242639,0.00021553182,0.018453179],"genre_scores_gemma":[0.97794145,0.011137887,0.004458292,0.0013207982,0.0012173002,0.000016456797,0.00020192549,0.000006408624,0.0036994633],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974637,0.00030609153,0.00040152756,0.0006943397,0.0005946083,0.0005397001],"domain_scores_gemma":[0.9972854,0.001347102,0.00027586156,0.00022022342,0.00022846977,0.0006429086],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019192582,0.00031158034,0.0004117208,0.00015297846,0.00020014196,0.00061741564,0.0005489311,0.00021007226,0.0010234998],"category_scores_gemma":[0.0009005289,0.00014308965,0.00016520298,0.002985306,0.00009132233,0.00039757037,0.00012775348,0.00029023073,0.000430394],"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":[0.0012489666,0.00059353403,0.07844077,0.000030138095,0.0012870231,0.000042953474,0.0011255924,0.00024114037,0.049458735,0.0043182704,0.47262853,0.39058435],"study_design_scores_gemma":[0.0003603108,0.000377382,0.066598825,0.000023727163,0.00038255373,0.00004858509,0.0012450557,0.00005246838,0.000118416916,0.004189139,0.92614335,0.0004601911],"about_ca_topic_score_codex":0.0015557437,"about_ca_topic_score_gemma":0.0006165534,"teacher_disagreement_score":0.4535148,"about_ca_system_score_codex":0.000027115018,"about_ca_system_score_gemma":0.000058949307,"threshold_uncertainty_score":0.9998897},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010738355,0.0010438283,3.8627572e-8,0.00014488345,0.000405532,0.00018777062,0.00013644621,0.0000627178,0.99694496],"genre_scores_gemma":[0.007048849,0.000082242965,0.00005741735,0.0001630394,0.0014190079,0.0000049615637,0.000105470055,0.0000036897063,0.99111533],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987742,0.000009300103,0.00024989393,0.00034735282,0.00034121383,0.00027808532],"domain_scores_gemma":[0.9994315,0.00006434976,0.0001460273,0.00007090015,0.00009803929,0.0001891835],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025419492,0.0002882365,0.00031559114,0.000015706455,0.00011953305,0.0000802338,0.00031514416,0.00031723286,0.0010484365],"category_scores_gemma":[0.000009860476,0.00011101783,0.00015422876,0.000011119092,0.00004496475,0.000017131417,0.00014100011,0.0002828325,0.0003763349],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045226643,0.0000017362177,0.000012945962,0.000006622333,0.000018146624,0.000014467526,0.000016642614,1.5920865e-7,0.0027890569,0.002237339,0.0020027172,0.99289566],"study_design_scores_gemma":[0.00004771454,0.00011563609,0.000067201785,0.00012227506,0.00003345286,0.000026979238,0.000008875365,0.0000030477202,0.000029802924,0.013239318,0.98598063,0.00032508868],"about_ca_topic_score_codex":0.0000023371178,"about_ca_topic_score_gemma":0.00011507916,"teacher_disagreement_score":0.9925706,"about_ca_system_score_codex":0.00003135731,"about_ca_system_score_gemma":0.000014854459,"threshold_uncertainty_score":0.99986476},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99662215,0.0014170385,0.0000020238726,0.00038453078,0.0008186539,0.00032490178,0.0003572588,0.00004170587,0.000031767322],"genre_scores_gemma":[0.9983777,0.0010299631,0.00018744789,0.00006441849,0.0002738878,0.000052848383,8.120779e-7,0.000004622047,0.0000082995875],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983574,0.000111197616,0.00042845134,0.00045432625,0.00027522387,0.00037337124],"domain_scores_gemma":[0.9990396,0.00023628713,0.00028752087,0.00024271222,0.000104955136,0.0000889197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008553318,0.00024242864,0.00029545874,0.000030709332,0.00023378039,0.00012116586,0.0008204922,0.0002336343,0.00015189395],"category_scores_gemma":[0.000083799656,0.00010670858,0.00012488401,0.00036498014,0.000064266285,0.00002588871,0.00071665016,0.0006148751,0.000007557298],"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":[0.000016634818,0.00005700601,0.02567869,0.000035299163,0.00002580068,0.00001550118,0.000009232723,0.00015836033,0.9734924,0.00035195495,0.00013640661,0.000022754255],"study_design_scores_gemma":[0.00015008534,0.00009945731,0.8372844,0.0001054794,0.000028857974,1.0373059e-8,0.000024666395,0.00035590553,0.059439063,0.000014087373,0.10193833,0.0005596955],"about_ca_topic_score_codex":0.00025658656,"about_ca_topic_score_gemma":0.00010196203,"teacher_disagreement_score":0.9140533,"about_ca_system_score_codex":0.00009035162,"about_ca_system_score_gemma":0.00007691882,"threshold_uncertainty_score":0.43514496},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989153,0.00004278655,0.000019233721,0.00039080053,0.00015946549,0.00026528552,0.00007760419,0.000015157485,0.00011436041],"genre_scores_gemma":[0.9994467,0.0000018624049,0.00029976398,0.000017423523,0.000043975797,0.00003348514,0.00006331989,5.60302e-7,0.00009292305],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99926704,0.000033678247,0.00013815705,0.00023053959,0.00014423406,0.00018635082],"domain_scores_gemma":[0.9997328,0.00006170589,0.00008653583,0.000026695478,0.00004593692,0.00004633805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003516627,0.00006623474,0.0000953953,0.000015588685,0.0005416216,0.0000620944,0.00013921499,0.000022346363,0.00021012124],"category_scores_gemma":[0.00001155371,0.000032942677,0.000054816766,0.00019146729,0.000053370703,0.00007803658,0.00013628326,0.00005684323,7.559094e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044368226,0.000054204836,0.119918615,0.000010526784,0.000015845608,1.7301308e-7,0.00019059815,0.000031418804,0.8649586,0.0001849773,0.0007097883,0.013880892],"study_design_scores_gemma":[0.00050291495,0.001346839,0.92688423,0.000009467937,0.00005482921,0.00002755145,0.0015314324,0.0019533497,0.03494049,0.0022267262,0.03016925,0.00035291226],"about_ca_topic_score_codex":0.00016937412,"about_ca_topic_score_gemma":0.00004833178,"teacher_disagreement_score":0.8300181,"about_ca_system_score_codex":0.000011246539,"about_ca_system_score_gemma":0.00000926,"threshold_uncertainty_score":0.416577},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99502164,0.002648314,0.00007881656,0.00024763783,0.00018831591,0.00032121077,0.00038220416,0.000006212234,0.0011056548],"genre_scores_gemma":[0.99668455,0.002342577,0.0006630276,0.00008244108,0.00008595998,0.00001746957,0.00004309778,0.0000022211634,0.00007862636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805915,0.00030944383,0.0005935615,0.00033723487,0.00043172817,0.00026887408],"domain_scores_gemma":[0.9979633,0.0009897838,0.000475963,0.000073602896,0.00034264303,0.00015469587],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009796014,0.0001855612,0.00055680826,0.00009401661,0.00030805107,0.00029993395,0.0014014668,0.00009160644,0.0031332013],"category_scores_gemma":[0.00022890374,0.00008810683,0.00017890237,0.0008850874,0.00005437886,0.00042302808,0.0011673264,0.00017852694,6.863462e-7],"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":[0.000031502852,0.00019582201,0.6407043,0.000034998673,0.00004162862,0.000009568948,0.00040563883,0.00014010111,0.34748912,0.000056121542,0.00078332826,0.010107888],"study_design_scores_gemma":[0.00028265998,0.000020193735,0.9889473,0.00017653183,0.000025841127,0.000003324774,0.0009288688,0.00012288327,0.003891412,0.005049272,0.00035571697,0.00019599829],"about_ca_topic_score_codex":0.001028528,"about_ca_topic_score_gemma":0.0014203973,"teacher_disagreement_score":0.348243,"about_ca_system_score_codex":0.000031605403,"about_ca_system_score_gemma":0.000057594494,"threshold_uncertainty_score":0.99777806},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946535,0.000056538156,0.0000022565432,0.00011951415,0.000038046113,0.00007099391,0.00011871802,0.000003786072,0.00012482065],"genre_scores_gemma":[0.9996975,0.000038290502,0.00021133485,0.000017798924,0.00000639246,0.0000028071609,0.000014043017,2.9223375e-7,0.00001151684],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992967,0.00001940067,0.00012584109,0.00019338385,0.00022650172,0.00013812249],"domain_scores_gemma":[0.9997746,0.000050991788,0.00006750805,0.000031578522,0.000007539952,0.0000678226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020997951,0.00006602327,0.00010078953,0.000011365842,0.00020905994,0.00001751599,0.00013014949,0.000019601399,0.00015444579],"category_scores_gemma":[0.000033581524,0.000035278947,0.000014878235,0.0001041153,0.00078108616,0.000101426616,0.00020889848,0.00006443832,7.998728e-8],"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":[0.000011511389,0.000015072663,0.011104139,0.0000048641823,5.236462e-7,4.5038874e-7,0.00020980187,0.0000012674649,0.95448035,0.00037485556,5.8773185e-7,0.033796597],"study_design_scores_gemma":[0.0000724205,0.00044667698,0.5227324,0.000007726108,0.0000040632017,0.000030572006,0.0019314531,0.0003087435,0.47294253,0.0012671816,0.00015408943,0.00010216311],"about_ca_topic_score_codex":0.00011413122,"about_ca_topic_score_gemma":0.000033758686,"teacher_disagreement_score":0.51162827,"about_ca_system_score_codex":0.0000055020514,"about_ca_system_score_gemma":0.000007256624,"threshold_uncertainty_score":0.28779444},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997882,0.00049499737,0.00008237216,0.0001249275,0.00024531587,0.00060781423,0.0005279279,0.00003193515,0.0000027213737],"genre_scores_gemma":[0.99920136,0.0004166646,0.00017574441,0.000024580408,0.00009009021,0.00008112296,0.000004020073,0.0000043647306,0.0000020817167],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987453,0.000052797935,0.0003051069,0.00054052385,0.00014818143,0.00020804703],"domain_scores_gemma":[0.99931186,0.0002650102,0.00021941624,0.00007551114,0.000052096406,0.000076109805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004356985,0.00020979941,0.00025438724,0.000033271433,0.0001555338,0.000058782483,0.0001022085,0.00018889281,0.00005610361],"category_scores_gemma":[0.00010734453,0.00013270197,0.000047766196,0.00013916653,0.000037864822,0.000051119503,0.00017056697,0.00030417283,3.3424828e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006687811,0.00007959743,0.039453484,0.00009176085,0.000016784648,8.491547e-7,0.000017419661,0.000099001525,0.9599879,0.000009645363,0.00002906616,0.00014760937],"study_design_scores_gemma":[0.0004850725,0.0011332306,0.5056546,0.00022404165,0.00012756971,1.8232546e-7,0.00020030345,0.006921919,0.47117275,0.00002481059,0.012930048,0.0011255237],"about_ca_topic_score_codex":0.000647363,"about_ca_topic_score_gemma":0.0002481345,"teacher_disagreement_score":0.48881516,"about_ca_system_score_codex":0.00010822271,"about_ca_system_score_gemma":0.000013293595,"threshold_uncertainty_score":0.5411429},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27203327,0.0006527978,0.7193438,0.0034422036,0.00004032196,0.00019962165,0.000031580104,0.000069378926,0.0041870233],"genre_scores_gemma":[0.5339903,0.00013792023,0.46521747,0.00012553378,0.000022524646,0.0000067846986,0.00005750929,0.0000014926076,0.00044042367],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959517,0.0031510708,0.0002304981,0.00032854866,0.00010575826,0.00023241532],"domain_scores_gemma":[0.99472845,0.004514635,0.00013970939,0.00012959172,0.00038672832,0.00010090774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0092671495,0.00012973885,0.00017950982,0.000019418423,0.00035240653,0.00018162125,0.00030826151,0.00007936585,0.000036519676],"category_scores_gemma":[0.00064542494,0.00006818655,0.00008931716,0.00015817067,0.000042499087,0.000059456037,0.00009403767,0.000120357814,0.0000017435701],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027998796,0.00008222548,0.00034802398,0.000010084121,0.0000143393845,4.0354652e-7,0.0019362202,0.0001240718,0.15704256,0.09605014,0.000045623063,0.7443183],"study_design_scores_gemma":[0.0006271646,0.000007233068,0.013245277,0.0005988454,0.00007082622,0.000031644093,0.0013698827,0.71954906,0.14519979,0.09094735,0.02771019,0.0006427224],"about_ca_topic_score_codex":0.00027152264,"about_ca_topic_score_gemma":0.00016968834,"teacher_disagreement_score":0.7436756,"about_ca_system_score_codex":0.0000108819195,"about_ca_system_score_gemma":0.000006648264,"threshold_uncertainty_score":0.32118276},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950434,0.0019161686,0.00029069866,0.00013913213,0.00019882347,0.0010069653,0.0013534679,0.00004545693,0.0000058731976],"genre_scores_gemma":[0.99848497,0.00043479502,0.00065642194,0.000032647273,0.00009305498,0.00028802123,0.0000022755385,0.0000049265,0.0000029111623],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987667,0.000052537187,0.0002943897,0.0005249197,0.00012642698,0.00023497673],"domain_scores_gemma":[0.9991898,0.00018305898,0.00024138493,0.00013911333,0.00012381526,0.00012283394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031767515,0.00022712286,0.00029115108,0.000035139914,0.00023829966,0.0000720802,0.0002497644,0.00019197557,0.000027920374],"category_scores_gemma":[0.000031465308,0.0001200408,0.00006394443,0.0002194226,0.00007288273,0.00001887923,0.0002739789,0.00019234173,5.998346e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004795078,0.00011012491,0.020480428,0.00028173608,0.000066225184,0.0000018197709,0.00002196509,0.000050872186,0.97798175,0.00033526504,0.00011919944,0.000502673],"study_design_scores_gemma":[0.00047927277,0.00033555063,0.94745785,0.00015804512,0.00011711259,7.293259e-8,0.000067604444,0.0017835455,0.016655639,0.000033697965,0.032140814,0.0007708134],"about_ca_topic_score_codex":0.00004111954,"about_ca_topic_score_gemma":0.0000044125836,"teacher_disagreement_score":0.9613261,"about_ca_system_score_codex":0.000021119147,"about_ca_system_score_gemma":0.000027453412,"threshold_uncertainty_score":0.4895122},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983064,0.000082714236,0.0000016587211,0.00021726465,0.00012483165,0.000115495815,0.00041926338,0.000031752577,0.0007006106],"genre_scores_gemma":[0.9991121,0.000028114797,0.00006666728,0.00011286699,0.00012811451,0.000017182372,0.00030430575,7.100584e-7,0.00022990275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923944,0.000045718585,0.00012340715,0.000199967,0.000169775,0.00022169598],"domain_scores_gemma":[0.99981195,0.000077237244,0.000040904193,0.000015475855,0.000009639904,0.000044772547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016337722,0.000081001686,0.00009268963,0.000019071262,0.000213919,0.000030970794,0.00016959706,0.000031027805,0.00064670603],"category_scores_gemma":[0.00001801463,0.000037767688,0.000023062856,0.00020828834,0.000006505667,0.000037341073,0.000081265745,0.00013035293,0.0000229794],"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":[0.000056909586,0.000065269174,0.5051954,0.0000031069044,0.0000061966034,0.000012902837,0.0001221239,0.0006618525,0.458831,0.000016006194,0.0019542056,0.03307502],"study_design_scores_gemma":[0.00012918447,0.00012641377,0.9610123,0.000005657781,0.000002469731,0.0000385374,0.00013257627,0.0022685362,0.0011581337,0.000057760553,0.034935452,0.00013299829],"about_ca_topic_score_codex":0.0004460773,"about_ca_topic_score_gemma":0.003971618,"teacher_disagreement_score":0.4576729,"about_ca_system_score_codex":0.000021039406,"about_ca_system_score_gemma":0.0000048637303,"threshold_uncertainty_score":0.70809776},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988512,0.00011482262,0.00031590453,0.00017988683,0.00011339453,0.00032127972,0.00007283219,0.000004051296,0.00002666491],"genre_scores_gemma":[0.9989575,0.000015714582,0.00095618935,0.000018373352,0.00003319765,0.000005766931,0.0000031957243,5.3897566e-7,0.000009500898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982868,0.000090574795,0.0004463435,0.0002179102,0.0007496193,0.00020874641],"domain_scores_gemma":[0.9986289,0.0005648285,0.00036708429,0.00003095637,0.00031439099,0.00009382511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014520107,0.0001015175,0.00022961268,0.00007905932,0.00025797583,0.000054787437,0.00031158217,0.000026998106,0.000009539091],"category_scores_gemma":[0.00022617962,0.000036642832,0.00004739812,0.0012897654,0.000053937234,0.00027688043,0.00007446983,0.00015517826,1.3271122e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020598377,0.00037072235,0.0024497847,0.000004560319,0.000009650677,0.0000059980594,0.0005498616,0.9349306,0.05895649,0.00029394348,0.000043558884,0.002178842],"study_design_scores_gemma":[0.0006289626,0.0041898102,0.779379,0.00003452549,0.000026856216,0.000042036925,0.004881918,0.20873906,0.00037605606,0.0014536884,0.00005287317,0.00019518776],"about_ca_topic_score_codex":0.00008132166,"about_ca_topic_score_gemma":0.000038560902,"teacher_disagreement_score":0.77692926,"about_ca_system_score_codex":0.000054699358,"about_ca_system_score_gemma":0.00002364638,"threshold_uncertainty_score":0.19841675},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99910796,0.00027583263,0.00009019212,0.00025412985,0.000070485214,0.00013103381,0.00002880183,0.0000027955775,0.00003879613],"genre_scores_gemma":[0.99970466,0.00011381951,0.00006865538,0.000018888739,0.000051514682,0.000007404737,0.000014890013,5.6611736e-7,0.000019628209],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995273,0.000028932067,0.00015578164,0.0001170249,0.00007104919,0.000099962905],"domain_scores_gemma":[0.9996705,0.00017591557,0.000093694,0.000010180729,0.000011437207,0.000038286587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000283761,0.00005640731,0.00008015253,0.000011981257,0.00023110813,0.000026111456,0.000034315606,0.000022682705,0.0001232599],"category_scores_gemma":[0.000016596872,0.000029425226,0.000023991954,0.00004680491,0.000013622962,0.000053326185,0.000029216464,0.00012867048,1.08633756e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018370168,0.00011084402,0.12871742,0.000009382517,0.000015971478,0.0000010658316,0.0004505847,0.00049846864,0.65062255,0.000010203733,0.0003173908,0.21906242],"study_design_scores_gemma":[0.0019803722,0.008744934,0.73482484,0.00009920581,0.0001403247,0.0015332828,0.025095716,0.020688048,0.06576495,0.0039045124,0.13601558,0.0012082591],"about_ca_topic_score_codex":0.00023631287,"about_ca_topic_score_gemma":0.0004665341,"teacher_disagreement_score":0.6061074,"about_ca_system_score_codex":0.000046151814,"about_ca_system_score_gemma":0.0000028596066,"threshold_uncertainty_score":0.17775203},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852777,0.00013858532,0.0005855788,0.00034296245,0.00007439246,0.0000874965,0.000038875063,0.000008230848,0.00019608445],"genre_scores_gemma":[0.9988145,0.000039004615,0.0009327102,0.00004371613,0.00004529808,0.000013177614,0.000013660619,2.0312334e-7,0.00009771518],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993009,0.000008504345,0.0000731187,0.00023763315,0.00022654627,0.00015332359],"domain_scores_gemma":[0.99981713,0.000054631037,0.0000366786,0.000024497123,0.0000141707615,0.000052862033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004689611,0.000042788768,0.000058329904,0.000022576043,0.00093188084,0.00009564996,0.00017322101,0.000007636566,0.0002703091],"category_scores_gemma":[0.000008285975,0.000019092935,0.000030568342,0.0006383697,0.000089261935,0.000056561854,0.00011038246,0.000031165033,0.0000010394969],"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":[0.000006652254,0.000013601261,0.008102708,8.795999e-7,0.0000054143393,5.3634534e-7,0.00018567397,0.0022408995,0.89146036,0.00055126194,0.000090262925,0.09734177],"study_design_scores_gemma":[0.00017130279,0.0007078364,0.7378841,0.0000028242578,0.00008590443,0.0000136436365,0.0034885707,0.08071855,0.008924889,0.0012986307,0.16631906,0.00038467703],"about_ca_topic_score_codex":0.0000420477,"about_ca_topic_score_gemma":0.000019928264,"teacher_disagreement_score":0.88253546,"about_ca_system_score_codex":0.000022700006,"about_ca_system_score_gemma":0.000003748003,"threshold_uncertainty_score":0.7167368},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99834067,0.0000434617,7.5685927e-7,0.0011982777,0.00015787879,0.00007212483,0.000037617963,0.0000057418397,0.00014349552],"genre_scores_gemma":[0.9997564,0.000029748973,0.000033758668,0.000040015388,0.00010000188,3.964505e-7,0.0000013432826,4.1583843e-7,0.000037902955],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989925,0.000034730765,0.0002357568,0.00011016317,0.00046355926,0.00016325845],"domain_scores_gemma":[0.99911463,0.00020857892,0.00037613546,0.000020760928,0.00021913605,0.00006073004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042906226,0.00008527657,0.00016984752,0.000028977063,0.00022519164,0.00003232172,0.00029301218,0.000059052258,0.000009479121],"category_scores_gemma":[0.00024878106,0.00002338779,0.00011113148,0.0011204177,0.00009058134,0.00007917544,0.000032324908,0.00013513732,3.8142642e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016874776,0.00004520948,0.0021164257,0.0000055080613,0.000008127479,3.7110402e-7,0.0000957155,0.0011099642,0.99407375,0.000017385788,0.00057411764,0.001936536],"study_design_scores_gemma":[0.0001867185,0.0010318634,0.47323588,0.00022818593,0.000021840244,0.000016130512,0.0004207659,0.0017817944,0.5225964,0.00024329168,0.00014301724,0.00009406221],"about_ca_topic_score_codex":0.000020550622,"about_ca_topic_score_gemma":0.00010842968,"teacher_disagreement_score":0.47147733,"about_ca_system_score_codex":0.000012168574,"about_ca_system_score_gemma":0.000021784193,"threshold_uncertainty_score":0.17320149},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970225,0.000023766706,0.0000100986135,0.002095478,0.0002874497,0.00005348691,0.00012724378,0.000016496959,0.00036349412],"genre_scores_gemma":[0.9992336,0.000038332484,0.00001222038,0.0003728569,0.00024410966,0.0000011350078,0.00006712557,7.092138e-7,0.000029893885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886066,0.00014185873,0.00034018065,0.0002016128,0.00017192843,0.00028375362],"domain_scores_gemma":[0.9986534,0.0008378708,0.00024957993,0.00006170347,0.00006151181,0.00013590828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056862825,0.00013233809,0.00033068942,0.00010608024,0.00012053764,0.00003187356,0.00029322968,0.0001017188,0.0006905694],"category_scores_gemma":[0.00014849071,0.000046082838,0.00025801393,0.0006009285,0.000056806057,0.000019420113,0.000031470863,0.0002026179,0.000029915247],"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":[0.0002781775,0.00016318186,0.81986004,0.000006103816,0.00017300475,0.00003381099,0.000043574295,0.00030641208,0.13612582,0.00007101975,0.0012634682,0.041675404],"study_design_scores_gemma":[0.00013244794,0.0020624697,0.98833436,0.000022368078,0.0000682233,0.0000044730064,0.00010980838,0.00073978124,0.0061884136,0.00026288998,0.0019557772,0.00011897776],"about_ca_topic_score_codex":0.00003337009,"about_ca_topic_score_gemma":0.0002731465,"teacher_disagreement_score":0.16847435,"about_ca_system_score_codex":0.00001677919,"about_ca_system_score_gemma":0.000009125987,"threshold_uncertainty_score":0.75612503},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909955,0.00020218398,4.838128e-7,0.00024378435,0.00004736824,0.000100607096,0.00020445218,0.000026930273,0.000074638585],"genre_scores_gemma":[0.9980826,0.00028345114,0.00000571732,0.000034355016,0.000023596187,0.0000074059676,0.00061586587,7.2708207e-7,0.00094628555],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919903,0.00004843343,0.00014404043,0.00021644677,0.00016462052,0.0002274356],"domain_scores_gemma":[0.99970347,0.00013307342,0.000047258232,0.000025632497,0.00003617032,0.000054415035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019716608,0.00009824214,0.00018985398,0.000040325718,0.00013570173,0.00006898786,0.000073640986,0.00005915465,0.000054546323],"category_scores_gemma":[0.000018944495,0.00003067947,0.00003524619,0.00022340084,0.000031688636,0.000040774994,0.000059067468,0.00006012118,0.000018554667],"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":[0.00004909227,0.000020434873,0.3138917,0.0000020185266,0.00013453934,0.00004648793,0.00052231457,0.000046037396,0.6840875,0.0000017032135,0.00009456218,0.0011035954],"study_design_scores_gemma":[0.00019380977,0.000079041485,0.9662714,0.000039187948,0.00004634247,0.000002608244,0.0007534544,0.00043973353,0.0318628,0.000028174663,0.00016411493,0.0001193148],"about_ca_topic_score_codex":0.0014270747,"about_ca_topic_score_gemma":0.0038905707,"teacher_disagreement_score":0.6523797,"about_ca_system_score_codex":0.000008927096,"about_ca_system_score_gemma":0.0000013748681,"threshold_uncertainty_score":0.21710297},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012634438,0.99737674,4.9527745e-7,0.000041757467,0.0001770886,0.0005385824,0.0001584296,0.00015182473,0.00029164774],"genre_scores_gemma":[0.00037315305,0.9955995,0.00006477356,0.000004528114,0.00032305837,0.000118943775,0.0028040104,0.000005398789,0.00070664415],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982997,0.00013218685,0.00044374896,0.000479848,0.00021837406,0.00042609574],"domain_scores_gemma":[0.99943614,0.00019855476,0.00021507451,0.000050306084,0.000013967737,0.000085943946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041277678,0.00034438458,0.00091861,0.00005006449,0.000139453,0.00013238494,0.00037766382,0.00030637396,0.00003303917],"category_scores_gemma":[0.000024858407,0.00012276362,0.00026748056,0.0005843075,0.000022606284,0.000023821116,0.00016363329,0.0003481856,0.00007676153],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030494489,0.00002702587,0.00035594116,0.00093098823,0.000031678654,0.000017690023,0.000018358473,0.0000070795986,0.000041490526,0.000018014813,0.000023262677,0.99852544],"study_design_scores_gemma":[0.000058856134,0.00010195375,0.00019179721,0.0023892007,0.000077442266,0.00004934274,0.00004864084,0.0008995272,0.0000014978891,0.000026994365,0.9957897,0.00036505391],"about_ca_topic_score_codex":0.00042204052,"about_ca_topic_score_gemma":0.001673797,"teacher_disagreement_score":0.99816036,"about_ca_system_score_codex":0.000026043646,"about_ca_system_score_gemma":0.000014866144,"threshold_uncertainty_score":0.50061554},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99528116,0.00010774842,1.18866765e-8,0.0033992608,0.000023583769,0.000089188004,0.000032189215,0.000003699206,0.0010631385],"genre_scores_gemma":[0.99951273,0.00022804864,0.00008470884,0.00003197158,0.000057054152,0.0000021861583,3.480728e-7,3.190147e-7,0.00008263681],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988773,0.0000052898254,0.00032915195,0.0001166599,0.00055082736,0.00012080874],"domain_scores_gemma":[0.99909157,0.00037994678,0.00033687585,0.000003261379,0.00017309866,0.00001527744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015608607,0.000053415006,0.0001158302,0.00004005403,0.000119925135,0.00001268183,0.000740086,0.000060196267,0.000006012783],"category_scores_gemma":[0.0003607033,0.000016928927,0.00005870316,0.0011351125,0.00040563376,0.000077024866,0.00014223676,0.00008103768,5.0078796e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007751497,0.00001382484,0.027051352,0.00001637261,0.000003638871,2.4560751e-9,0.00012372727,0.00012007935,0.966277,0.0045581968,0.0002076286,0.0016204262],"study_design_scores_gemma":[0.000056317516,0.000056392604,0.66767824,0.00006780981,0.0000033774147,0.000001004499,0.0005248726,0.001405803,0.30777913,0.021623578,0.000753312,0.00005014394],"about_ca_topic_score_codex":0.000030328672,"about_ca_topic_score_gemma":0.000003436651,"teacher_disagreement_score":0.65849787,"about_ca_system_score_codex":0.0000059568756,"about_ca_system_score_gemma":0.000009232898,"threshold_uncertainty_score":0.14945745},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99506783,0.00045180804,0.0001697173,0.0007293823,0.00010641721,0.00075766834,0.0025046228,0.000023438883,0.00018912397],"genre_scores_gemma":[0.99895126,0.0001318187,0.000030859454,0.000026330796,0.00015306477,0.000066684406,0.000615285,0.000001377848,0.000023310167],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989795,0.00006315917,0.00023336713,0.00019245366,0.00028537132,0.00024614533],"domain_scores_gemma":[0.9995871,0.00018837329,0.00006600147,0.000042840322,0.000077329045,0.000038309205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013692394,0.00009847193,0.0001349902,0.00002977172,0.00011336855,0.000015751726,0.0001944628,0.000065002794,0.000019400522],"category_scores_gemma":[0.000014406728,0.000038954673,0.00005383524,0.00024899543,0.000022050075,0.00003968918,0.00003423788,0.000059534217,0.0000066030775],"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":[0.000058948073,0.000043451477,0.0008853463,0.00001668388,0.000017155586,9.777517e-7,0.00031855758,0.018953664,0.96141887,0.00021449741,0.00024298292,0.017828876],"study_design_scores_gemma":[0.000840956,0.00041085453,0.4564135,0.00007736127,0.0001449425,0.000034239223,0.00026308984,0.51128566,0.0043477775,0.022691403,0.0032207721,0.00026941142],"about_ca_topic_score_codex":0.00014168234,"about_ca_topic_score_gemma":0.0012693974,"teacher_disagreement_score":0.95707107,"about_ca_system_score_codex":0.000042415642,"about_ca_system_score_gemma":0.00001593144,"threshold_uncertainty_score":0.15885255},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985854,0.000019703262,0.000035720444,0.0001857464,0.00005767119,0.00015897876,0.00006357187,0.000016664226,0.0008765644],"genre_scores_gemma":[0.9987388,0.000012662292,0.0010343603,0.00003027907,0.000026430818,0.000005319522,8.3495877e-7,9.3396864e-7,0.00015036362],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986231,0.000031034386,0.0002541081,0.00035718517,0.00039089232,0.00034369968],"domain_scores_gemma":[0.9994486,0.00014395859,0.00008611998,0.00011412253,0.00010312927,0.00010404598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007631136,0.0001008711,0.00018244456,0.00004334376,0.00010337142,0.00003594247,0.0005373287,0.0000384129,0.00002743959],"category_scores_gemma":[0.000100511636,0.000044157157,0.000025052183,0.0022271269,0.0002880163,0.000048501974,0.00018021955,0.00006764913,0.000005837618],"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":[0.000022993228,0.000022573317,0.09942329,0.000023622613,0.0000011866276,0.0000034413633,0.00027798134,0.0006774825,0.8956627,0.00015944729,0.000017246506,0.0037079933],"study_design_scores_gemma":[0.000068227644,0.000112055495,0.9678016,0.00007326708,0.0000022718111,0.0000019269864,0.00019885291,0.00037770058,0.030642094,0.0004598655,0.00014925965,0.00011291491],"about_ca_topic_score_codex":0.00025333016,"about_ca_topic_score_gemma":0.00072120054,"teacher_disagreement_score":0.8683783,"about_ca_system_score_codex":0.000023207347,"about_ca_system_score_gemma":0.00003509305,"threshold_uncertainty_score":0.18006766},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890834,0.000020604011,0.000009183369,0.00067471847,0.00016340164,0.0000457645,0.00002647278,0.000003564067,0.0001479435],"genre_scores_gemma":[0.9996211,0.000056384244,0.000026963156,0.00008306166,0.00014358757,7.357194e-7,0.00001546292,6.441334e-7,0.000052078685],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992986,0.000063750806,0.00026986824,0.00009914666,0.00009052344,0.0001781442],"domain_scores_gemma":[0.9995709,0.00019593423,0.00015127572,0.000019359048,0.0000120837785,0.000050422303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025367024,0.000077686695,0.00017944559,0.000052032305,0.000032968306,0.0000053579447,0.0001343741,0.00007607913,0.00033585267],"category_scores_gemma":[0.00004312782,0.000029862249,0.00007533445,0.00017778804,0.00002689225,0.000014203967,0.000015141352,0.00012034098,0.0000074884642],"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":[0.00009439045,0.000057694437,0.1632953,0.0000028435766,0.000008051496,0.000006418399,0.000014348367,0.0001228891,0.8072206,0.00001576784,0.00026682374,0.028894879],"study_design_scores_gemma":[0.00019275611,0.0013176705,0.9708508,0.000032447264,0.0000056140125,0.0000122701695,0.000033776763,0.0005433957,0.024627568,0.00027544366,0.002043403,0.00006481791],"about_ca_topic_score_codex":0.00001903013,"about_ca_topic_score_gemma":0.00007943421,"teacher_disagreement_score":0.80755556,"about_ca_system_score_codex":0.0000143986,"about_ca_system_score_gemma":0.0000055941623,"threshold_uncertainty_score":0.36773512},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99637043,0.00020081569,0.000007914595,0.00026912946,0.000060128405,0.000024498075,0.00009560303,0.00000987889,0.0029615783],"genre_scores_gemma":[0.99953705,0.000093305396,0.00013911059,0.00004387102,0.00003506078,3.066247e-7,0.000017783987,1.0896279e-7,0.00013339087],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992528,0.000007539958,0.00010020614,0.00024296653,0.00024155437,0.00015495872],"domain_scores_gemma":[0.9996731,0.00005345128,0.000046204983,0.00011835012,0.00004691898,0.000061972634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003223469,0.000041310363,0.00009005087,0.000031894273,0.00015329897,0.00005590773,0.00093681266,0.000015784673,0.0006573154],"category_scores_gemma":[0.000071332084,0.000014320734,0.000027407508,0.0021655445,0.00019649726,0.00010457172,0.00021809278,0.000025559219,0.000019123983],"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":[0.0000011189218,0.0000418623,0.03848453,0.0000011492722,0.000019335792,0.0000011909135,0.00008310027,0.00011317347,0.87064546,0.00022200629,0.0007046846,0.08968239],"study_design_scores_gemma":[0.000032826527,0.00007480121,0.8926191,0.0000049570876,0.00009585483,0.0000016014259,0.00007758158,0.08281593,0.0041266866,0.00005728564,0.01995142,0.0001419872],"about_ca_topic_score_codex":0.00012567987,"about_ca_topic_score_gemma":0.00024433137,"teacher_disagreement_score":0.8665188,"about_ca_system_score_codex":0.0000033498663,"about_ca_system_score_gemma":0.0000029649725,"threshold_uncertainty_score":0.7197143},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985191,0.0006994529,0.000029078867,0.00036551972,0.00019930358,0.000049011855,0.000023061191,0.000008413154,0.00010704456],"genre_scores_gemma":[0.99719083,0.0022441514,0.0002463685,0.000016365733,0.00020661352,3.8769753e-7,0.000005162679,0.0000013035108,0.000088831366],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989642,0.000037877762,0.00043808136,0.000110540735,0.00025230722,0.00019701383],"domain_scores_gemma":[0.99922144,0.00021201694,0.00027869712,0.000022474584,0.00017692166,0.00008841991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036130525,0.00010620919,0.00027424868,0.000046372246,0.00009860945,0.00003091527,0.00012627985,0.000095031835,0.0000694498],"category_scores_gemma":[0.000025868823,0.00004385568,0.00008504502,0.00027274273,0.000058757953,0.00003131925,0.00005645014,0.00011142632,8.158114e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044232183,0.00006396362,0.08919414,0.000032326683,0.00004416459,0.0000022587615,0.00011843985,0.00044531588,0.8866947,0.00014245126,0.00033143896,0.022886528],"study_design_scores_gemma":[0.0002435241,0.0018673614,0.9452378,0.00008722188,0.00006026298,0.00006526387,0.0011222918,0.00091069867,0.047193013,0.0022619457,0.0008065121,0.00014409478],"about_ca_topic_score_codex":0.0000309963,"about_ca_topic_score_gemma":0.000088802466,"teacher_disagreement_score":0.8560437,"about_ca_system_score_codex":0.000010451448,"about_ca_system_score_gemma":0.000008719186,"threshold_uncertainty_score":0.17883827},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836576,0.000003593912,5.2831086e-7,0.0011576508,0.0002131557,0.000047779737,0.000023151433,0.000004110475,0.00018426246],"genre_scores_gemma":[0.99973416,0.000029093471,8.558166e-7,0.000040484654,0.00003814003,0.0000051938473,0.0000027155652,2.0263356e-7,0.00014916882],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991941,0.000011942011,0.00009522566,0.00012428375,0.0003566879,0.00021776215],"domain_scores_gemma":[0.99973625,0.0001477649,0.00004573757,0.000028002425,0.000007785298,0.000034447716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033909112,0.000044198798,0.000056199402,0.0000095962205,0.00015805979,0.000029569619,0.00026282665,0.000010531028,0.000029751882],"category_scores_gemma":[0.000071609,0.000014208917,0.000013857982,0.00038637847,0.000028098293,0.00004804039,0.0000650389,0.000047208403,0.0000014579532],"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":[0.0000010832748,0.0000075119256,0.3209921,0.0000018241906,0.0000011301923,0.000001523899,0.00022443866,0.00015377243,0.66761523,0.00003262871,0.00015746953,0.010811228],"study_design_scores_gemma":[0.000014519667,0.000013941446,0.97643274,0.0000113404385,8.103802e-7,1.7445119e-7,0.00032455934,0.0002413377,0.022408372,0.00002443574,0.00049039524,0.000037383692],"about_ca_topic_score_codex":0.05821889,"about_ca_topic_score_gemma":0.23451221,"teacher_disagreement_score":0.6554406,"about_ca_system_score_codex":0.00006709065,"about_ca_system_score_gemma":0.000013858881,"threshold_uncertainty_score":0.9480525},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768943,0.00018499196,0.010569403,0.0033173526,0.00016670633,0.00047575566,0.0001839345,0.000080443686,0.00812709],"genre_scores_gemma":[0.98478764,0.00020447728,0.0116974395,0.00007504061,0.000038011978,0.000040442377,0.0005712858,0.000004786943,0.0025808914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99766797,0.0007077576,0.00036382794,0.0005775702,0.0003843966,0.00029847634],"domain_scores_gemma":[0.9973825,0.00091534364,0.00029652574,0.00037319717,0.00085911126,0.00017330208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001492048,0.00025825677,0.0002973351,0.000052940894,0.0002235366,0.0002584966,0.0007936516,0.0002411122,0.00005122278],"category_scores_gemma":[0.0006184431,0.00014448074,0.00016178667,0.00028005533,0.00007555959,0.00004659301,0.0006308219,0.0002815041,0.000021035032],"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":[0.00011351991,0.001540864,0.016066559,0.0004326704,0.00011718288,0.000015847454,0.004461935,0.028251724,0.7084137,0.040715463,0.0008896902,0.1989808],"study_design_scores_gemma":[0.00058839546,0.000008275502,0.11167365,0.0029219503,0.000076090444,0.0000103587145,0.000032590993,0.3198392,0.5527139,0.008778152,0.0023886913,0.00096876523],"about_ca_topic_score_codex":0.00081474846,"about_ca_topic_score_gemma":0.0014043716,"teacher_disagreement_score":0.29158747,"about_ca_system_score_codex":0.000049794417,"about_ca_system_score_gemma":0.000032787582,"threshold_uncertainty_score":0.5891754},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996287,0.000037762205,0.00005950014,0.00004534775,0.00004084627,0.000079623125,0.00007295368,0.000009400368,0.000025850399],"genre_scores_gemma":[0.9994834,0.0001361317,0.00032277472,0.000011611165,0.0000105628105,0.0000012407583,0.000021766076,4.813155e-7,0.00001200447],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99918467,0.00002033272,0.00013881053,0.00029641102,0.00019212677,0.00016764905],"domain_scores_gemma":[0.99969435,0.000103020124,0.00006662809,0.00004448219,0.0000097036045,0.00008179122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037394598,0.000074043935,0.0001265966,0.000038142465,0.00023823255,0.000048038135,0.000105245505,0.000032484248,0.00007108278],"category_scores_gemma":[0.00002109699,0.000036040772,0.00003041246,0.00050272705,0.00033344698,0.00012987008,0.0001515031,0.00004491157,0.0000017337095],"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":[0.000007447143,0.00001885531,0.025422137,0.000002253026,0.0000138035075,5.906867e-7,0.00028717492,0.0037731605,0.96851087,0.000015302145,9.975805e-7,0.0019473974],"study_design_scores_gemma":[0.00004042247,0.000094175404,0.52774155,0.0000081635535,0.00007924596,0.0000022614397,0.0017171252,0.42013022,0.04988587,0.00012912096,0.00004882893,0.00012300875],"about_ca_topic_score_codex":0.00033137624,"about_ca_topic_score_gemma":0.00011893169,"teacher_disagreement_score":0.918625,"about_ca_system_score_codex":0.000024120825,"about_ca_system_score_gemma":0.0000045452243,"threshold_uncertainty_score":0.18323162},"labels":[],"label_agreement":null},{"id":"W4387653519","doi":"10.3390/agriculture13102005","title":"Analysis of Linkage on Interaction of Main Aspects (Genotype by Environment Interaction, Stability and Genetic Parameters) of 1000 Kernels in Maize (Zea mays L.)","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ammi; Epistasis; Gene–environment interaction; Interaction; Biology; Kernel (algebra); Genotype; Mathematics; Gene interaction; Cultivar; Additive genetic effects; Multiplicative function; Biotechnology; Agronomy; Genetics; Gene; Heritability; Combinatorics","score_opus":0.020405706128853285,"score_gpt":0.20738559305501383,"score_spread":0.18697988692616055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387653519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913704,0.00008727318,0.0000020522464,0.00019887429,0.000042842512,0.00013211132,0.00023277817,0.0000069541666,0.00016006398],"genre_scores_gemma":[0.99931294,0.00039638643,0.00004562617,0.0000126065215,0.00001577558,0.000004516004,0.00017289682,6.2916e-7,0.00003862808],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990808,0.0000719972,0.00031476573,0.00022930781,0.00017674586,0.00012642598],"domain_scores_gemma":[0.99945164,0.00022707491,0.00019697966,0.000055536428,0.00002890188,0.000039874096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015103049,0.000106882275,0.00025906792,0.00004385912,0.000023854904,0.000009618938,0.00009530754,0.00009312083,0.0001583637],"category_scores_gemma":[0.000022025984,0.000043667656,0.00008756549,0.0006372838,0.000030727893,0.000032914617,0.0000440231,0.00009999003,0.000003238319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041333024,0.00012087143,0.072492056,0.000023159857,0.000102255784,0.0000027068177,0.00036511806,0.0012463955,0.9190974,0.000016130902,0.00024680866,0.0062457444],"study_design_scores_gemma":[0.00007721107,0.0002456344,0.9149166,0.00003242216,0.000087901346,0.0000017692796,0.0012374873,0.00034589056,0.0826498,0.00007363208,0.00024135053,0.00009031449],"about_ca_topic_score_codex":0.0007315523,"about_ca_topic_score_gemma":0.000847787,"teacher_disagreement_score":0.8424245,"about_ca_system_score_codex":0.000023436382,"about_ca_system_score_gemma":0.0000019204072,"threshold_uncertainty_score":0.17807154},"labels":[],"label_agreement":null},{"id":"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99816334,0.00020960752,0.00020976628,0.00025511242,0.00038727056,0.00012773524,0.00035911362,0.000018787883,0.00026923564],"genre_scores_gemma":[0.9979712,0.00048399353,0.0012972704,0.000031685107,0.000028353381,0.000010799734,0.0000547288,4.3087812e-7,0.00012158846],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999076,0.000009370502,0.00015846781,0.00023554642,0.00024573877,0.00027484127],"domain_scores_gemma":[0.9996782,0.00014127421,0.00006644775,0.000031453565,0.000027897753,0.000054734035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072005595,0.000079400954,0.00015094782,0.000068286914,0.00021308355,0.00006150687,0.000265514,0.00003607303,0.0000061461546],"category_scores_gemma":[0.000053969565,0.000033647317,0.000024755202,0.00071557873,0.00021796337,0.00011601965,0.00006414205,0.00005177517,3.5328713e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013370433,0.00002314278,0.40062308,0.000025529785,0.0000070955043,0.0000011964192,0.00017092288,0.00008239745,0.568168,0.00027622006,0.020505922,0.010103158],"study_design_scores_gemma":[0.00015009136,0.0004355228,0.9132148,0.00006232701,0.000013308413,0.0000039013075,0.0030642217,0.050401255,0.021943828,0.0015917235,0.008848176,0.00027081664],"about_ca_topic_score_codex":0.00014370828,"about_ca_topic_score_gemma":0.00010171094,"teacher_disagreement_score":0.5462241,"about_ca_system_score_codex":0.000009955949,"about_ca_system_score_gemma":0.000016908196,"threshold_uncertainty_score":0.1638888},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663377,0.00156052,9.735237e-7,0.0013397529,0.00018849249,0.000048747435,0.00004006346,0.000001224141,0.00018648726],"genre_scores_gemma":[0.9995126,0.00029822218,0.000051091905,0.00007448558,0.00004536869,7.208414e-7,9.119238e-7,3.282226e-7,0.00001627406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988538,0.00019395107,0.0003184518,0.00009459264,0.00040012784,0.00013906736],"domain_scores_gemma":[0.99867195,0.00093013496,0.00027172305,0.000014536537,0.000074499345,0.000037156344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029398575,0.00006269463,0.00014618422,0.000023389579,0.00032049752,0.000053799413,0.00039903692,0.000019027391,0.00009939595],"category_scores_gemma":[0.00016546375,0.000022209608,0.000032350697,0.00046147677,0.00012761341,0.000069601,0.00011449241,0.00015581213,1.1557954e-7],"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":[0.000043905173,0.000050369694,0.719725,0.000007724293,0.000008827971,0.0000052953797,0.0009872739,0.0008710037,0.268587,0.00003511331,0.00029059823,0.009387891],"study_design_scores_gemma":[0.000047459544,0.0004432248,0.9945404,0.000013263414,0.0000030757144,0.00004545421,0.0018368433,0.00016376139,0.001426527,0.00013211639,0.0012891381,0.00005874678],"about_ca_topic_score_codex":0.00041800734,"about_ca_topic_score_gemma":0.0006736825,"teacher_disagreement_score":0.27481538,"about_ca_system_score_codex":0.000008589096,"about_ca_system_score_gemma":0.00002219873,"threshold_uncertainty_score":0.24650402},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93401855,0.025252257,0.00037649192,0.002182413,0.032744892,0.0017910412,0.0012429532,0.00017338226,0.0022179931],"genre_scores_gemma":[0.82858676,0.06266769,0.011962885,0.0016499968,0.0034096646,0.00023845056,0.0036824748,0.00010953293,0.08769252],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99698,0.00030691043,0.00071786623,0.00070724136,0.00053948787,0.0007484822],"domain_scores_gemma":[0.9988822,0.0004264839,0.0003594325,0.00013485266,0.00006510715,0.00013196214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093233446,0.00046277602,0.00065509544,0.00008403675,0.00021165049,0.00016644555,0.0006570854,0.001212578,0.00003422192],"category_scores_gemma":[0.00029261824,0.00019935747,0.00009740993,0.0011416813,0.00017578497,0.000018447128,0.00014545488,0.0015772817,0.0000042925903],"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":[0.00010064161,0.00018483445,0.30169922,0.00013466645,0.0003848518,0.0002706113,0.0025747432,0.0014406064,0.00059786846,0.00008965103,0.5868795,0.10564281],"study_design_scores_gemma":[0.0002223515,0.00021177779,0.9738727,0.0008088804,0.000079532074,0.000008925219,0.0015506981,0.0039123073,0.000009763617,0.007359838,0.011266362,0.0006968578],"about_ca_topic_score_codex":0.0005922833,"about_ca_topic_score_gemma":0.008935424,"teacher_disagreement_score":0.6721735,"about_ca_system_score_codex":0.00007343015,"about_ca_system_score_gemma":0.000054645465,"threshold_uncertainty_score":0.9352512},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982387,0.0006511152,0.0000015904147,0.0003414423,0.000013440019,0.00053877226,0.00013224877,0.000004864899,0.000077835335],"genre_scores_gemma":[0.99960816,0.00012039216,0.000027190597,0.0000018720299,0.00003614092,0.00005565296,0.00014540294,9.298147e-7,0.000004246261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822474,0.00046159158,0.0003066937,0.0003181967,0.00047446575,0.0002143133],"domain_scores_gemma":[0.9988115,0.0009172539,0.00007371415,0.00008206717,0.00006002478,0.000055466302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025349965,0.00010435341,0.00030685606,0.00015966913,0.000044610242,0.000037054702,0.0002903936,0.00014027969,0.000009750848],"category_scores_gemma":[0.00014567056,0.000037832404,0.00009938588,0.00142242,0.00015524252,0.0000077874365,0.00060502655,0.0006976975,6.852236e-7],"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":[0.000031527186,0.000021874219,0.849788,0.00064137403,0.000052947395,0.000003108924,0.00018159774,0.00034353725,0.13102208,0.00014963487,0.000003396515,0.017760877],"study_design_scores_gemma":[0.00006460232,0.00016595026,0.9783364,0.000251459,0.000030117453,6.272057e-7,0.00005668956,0.01647034,0.002217671,0.0023083105,0.000033367905,0.00006447602],"about_ca_topic_score_codex":0.0053461418,"about_ca_topic_score_gemma":0.004328272,"teacher_disagreement_score":0.12880442,"about_ca_system_score_codex":0.000020728341,"about_ca_system_score_gemma":0.000012352431,"threshold_uncertainty_score":0.8081803},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47235358,0.003098748,0.0000014419609,0.0009336532,0.00015636238,0.00065338233,0.0000911894,0.00006130933,0.52265036],"genre_scores_gemma":[0.66204315,0.0013115198,0.000011927978,0.000075892065,0.00027944345,0.000012362563,0.00011028542,0.0000013323098,0.3361541],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951357,0.0000013594886,0.0001114708,0.00022683447,0.00006225523,0.000084542895],"domain_scores_gemma":[0.9999033,0.000014233821,0.000029442725,0.000011392992,0.000013523329,0.00002807753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064281005,0.0000977633,0.00008400472,0.000010960624,0.000030829437,0.000032720283,0.00004539402,0.000118462296,0.00023479295],"category_scores_gemma":[5.848704e-7,0.00003716512,0.000023250743,0.000019704139,0.0000035394003,0.000009218503,0.000040555242,0.00009910557,0.00009221771],"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":[0.0000063943708,0.0000066789644,0.00019864996,0.000035499466,0.000015104844,0.0000016755483,0.000022938651,0.0000040468735,0.7723399,0.05200461,0.00051477697,0.17484976],"study_design_scores_gemma":[0.00010122039,0.0004567898,0.009324813,0.00010560533,0.000041573192,0.000019925865,0.00004740302,0.0032334449,0.0017190861,0.02732861,0.95700973,0.0006118174],"about_ca_topic_score_codex":0.00022732902,"about_ca_topic_score_gemma":0.0029224127,"teacher_disagreement_score":0.9564949,"about_ca_system_score_codex":0.000020897596,"about_ca_system_score_gemma":0.0000021103967,"threshold_uncertainty_score":0.2570818},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812317,0.000086841246,0.000002061428,0.0014872928,0.00016614176,0.000036351186,0.0000419033,0.0000040533546,0.00005216045],"genre_scores_gemma":[0.9994328,0.00031850522,0.00004692355,0.000053578795,0.00007623037,9.44291e-7,0.000009273563,4.2022177e-7,0.000061319624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867445,0.00020634737,0.00034918814,0.00015415158,0.00036158683,0.0002542693],"domain_scores_gemma":[0.9990077,0.0006869399,0.00014472638,0.000018600103,0.00008152837,0.000060512553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002240377,0.000083648665,0.00023671181,0.00015340021,0.00010447139,0.00016013358,0.00019006949,0.00006726944,0.000051237894],"category_scores_gemma":[0.00017136686,0.000036813555,0.000049059072,0.0019922308,0.00007954399,0.00022211383,0.000041600975,0.00012289647,0.0000014638554],"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":[0.000010022988,0.000019007884,0.9928749,0.0000024860794,0.00001098734,0.000017616076,0.00009600638,0.00021313188,0.0047204504,8.179735e-7,0.00007802897,0.0019565145],"study_design_scores_gemma":[0.000075201875,0.00014672264,0.99866706,0.00002841586,0.000013923576,0.000013322116,0.0003567421,0.0003533456,0.000114762945,0.00008657514,0.000061633924,0.0000822922],"about_ca_topic_score_codex":0.0021971401,"about_ca_topic_score_gemma":0.027375666,"teacher_disagreement_score":0.025178527,"about_ca_system_score_codex":0.000037371265,"about_ca_system_score_gemma":0.000016826256,"threshold_uncertainty_score":0.9903722},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989162,0.0005230608,0.0000123973405,0.00016145215,0.00011497787,0.00012396245,0.000016022588,0.000010630579,0.000121289624],"genre_scores_gemma":[0.99945563,0.00014689067,0.00034127283,0.00001071149,0.000026276486,0.0000044663,0.0000016761894,3.3134012e-7,0.000012737817],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990879,0.0000444365,0.00023676007,0.0002613853,0.00017586796,0.00019360003],"domain_scores_gemma":[0.9995629,0.00027379693,0.000044135155,0.00003924765,0.000014294745,0.00006558842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001967805,0.000067307556,0.0001537185,0.000022137612,0.00013016467,0.00007584631,0.0001647324,0.00002248446,0.00012513742],"category_scores_gemma":[0.00016559254,0.000025112206,0.000023295006,0.0002940199,0.00034562792,0.00010572581,0.00010327651,0.000072061826,0.000003998755],"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":[0.000012314109,0.000024072588,0.14027321,0.000019083012,0.0000013345114,0.0000028501386,0.00023362155,0.00003163398,0.77001923,0.00007408017,0.000003888633,0.089304686],"study_design_scores_gemma":[0.00010735055,0.00018371783,0.9500534,0.00013115862,0.0000064730343,0.0000080014925,0.0003488394,0.030878996,0.017684985,0.00009163861,0.0003982508,0.00010718351],"about_ca_topic_score_codex":0.00004879233,"about_ca_topic_score_gemma":0.000033447486,"teacher_disagreement_score":0.8097802,"about_ca_system_score_codex":0.000021993528,"about_ca_system_score_gemma":0.000018611088,"threshold_uncertainty_score":0.1370167},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99791664,0.00007511228,0.0011400848,0.00014566338,0.0003274705,0.00025123984,0.000042704705,0.000021872533,0.000079214806],"genre_scores_gemma":[0.9953606,0.000011608451,0.0044316114,0.00003816389,0.00007634714,0.000007675116,0.0000062119934,2.8265262e-7,0.00006751541],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952364,0.000005217482,0.00011004861,0.00012999699,0.00010310522,0.00012798901],"domain_scores_gemma":[0.99974895,0.00004859494,0.00002477433,0.00001503233,0.0001084292,0.00005422955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003282458,0.000049781524,0.000055396336,0.000033366534,0.00014459058,0.00016860386,0.00011198984,0.000022119224,0.000013481103],"category_scores_gemma":[0.00009955253,0.000019697067,0.000017940767,0.00049026316,0.000061553576,0.00020235812,0.000032299213,0.000032184325,0.000010303479],"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":[0.00012421195,0.000009434827,0.00040121668,0.000012312222,0.0000018461421,7.5737425e-8,0.00025113198,0.00009092535,0.84784275,0.0007463941,0.00006490923,0.15045477],"study_design_scores_gemma":[0.004303476,0.0033629022,0.22919881,0.0002574912,0.00005019524,0.000024678822,0.00083989894,0.40595937,0.2759062,0.0007731976,0.07854709,0.0007766844],"about_ca_topic_score_codex":0.00021952121,"about_ca_topic_score_gemma":0.0003037437,"teacher_disagreement_score":0.57193655,"about_ca_system_score_codex":0.000008290437,"about_ca_system_score_gemma":0.000020448013,"threshold_uncertainty_score":0.1625851},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764913,0.0001546568,0.00017587097,0.0014892262,0.00004240923,0.00012762402,0.000075797565,0.000004712393,0.00028056835],"genre_scores_gemma":[0.99823916,0.000028726154,0.001577572,0.00009162794,0.000019507996,0.0000115047915,0.000008477003,3.7680564e-7,0.000023039669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994977,0.000035609864,0.000112071946,0.00015366595,0.00007510838,0.00012581662],"domain_scores_gemma":[0.9996274,0.00028704156,0.000016099639,0.000028069382,0.0000036617703,0.000037738704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019443953,0.000058319023,0.00006687383,0.0000057214183,0.00005482049,0.000036640395,0.00008573377,0.000011994243,0.00009307022],"category_scores_gemma":[0.000004846351,0.000022545271,0.000016620117,0.000053470638,0.000012132863,0.000024745454,0.000050069655,0.00006437392,0.0000012592253],"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":[0.000013393156,0.000040837196,0.7531941,0.000044343935,0.000030419089,0.00001837668,0.0012718108,0.0016578477,0.10552114,0.000090217734,0.0041199173,0.13399757],"study_design_scores_gemma":[0.000027308832,0.000043289845,0.9515261,0.000043684737,0.000014785732,0.000012682741,0.0007321575,0.0015179067,0.001266064,0.0000651475,0.044659533,0.00009132452],"about_ca_topic_score_codex":0.22701278,"about_ca_topic_score_gemma":0.22943728,"teacher_disagreement_score":0.198332,"about_ca_system_score_codex":0.000026091806,"about_ca_system_score_gemma":0.000008633224,"threshold_uncertainty_score":0.7846235},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.118376575,0.00039573392,0.0000014991423,0.00042448036,0.000047301295,0.00039882865,0.88029474,0.000016397347,0.00004441845],"genre_scores_gemma":[0.020474963,0.0011799423,0.0000697334,0.00027247323,0.000088644665,2.5259e-7,0.97786915,0.000026089325,0.000018744857],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888486,0.00015101043,0.00015090678,0.00035519063,0.00021298052,0.00024502637],"domain_scores_gemma":[0.9995318,0.00015740945,0.000058723563,0.00009653419,0.000070068694,0.000085440704],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074253295,0.000113950875,0.00011850504,0.000018514227,0.0013806997,0.00025246295,0.00036245983,0.000052102045,0.0051055634],"category_scores_gemma":[0.00021576493,0.000056644472,0.00001214939,0.00009807324,0.00006878776,0.000034176872,0.0010924926,0.00021154467,0.000004322977],"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":[0.000038915023,0.0000562334,0.0001294177,0.00008358363,0.000007254048,0.0000047235603,0.000089199355,0.000003059567,0.00065815554,0.0000103856355,0.9950307,0.0038883768],"study_design_scores_gemma":[0.00016791486,0.00013933034,0.008938406,0.000014464917,0.000013392885,0.000035541507,0.00046204877,0.0002531037,0.000005780496,0.000009021499,0.98984903,0.00011194717],"about_ca_topic_score_codex":0.01851016,"about_ca_topic_score_gemma":0.0556397,"teacher_disagreement_score":0.09790161,"about_ca_system_score_codex":0.000022804457,"about_ca_system_score_gemma":0.0000035511293,"threshold_uncertainty_score":0.99991935},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019030308,0.00011018522,8.554816e-9,0.00004489981,0.00001273818,0.00028880654,0.9805093,0.0000031525851,6.184809e-7],"genre_scores_gemma":[0.0069410256,0.000008464817,0.000083159975,0.000043212873,0.000048533926,0.00016376615,0.9927058,0.0000013100075,0.0000047190492],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898505,0.00005496167,0.0004504823,0.00020158927,0.00019188056,0.00011606159],"domain_scores_gemma":[0.9958971,0.0028923147,0.0010231837,0.000031677126,0.00012371794,0.000032010514],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007702485,0.00012524016,0.0002968063,0.000041105108,0.000073408664,0.000010825694,0.00014107888,0.0001679863,0.6449261],"category_scores_gemma":[0.0029675928,0.00007035383,0.000057891782,0.00015823607,0.000006773294,0.000050437775,0.00006849855,0.00011613684,3.5630245e-7],"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":[0.0000099183335,0.000004875454,0.00019370175,0.0002416042,0.000021481104,1.8754127e-7,0.000026386053,0.000079158235,0.0038162274,8.1530615e-8,0.99549484,0.00011153754],"study_design_scores_gemma":[0.00016762811,0.00022051581,0.32401168,0.0019341658,0.000041156014,7.910399e-7,0.00016187716,0.0001968503,0.0002750899,0.0001893214,0.6725251,0.00027578644],"about_ca_topic_score_codex":0.00011954513,"about_ca_topic_score_gemma":0.0012338215,"teacher_disagreement_score":0.6449257,"about_ca_system_score_codex":0.00009661365,"about_ca_system_score_gemma":0.000056458113,"threshold_uncertainty_score":0.35539848},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01892401,0.000111674366,8.3991845e-9,0.000044703866,0.000012801134,0.0002883749,0.98061466,0.0000031519758,6.303868e-7],"genre_scores_gemma":[0.006846148,0.000008653329,0.00008161016,0.00004321423,0.000049140788,0.00016110307,0.9928041,0.0000013084374,0.000004732153],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898505,0.000054945896,0.00045065305,0.00020146137,0.0001918399,0.000116025374],"domain_scores_gemma":[0.9959306,0.002857843,0.0010244156,0.000031626314,0.00012348771,0.00003200722],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007666888,0.00012520647,0.0002968678,0.000041082334,0.00007341322,0.000010845572,0.00014101244,0.00016798712,0.6412314],"category_scores_gemma":[0.0029373434,0.00007033437,0.00005788231,0.00015813198,0.000006773215,0.00005046702,0.00006849039,0.00011611422,3.5308307e-7],"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":[0.00000987126,0.000004873438,0.00018846618,0.00024342195,0.000021478318,1.9184908e-7,0.000026401258,0.00007946909,0.003704016,8.273166e-8,0.99560755,0.00011415403],"study_design_scores_gemma":[0.00016669903,0.0002180617,0.31650987,0.0018923974,0.000040567484,7.835936e-7,0.00015866947,0.00019353052,0.00027055762,0.00018844809,0.6800882,0.00027219416],"about_ca_topic_score_codex":0.00012056365,"about_ca_topic_score_gemma":0.0012399903,"teacher_disagreement_score":0.64123106,"about_ca_system_score_codex":0.000096637064,"about_ca_system_score_gemma":0.000056245437,"threshold_uncertainty_score":0.35909653},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01914659,0.000110669316,8.595983e-9,0.000044717875,0.0000128416705,0.00028879268,0.98039263,0.000003149046,6.2158483e-7],"genre_scores_gemma":[0.007002985,0.000008564764,0.00008229254,0.000043166678,0.000048990943,0.00016109076,0.9926468,0.0000013093966,0.000004795898],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898493,0.000054916476,0.0004506534,0.00020151418,0.00019191389,0.00011605394],"domain_scores_gemma":[0.9959178,0.0028705532,0.0010233384,0.000031637082,0.00012465104,0.00003200872],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007699506,0.00012522511,0.0002968322,0.000041093394,0.00007340327,0.000010844678,0.00014100313,0.00016797411,0.6400397],"category_scores_gemma":[0.0029669143,0.00007033852,0.00005788863,0.00015818595,0.000006773705,0.00005047091,0.00006845628,0.00011611658,3.5962634e-7],"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":[0.000009967803,0.0000048728016,0.0001938999,0.00024508534,0.000021462954,1.8944483e-7,0.000026383606,0.00007916889,0.0038238352,8.1083996e-8,0.99548215,0.00011292253],"study_design_scores_gemma":[0.0001684865,0.00021879522,0.3204398,0.0019178921,0.000040569725,7.795392e-7,0.00016015454,0.00019581421,0.00027832572,0.00018853816,0.6761169,0.00027398756],"about_ca_topic_score_codex":0.00012070257,"about_ca_topic_score_gemma":0.0012409674,"teacher_disagreement_score":0.6400393,"about_ca_system_score_codex":0.00009694079,"about_ca_system_score_gemma":0.000056484765,"threshold_uncertainty_score":0.3602894},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689,0.001571926,0.00027204922,0.0008349019,0.0001036977,0.0001460614,0.00010440829,0.000013744292,0.00006319079],"genre_scores_gemma":[0.9995109,0.000094592135,0.00017868537,0.000040700383,0.00007739247,0.000008230289,0.0000111213885,4.459939e-7,0.00007794084],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99920887,0.000012040687,0.0001596021,0.0003019708,0.000142732,0.00017479656],"domain_scores_gemma":[0.9997646,0.00009179636,0.000031105057,0.000029886987,0.00004552173,0.00003708479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035552794,0.00007433051,0.00012297556,0.000057490728,0.0001541733,0.00015110409,0.00018111923,0.000046178684,0.000020143434],"category_scores_gemma":[0.000034020886,0.000028890594,0.00005604027,0.0014544856,0.00017624322,0.00008946858,0.000029039567,0.000059506077,0.000001051186],"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":[0.000007863285,0.000011744676,0.0036272376,0.000022619584,0.0000102716795,6.4140954e-7,0.0009202081,0.00016488277,0.956666,0.0005504292,0.00002037917,0.037997756],"study_design_scores_gemma":[0.00008014851,0.00021539343,0.93271697,0.000047003185,0.00009586,0.00000595914,0.0005669481,0.0032236958,0.048514806,0.002147807,0.012180834,0.00020456123],"about_ca_topic_score_codex":0.00006188386,"about_ca_topic_score_gemma":0.000816557,"teacher_disagreement_score":0.9290897,"about_ca_system_score_codex":0.0000057437383,"about_ca_system_score_gemma":0.000015021899,"threshold_uncertainty_score":0.14571002},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978707,0.01966031,0.000010224734,0.0007338788,0.00016125689,0.00012388594,0.00036663757,0.000009031395,0.00022778627],"genre_scores_gemma":[0.9922008,0.0067379135,0.0006524652,0.000065249165,0.00023874157,0.0000063625853,0.000044362452,0.0000016397048,0.00005245376],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990188,0.00007078819,0.00032815587,0.00025328403,0.00014484307,0.0001841325],"domain_scores_gemma":[0.9993046,0.0005052808,0.00004693179,0.000047784797,0.000029425311,0.000065972476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017208634,0.000118414944,0.00015084725,0.000015240327,0.00014282517,0.0001222512,0.00017895676,0.00009114421,0.000043017728],"category_scores_gemma":[0.000012982989,0.00004892197,0.000059396087,0.00015957165,0.00007336475,0.000013266805,0.000073882125,0.00011714771,0.000005295396],"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":[0.000049560447,0.000064159925,0.0134161925,0.000038292845,0.000050943563,0.000012095216,0.0005360987,0.00018689802,0.71564186,0.0025905976,0.00033354672,0.2670798],"study_design_scores_gemma":[0.00015765433,0.00009346891,0.9211055,0.0000355925,0.000018026782,0.00000564723,0.0002940072,0.002230302,0.004989664,0.025374971,0.04550498,0.00019019638],"about_ca_topic_score_codex":0.00023977566,"about_ca_topic_score_gemma":0.0018926614,"teacher_disagreement_score":0.9076893,"about_ca_system_score_codex":0.0000140173015,"about_ca_system_score_gemma":0.000013416593,"threshold_uncertainty_score":0.199498},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98249227,0.010048165,0.000003906087,0.0065936428,0.0005416328,0.000069199035,0.00009719648,0.0000036993579,0.00015031194],"genre_scores_gemma":[0.9974194,0.0013283729,0.0001682804,0.00021548664,0.00073297217,0.0000037639597,0.000011165238,7.860055e-7,0.00011973748],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989029,0.000022949633,0.0003826186,0.00009798654,0.0004756902,0.000117829106],"domain_scores_gemma":[0.99865514,0.00074795744,0.0001582212,0.000015503585,0.00038272093,0.000040481693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002563952,0.00007383971,0.000120958204,0.000024168901,0.000049878476,0.000121149395,0.0002761782,0.000050950177,0.000037008816],"category_scores_gemma":[0.00038404108,0.000026527847,0.00009248267,0.00012593325,0.000011235784,0.00007267735,0.000052224343,0.00014127744,0.000006562908],"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":[0.000055360146,0.00006880554,0.07416074,0.0000048559214,0.0004116079,0.00002961557,0.00063087005,0.001181566,0.90853804,0.00026311146,0.002090047,0.012565349],"study_design_scores_gemma":[0.00020612504,0.00039553494,0.8095523,0.00044514198,0.00006802044,0.000026036923,0.0022839718,0.00033008715,0.032124307,0.014964002,0.13941944,0.00018502992],"about_ca_topic_score_codex":0.00011347306,"about_ca_topic_score_gemma":0.0004036209,"teacher_disagreement_score":0.87641376,"about_ca_system_score_codex":0.00011500101,"about_ca_system_score_gemma":0.000015215324,"threshold_uncertainty_score":0.11682464},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986325,0.00039118444,4.4898871e-7,0.00012349678,0.0004698831,0.00018689211,0.00001626712,0.000025075959,0.00015426821],"genre_scores_gemma":[0.99939007,0.000004487938,0.00006386612,0.000001505532,0.00003650125,0.0000072971975,0.000009910276,8.0980993e-7,0.00048557925],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99876976,0.00003293156,0.00036039113,0.00042771714,0.0002187508,0.00019046933],"domain_scores_gemma":[0.9996476,0.00007035456,0.0001015493,0.00007498012,0.000044624634,0.00006088162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017289364,0.00008855116,0.00014441232,0.00002395511,0.00012601426,0.0003028568,0.00006491132,0.000053615015,0.000016071588],"category_scores_gemma":[0.000065513384,0.000038756203,0.000024247192,0.00028171678,0.00017122495,0.00009027051,0.0001046756,0.000094004215,0.000002076583],"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":[0.00000812351,0.000016395781,0.42553133,0.00012002297,0.0000023499165,0.00001739378,0.0012606999,0.0000031447519,0.56398356,0.0000040983255,0.00001266413,0.009040214],"study_design_scores_gemma":[0.00005739539,0.00008149626,0.9819931,0.00037389144,0.000004767962,0.00004798256,0.00059285294,0.0009637699,0.01257264,0.0017753711,0.0013629529,0.00017382167],"about_ca_topic_score_codex":0.0003086719,"about_ca_topic_score_gemma":0.00018328315,"teacher_disagreement_score":0.55646175,"about_ca_system_score_codex":0.000006077871,"about_ca_system_score_gemma":0.000012691601,"threshold_uncertainty_score":0.2920455},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99061936,0.008786549,0.00012187713,0.00012373051,0.00004372617,0.00006561734,0.00019600676,0.00000954583,0.000033570217],"genre_scores_gemma":[0.9978754,0.0019177592,0.00012052895,0.000011400846,0.000026153064,0.0000011145208,0.000035712088,8.0269376e-7,0.000011144421],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993121,0.000039309034,0.00020154793,0.00022001323,0.000120465396,0.000106572814],"domain_scores_gemma":[0.99964267,0.00019798265,0.00005367245,0.000037738388,0.000021595208,0.00004635529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017252445,0.00008855482,0.0002033395,0.000044635242,0.000050677005,0.00002787242,0.000042045263,0.000054995675,0.00013286537],"category_scores_gemma":[0.000020430894,0.00004032732,0.00006207348,0.0002948732,0.000057368612,0.00005418416,0.00004429171,0.000057511825,7.039888e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001555934,0.000027536737,0.033424135,0.00008942718,0.00011059026,8.175767e-7,0.00010059158,0.00005235927,0.9585029,0.000011426489,0.000008931977,0.0076557435],"study_design_scores_gemma":[0.00009972413,0.0005623466,0.6904964,0.0003783715,0.0016057478,0.000012124855,0.001105639,0.012149299,0.29140028,0.000117850956,0.001722004,0.00035024367],"about_ca_topic_score_codex":0.0009861239,"about_ca_topic_score_gemma":0.0005120897,"teacher_disagreement_score":0.6671026,"about_ca_system_score_codex":0.000013199348,"about_ca_system_score_gemma":0.000002599991,"threshold_uncertainty_score":0.16445003},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934737,0.004667294,0.00021041295,0.00094200217,0.00044412792,0.0002249827,0.000013566403,0.000013904566,0.000010023241],"genre_scores_gemma":[0.99626565,0.0012460543,0.0019501344,0.000011941668,0.0005032232,0.000005260223,0.000004980765,8.539502e-7,0.000011908025],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99837893,0.000027599226,0.0005659676,0.00023366352,0.00045702135,0.00033680873],"domain_scores_gemma":[0.99916905,0.00011730861,0.00023429343,0.000024658359,0.0003264541,0.00012821343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003597597,0.00014209603,0.0002980971,0.00005998046,0.00012520324,0.00023020444,0.0003987719,0.0000704658,0.000013866397],"category_scores_gemma":[0.00010763503,0.00004736975,0.00019136406,0.0010455381,0.00011712236,0.00043775167,0.000043965916,0.00016564642,0.000001634973],"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":[0.00004415494,0.000055422468,0.0020167814,0.000063203544,0.000008044965,0.000012738292,0.00014841245,0.0005917931,0.90752614,0.00012522723,0.000042443633,0.08936563],"study_design_scores_gemma":[0.00036733804,0.0013994203,0.96804273,0.0010130875,0.000059276957,0.00047057678,0.0014713561,0.00816152,0.01732405,0.00020357808,0.0011798937,0.0003071498],"about_ca_topic_score_codex":0.000025613315,"about_ca_topic_score_gemma":0.00025826276,"teacher_disagreement_score":0.96602595,"about_ca_system_score_codex":0.00004818321,"about_ca_system_score_gemma":0.00004055871,"threshold_uncertainty_score":0.22198668},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828699,0.015411535,0.0000076978995,0.00054830767,0.00015524804,0.00018991072,0.0002867902,0.000028537394,0.00050202187],"genre_scores_gemma":[0.9915096,0.0071700793,0.00063584186,0.0000858449,0.00030779763,0.0000037978207,0.000059901722,0.0000024932488,0.0002246509],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989865,0.000026347076,0.00020322463,0.0003913384,0.00008814217,0.00030446379],"domain_scores_gemma":[0.999552,0.00012860718,0.0000420092,0.00004332392,0.00003351252,0.0002005447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014589219,0.0002336177,0.00023682759,0.000018430152,0.00021825587,0.0004986117,0.00009966153,0.00010885554,0.00003836047],"category_scores_gemma":[0.0000037300008,0.000096812655,0.00005477506,0.00011056225,0.00010484007,0.00003988864,0.00016941191,0.00014008782,0.00000853962],"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":[0.000038604852,0.000024763349,0.008632223,0.00004768923,0.00012793035,0.000015625166,0.0016214242,0.000088425164,0.9092971,0.00052531797,0.0015703107,0.078010574],"study_design_scores_gemma":[0.00035984468,0.00083985203,0.8588503,0.00006565639,0.00014278837,0.0005049687,0.0019915837,0.011770272,0.005900571,0.0033697204,0.11529231,0.0009121035],"about_ca_topic_score_codex":0.00009502174,"about_ca_topic_score_gemma":0.00022176473,"teacher_disagreement_score":0.90339655,"about_ca_system_score_codex":0.000026038844,"about_ca_system_score_gemma":0.000011518111,"threshold_uncertainty_score":0.4808124},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987952,0.00042149797,0.0001652464,0.0001733547,0.000059479917,0.00031257048,0.0000501688,0.0000049670907,0.00001751388],"genre_scores_gemma":[0.9998449,0.00005559247,0.000018217175,0.0000063944944,0.000024251482,0.000025061036,0.000011744351,4.2470802e-7,0.000013416183],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998934,0.0000844559,0.00025353226,0.00027369644,0.00031154818,0.00014276888],"domain_scores_gemma":[0.99962854,0.00019916106,0.00005943789,0.000058151058,0.0000034676532,0.000051254345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008937728,0.000082868915,0.00018620728,0.000046160007,0.000057743287,0.000033942466,0.00021471937,0.000033711836,0.000014422601],"category_scores_gemma":[0.0000061310297,0.000028365072,0.000069465685,0.0006290348,0.00009291241,0.000029273504,0.00007736527,0.000049018527,0.00000341532],"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":[0.00000815634,0.000014306119,0.3632369,0.00003184279,0.000023460487,9.858096e-7,0.00012169054,0.00027101615,0.62187374,0.000062434774,0.0000021923322,0.01435326],"study_design_scores_gemma":[0.000032927925,0.00023518177,0.98741484,0.000022182925,0.000054055403,0.000002595666,0.00005530404,0.006225046,0.004538593,0.000030210995,0.0013267935,0.000062289604],"about_ca_topic_score_codex":0.0023851597,"about_ca_topic_score_gemma":0.0005145008,"teacher_disagreement_score":0.62417793,"about_ca_system_score_codex":0.000011388185,"about_ca_system_score_gemma":0.0000013458547,"threshold_uncertainty_score":0.3605664},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982146,0.001676767,0.00004170008,0.014053127,0.0007629653,0.000083596744,0.00028158788,0.000020022679,0.0009342368],"genre_scores_gemma":[0.99429744,0.00011107653,0.0024847528,0.001927542,0.00032680965,0.0000015283916,0.000010830522,0.0000016784301,0.00083833263],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989143,0.00011590792,0.0003304574,0.0002418276,0.00017595125,0.00022154988],"domain_scores_gemma":[0.99925554,0.00028784407,0.000108254084,0.000041840478,0.00015216779,0.00015435682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000355111,0.00013651347,0.00027850544,0.00003321807,0.000080858685,0.000084695304,0.00019215088,0.0001214176,0.0001579205],"category_scores_gemma":[0.000111418834,0.000055324424,0.00012151699,0.00041835022,0.000026028012,0.000102299266,0.00004805048,0.0002941601,0.00010145876],"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":[0.000106918495,0.000026221169,0.001294819,0.0000064520937,0.000023761802,0.00055033324,0.0020648593,0.000018449584,0.95867884,0.00045400433,0.033625532,0.0031498147],"study_design_scores_gemma":[0.00033584939,0.0032256457,0.3276338,0.00088025146,0.00012268043,0.0010555149,0.0025315324,0.000080823695,0.10572963,0.02785722,0.52977073,0.00077630393],"about_ca_topic_score_codex":0.00002679937,"about_ca_topic_score_gemma":0.00032405305,"teacher_disagreement_score":0.8529492,"about_ca_system_score_codex":0.000021079637,"about_ca_system_score_gemma":0.00001314546,"threshold_uncertainty_score":0.22560646},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965081,0.0025721341,0.000027425127,0.00016695932,0.00023029947,0.00026738914,0.000044237226,0.000028268616,0.00015514548],"genre_scores_gemma":[0.9985335,0.00041102243,0.0006416064,0.000032900116,0.00025742475,0.000013575317,0.00001951233,0.0000022712484,0.00008820345],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99901783,0.000021646872,0.00024746402,0.0003251911,0.00012835313,0.00025952808],"domain_scores_gemma":[0.99972045,0.00010835264,0.00002593244,0.00003727422,0.000021386408,0.000086574575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019626987,0.0001581443,0.00018456478,0.000037562193,0.00007890279,0.0002109241,0.0001296418,0.000062324405,0.00007530435],"category_scores_gemma":[0.0000039856664,0.000084299914,0.00004297534,0.00020604217,0.000022141803,0.000021986358,0.000104293555,0.00013497502,0.000015084513],"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":[0.00014878274,0.0005314732,0.4020202,0.00019086445,0.00030715804,0.00033909417,0.006361131,0.015398105,0.47160903,0.0018816249,0.0014827255,0.099729836],"study_design_scores_gemma":[0.0004568003,0.0008143938,0.8908431,0.00006053393,0.00003958722,0.000059953767,0.0010345996,0.08131754,0.00053000794,0.00061264896,0.023796987,0.00043385968],"about_ca_topic_score_codex":0.00006530628,"about_ca_topic_score_gemma":0.0002763153,"teacher_disagreement_score":0.4888229,"about_ca_system_score_codex":0.000026423513,"about_ca_system_score_gemma":0.000010446304,"threshold_uncertainty_score":0.34376508},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919317,0.00096097006,0.0004986244,0.0034140255,0.0004218993,0.000087270004,0.0004378534,0.000038825314,0.0022088762],"genre_scores_gemma":[0.99895716,0.00006293638,0.00019261947,0.00002007613,0.00020383173,4.3249904e-7,0.00022858886,3.2719038e-7,0.000334014],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994997,0.000013870163,0.000103331215,0.00017328879,0.00012833635,0.000081477076],"domain_scores_gemma":[0.9997536,0.000093153096,0.000043285665,0.000052359734,0.000026895059,0.00003072062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009200722,0.000055012344,0.00009448307,0.000009531772,0.000059515223,0.00001826217,0.00020448134,0.000045357556,0.00021126601],"category_scores_gemma":[0.000025509637,0.000022950542,0.000031811967,0.0001745914,0.0000424253,0.0001303008,0.00015059527,0.000048811937,0.000008374769],"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":[0.00010154599,0.00009558552,0.013301093,0.000081134844,0.000064322005,0.000008155325,0.00033755528,0.00022668597,0.6154659,0.009078837,0.045025498,0.3162137],"study_design_scores_gemma":[0.00051754405,0.0012614247,0.7384843,0.00029520987,0.0002055269,0.000026788022,0.001210526,0.0063041705,0.035649408,0.023520755,0.19190301,0.00062133436],"about_ca_topic_score_codex":0.00047871866,"about_ca_topic_score_gemma":0.0007387231,"teacher_disagreement_score":0.7251832,"about_ca_system_score_codex":0.0000038821377,"about_ca_system_score_gemma":0.000012379061,"threshold_uncertainty_score":0.23132147},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981821,0.00060279126,0.000012124578,0.00014810785,0.00012550555,0.00051804195,0.0003705366,0.000016033639,0.000024761157],"genre_scores_gemma":[0.99898803,0.00009823371,0.000032366795,0.000003930981,0.00032970967,0.0000103399,0.0005313064,0.0000021357419,0.0000039197744],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985121,0.00023087277,0.00032825163,0.0003266397,0.00028589377,0.0003162265],"domain_scores_gemma":[0.99943966,0.0002610058,0.00007696795,0.000043343607,0.00011371439,0.000065293134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006840123,0.00012070099,0.00018671539,0.00008372437,0.00020006084,0.0001670149,0.00011741284,0.00017885171,0.000095595526],"category_scores_gemma":[0.000014744722,0.00006463534,0.000052177882,0.00036043907,0.00004315747,0.000026823402,0.00046126734,0.00065918214,0.0000011108323],"study_design_candidate":"simulation_or_modeling","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":[0.000089353816,0.000094412586,0.09477429,0.00027530332,0.000032171658,0.000012641674,0.00062199536,0.1957607,0.5584486,0.00039308213,0.00008646801,0.149411],"study_design_scores_gemma":[0.0000680619,0.00024199973,0.123106435,0.00013429571,0.000014443293,0.000003668037,0.000681362,0.8685824,0.0011758207,0.0057986053,0.000043759883,0.00014912905],"about_ca_topic_score_codex":0.0056286636,"about_ca_topic_score_gemma":0.02157167,"teacher_disagreement_score":0.6728217,"about_ca_system_score_codex":0.00009044953,"about_ca_system_score_gemma":0.000029127452,"threshold_uncertainty_score":0.9962821},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941165,0.00017330474,0.00005382914,0.0041043316,0.000814795,0.00010790097,0.000021491576,0.00003907433,0.0005688012],"genre_scores_gemma":[0.99777323,0.000008280249,0.0017264242,0.000033329325,0.00023468026,0.0000027810388,0.0000024773651,4.1289672e-7,0.00021839741],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99887806,0.000023246586,0.0001584277,0.00031669147,0.00034242132,0.00028116576],"domain_scores_gemma":[0.99934083,0.0004140101,0.000054296142,0.00006494785,0.00006122415,0.00006467739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093508395,0.00008193504,0.0000788297,0.000021346343,0.00055613305,0.00079877186,0.0004450083,0.000026661402,0.00002938567],"category_scores_gemma":[0.00025293903,0.00002481544,0.00004052627,0.00059806113,0.00034397293,0.0005114318,0.00015456942,0.00008877645,0.000009408689],"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":[0.000004092737,0.000009666482,0.008787318,0.000010849257,0.000005599879,0.0000030726608,0.0005446184,0.000035964746,0.75654525,0.0017341228,0.0017738572,0.23054561],"study_design_scores_gemma":[0.00014665276,0.0010429041,0.4967548,0.0010297638,0.000072039824,0.00022026018,0.0017908862,0.08437707,0.12039476,0.017371181,0.27568024,0.0011194536],"about_ca_topic_score_codex":0.00024208226,"about_ca_topic_score_gemma":0.00035434982,"teacher_disagreement_score":0.6361505,"about_ca_system_score_codex":0.000011515717,"about_ca_system_score_gemma":0.000022992539,"threshold_uncertainty_score":0.77025753},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959379,0.0012062177,0.0004992537,0.0013474057,0.00040380712,0.00021121494,0.00007277147,0.00003899223,0.00028243498],"genre_scores_gemma":[0.99947244,0.00008466766,0.000093221024,0.0001008696,0.00012867122,0.000012922698,0.000037595324,0.0000012071393,0.00006840691],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990769,0.000020160962,0.00020341326,0.00019498385,0.0002404387,0.0002641172],"domain_scores_gemma":[0.99963087,0.00017594789,0.000034484816,0.000041772415,0.000046755726,0.00007015346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028717294,0.00010559117,0.00010530162,0.00001515621,0.00016553633,0.00016933735,0.00019370775,0.000049163467,0.00002465419],"category_scores_gemma":[0.000040104194,0.00003799006,0.00006962174,0.00021195898,0.000022661832,0.000020793717,0.000080595724,0.00007833104,0.000015561229],"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":[0.0000103652455,0.000005617817,0.00020282637,0.0000081499575,0.000021683822,0.000036580557,0.000035093548,0.000037037935,0.96436167,0.0055835657,0.00040907698,0.029288327],"study_design_scores_gemma":[0.00030942762,0.0025393313,0.0508044,0.00056318066,0.00018920361,0.00045699804,0.00087692356,0.011412624,0.7707192,0.010548477,0.15059008,0.000990213],"about_ca_topic_score_codex":0.00011362533,"about_ca_topic_score_gemma":0.000107256565,"teacher_disagreement_score":0.19364253,"about_ca_system_score_codex":0.00001814105,"about_ca_system_score_gemma":0.0000074606664,"threshold_uncertainty_score":0.1632924},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98896545,0.009626393,0.00013462068,0.00029551258,0.0003005138,0.00023587044,0.00022675615,0.000031317006,0.00018354737],"genre_scores_gemma":[0.9943489,0.0039667687,0.0011626781,0.000069435286,0.00029546276,0.000007668186,0.000028964403,0.0000023504294,0.00011777682],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991512,0.000009944946,0.00015076138,0.00033156018,0.000089810725,0.0002667711],"domain_scores_gemma":[0.99968165,0.00011298563,0.000032022082,0.000040546594,0.000034692206,0.00009807328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014157465,0.00015225346,0.00013723501,0.00001497559,0.00045583543,0.0005930204,0.00013055805,0.00008300319,0.0000291438],"category_scores_gemma":[0.0000041843273,0.00007782202,0.000042221553,0.000073983516,0.00006549411,0.000055790224,0.0002986326,0.00006568045,0.000001324012],"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":[0.00005642818,0.000029220657,0.024486393,0.00029927032,0.00010651551,0.000014403776,0.001586212,0.00010552163,0.42393234,0.0046738586,0.00043133265,0.5442785],"study_design_scores_gemma":[0.0010188032,0.0024880932,0.56339973,0.00013934105,0.00043662137,0.00009716212,0.014428726,0.028804827,0.0122113405,0.06137351,0.31362194,0.001979911],"about_ca_topic_score_codex":0.00016088254,"about_ca_topic_score_gemma":0.00048015584,"teacher_disagreement_score":0.54229856,"about_ca_system_score_codex":0.000013717847,"about_ca_system_score_gemma":0.000013878094,"threshold_uncertainty_score":0.5718509},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945706,0.0027114062,0.0008175594,0.0013412839,0.00013679411,0.00019039628,0.000040545754,0.00006608435,0.00012531204],"genre_scores_gemma":[0.9961116,0.0005308308,0.002912471,0.00026336373,0.00009785658,0.00001947043,0.000017275304,5.2729695e-7,0.00004665531],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991687,0.000048549275,0.00023039742,0.00024930265,0.00013076294,0.00017230878],"domain_scores_gemma":[0.9990706,0.00073300634,0.00003936679,0.00003599619,0.000043633594,0.000077389726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002115619,0.0000907931,0.00012718776,0.00001530738,0.000067416615,0.000057111483,0.00018082657,0.00007936106,0.00043320042],"category_scores_gemma":[0.00024679213,0.000032684937,0.000060935967,0.00033786971,0.000044735716,0.0000479451,0.00005806239,0.0000658883,0.00013481629],"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":[0.000021691414,0.000035308793,0.0063212267,0.00005504673,0.000014809916,0.000020500862,0.0001808603,0.00037486368,0.8637781,0.0028056523,0.00073185883,0.12566008],"study_design_scores_gemma":[0.00007082724,0.0025718263,0.9408447,0.0015581809,0.00004581085,0.00008021295,0.00060185604,0.012305113,0.0033685423,0.014254639,0.023769375,0.0005288823],"about_ca_topic_score_codex":0.00013966952,"about_ca_topic_score_gemma":0.000044281314,"teacher_disagreement_score":0.9345235,"about_ca_system_score_codex":0.000013340293,"about_ca_system_score_gemma":0.000008717824,"threshold_uncertainty_score":0.47432408},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983548,0.00052665913,0.00023189074,0.00023791449,0.00002207238,0.00023807617,0.0001483988,0.000020579297,0.00021964335],"genre_scores_gemma":[0.9990402,0.00028967057,0.00032280353,0.00019310364,0.000070611044,0.000013375491,0.00004003693,0.000003372421,0.000026865082],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99899113,0.000044369604,0.00014616389,0.00038992494,0.00012798543,0.00030041355],"domain_scores_gemma":[0.99946856,0.0003260691,0.000017725268,0.000043808526,0.0000020956338,0.00014176458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018760082,0.00019143797,0.00018512175,0.0000123821455,0.00010306099,0.000082068545,0.000063017585,0.000097549775,0.000060730697],"category_scores_gemma":[0.000007092429,0.00008100605,0.000017549559,0.00010960714,0.00026812658,0.00001285756,0.00010791515,0.00012562853,0.000009393662],"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":[0.00009186715,0.000118320706,0.023207447,0.0000151478625,0.000031773885,0.000025488367,0.0004861967,0.0007841676,0.89511424,0.0057173143,0.000028809618,0.0743792],"study_design_scores_gemma":[0.00068190607,0.00064754003,0.8857534,0.00015000146,0.000056217665,0.000063324376,0.0006778112,0.039658174,0.04958382,0.017050238,0.004708639,0.0009689446],"about_ca_topic_score_codex":0.000008348397,"about_ca_topic_score_gemma":0.000074728865,"teacher_disagreement_score":0.8625459,"about_ca_system_score_codex":0.000015426433,"about_ca_system_score_gemma":0.0000026305136,"threshold_uncertainty_score":0.33033308},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99104387,0.0073960964,0.000005808187,0.0005975747,0.00048619037,0.000084968255,0.000028748847,0.0000039199026,0.0003528191],"genre_scores_gemma":[0.99913436,0.0004435304,0.00025083768,0.000025815243,0.0001382434,8.7997614e-7,0.0000018700624,3.2307744e-7,0.0000041115395],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99840724,0.00014005593,0.00036827967,0.00014976611,0.00079881534,0.00013583303],"domain_scores_gemma":[0.99919534,0.0002443531,0.00018185854,0.000025587467,0.00031751237,0.00003536207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013569081,0.00007708708,0.00017014009,0.000034030312,0.00006400999,0.000083142404,0.0002609583,0.000045183293,0.00011714453],"category_scores_gemma":[0.00007501408,0.000028526243,0.00006242998,0.0005485371,0.0001236039,0.00028566952,0.000025577569,0.00010027592,0.0000015651502],"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":[0.000019906262,0.00010183647,0.059379525,0.0000562397,0.000018973553,0.000008227364,0.0021196096,0.0019695584,0.77029383,0.00021369633,0.000092689406,0.16572593],"study_design_scores_gemma":[0.00016860662,0.0005384735,0.9289821,0.0005626461,0.00005487318,0.000033756784,0.0032527263,0.008313532,0.0509963,0.0051012794,0.0018301752,0.00016554333],"about_ca_topic_score_codex":0.00022176254,"about_ca_topic_score_gemma":0.00066190417,"teacher_disagreement_score":0.86960256,"about_ca_system_score_codex":0.000023896315,"about_ca_system_score_gemma":0.00006478699,"threshold_uncertainty_score":0.12826505},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99539536,0.0009563787,0.0012541435,0.0007466691,0.0006265224,0.00014992886,0.0000037391355,0.000025505722,0.00084175565],"genre_scores_gemma":[0.96684295,0.00017877713,0.032768413,0.000015708312,0.0000629424,0.000008967594,0.0000016657029,4.184281e-7,0.000120166704],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99917203,0.00012254245,0.00017935637,0.00018768475,0.00014877784,0.00018961508],"domain_scores_gemma":[0.99941725,0.00046129173,0.000033253284,0.0000328344,0.000021838237,0.000033543212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019176014,0.000063836545,0.000069650036,0.000017580142,0.000105401654,0.00015202844,0.00025721773,0.000039052804,0.0000154887],"category_scores_gemma":[0.00012672595,0.000018834171,0.000042291504,0.00079923886,0.00011005915,0.000047575104,0.00004674775,0.0000730476,0.0000020487541],"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":[0.0000015763533,0.000003169281,0.0017067315,0.0000021008645,4.520426e-7,5.198905e-7,0.000033981672,9.992326e-7,0.43832552,0.0003118644,0.000014943614,0.55959815],"study_design_scores_gemma":[0.00005267461,0.00057626766,0.8587866,0.00025536187,0.000011579678,0.000025124733,0.0022959623,0.038471498,0.054067478,0.0053200237,0.039868828,0.00026858924],"about_ca_topic_score_codex":0.00018910739,"about_ca_topic_score_gemma":0.00025938364,"teacher_disagreement_score":0.85707986,"about_ca_system_score_codex":0.000012749115,"about_ca_system_score_gemma":0.000009455515,"threshold_uncertainty_score":0.14660138},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979264,0.00030830197,0.000026799133,0.0001745848,0.00034120877,0.0000660463,0.00007770418,0.000019510158,0.0010594432],"genre_scores_gemma":[0.9994127,0.000026314914,0.000081536244,0.000037374648,0.00011066636,0.0000017287921,0.0000064976734,5.929013e-7,0.00032259407],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989478,0.0000105578165,0.00016121399,0.00031408516,0.00023267951,0.0003336829],"domain_scores_gemma":[0.9997281,0.00008180662,0.000039977866,0.00004453063,0.000011869761,0.000093709496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050976576,0.00008492912,0.00009411374,0.000010394198,0.00026278972,0.00019445323,0.0003762729,0.000028872557,0.000086828695],"category_scores_gemma":[0.000033786444,0.000034831377,0.00004521304,0.00031908436,0.0003608988,0.00014312344,0.00012629638,0.00006568761,0.000049904083],"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":[0.0000012456431,0.0000079382535,0.003852135,0.000004938739,0.000002243082,0.0000033462534,0.00013530464,0.00006754726,0.9662416,0.00030912735,0.00005662219,0.029317938],"study_design_scores_gemma":[0.00007143887,0.00016974098,0.7491838,0.00012926421,0.0000105089275,0.000034690853,0.00059324404,0.011334128,0.2199914,0.00037438326,0.017822685,0.0002847535],"about_ca_topic_score_codex":0.0001304188,"about_ca_topic_score_gemma":0.000019815556,"teacher_disagreement_score":0.7462502,"about_ca_system_score_codex":0.000025999301,"about_ca_system_score_gemma":0.000016763044,"threshold_uncertainty_score":0.20211928},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2207165,0.000038173777,9.517352e-9,0.0006785327,0.0000033079955,0.00007300729,0.00003554519,0.000047534657,0.7784074],"genre_scores_gemma":[0.029515332,0.0000015511451,0.000027883483,0.00010921656,0.00023719814,0.0000038144915,0.000039521754,6.3478126e-7,0.9700648],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993926,0.000015683543,0.00009579056,0.00016617533,0.00011562779,0.00021411355],"domain_scores_gemma":[0.999768,0.00004596381,0.000014543158,0.000035922618,0.000018801535,0.00011676317],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008577696,0.0000853499,0.00008976559,0.0000058860223,0.00010321989,0.000052396364,0.00017811461,0.00004902715,0.98451906],"category_scores_gemma":[0.000008146769,0.00003269556,0.000041346084,0.00015856583,0.000011070076,0.000027350176,0.00002641424,0.00004611285,0.9137102],"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":[0.000015749421,0.000017227072,0.0000061667793,7.3839936e-7,0.0000032682847,0.0000023758234,0.000004749537,0.000018611008,0.012237992,0.000001280415,0.052899964,0.93479186],"study_design_scores_gemma":[0.00003298933,0.00016791146,0.0030678753,0.0000066863417,0.00000401763,0.000006309401,0.0000012562105,0.00006839222,0.00022819747,0.000010867335,0.9962883,0.00011722609],"about_ca_topic_score_codex":0.00007781542,"about_ca_topic_score_gemma":0.0000030060432,"teacher_disagreement_score":0.9433883,"about_ca_system_score_codex":0.0000056806175,"about_ca_system_score_gemma":0.0000021505032,"threshold_uncertainty_score":0.13332862},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784756,0.00091113785,0.00007178311,0.00031170886,0.000057893252,0.00018228765,0.00007553437,0.000006453341,0.0005356646],"genre_scores_gemma":[0.9974349,0.0011587727,0.0012164213,0.00008838678,0.000024557125,0.0000071788977,0.000024186966,6.6033573e-7,0.000044899687],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987923,0.000096597476,0.00046339064,0.00031542976,0.000109829714,0.00022248935],"domain_scores_gemma":[0.99932045,0.00033068244,0.00016562716,0.00005577839,0.0000688913,0.00005859926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003209274,0.00013582154,0.0004400832,0.000104168794,0.000056570392,0.000019620597,0.00021394448,0.00021458312,0.00012349263],"category_scores_gemma":[0.00005893312,0.00006522061,0.00012626115,0.0008413365,0.00010104573,0.000008732627,0.000119938675,0.00010101791,5.76538e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006314981,0.00030763622,0.43991485,0.00002433636,0.00024655683,0.000007957634,0.00018168599,0.005848136,0.5300164,0.00072719733,0.00006274895,0.022599315],"study_design_scores_gemma":[0.00014770225,0.00027197791,0.9898134,0.0000071923128,0.00017597478,0.000001166185,0.00009644141,0.006692555,0.00092692993,0.0012086474,0.00054339506,0.00011463486],"about_ca_topic_score_codex":0.0000494237,"about_ca_topic_score_gemma":0.0007225774,"teacher_disagreement_score":0.5498985,"about_ca_system_score_codex":0.000013568382,"about_ca_system_score_gemma":0.0000118894095,"threshold_uncertainty_score":0.26596192},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946228,0.00009251695,0.000041637362,0.00086870627,0.0013338993,0.00012969767,0.00001706784,0.00004461022,0.0028490121],"genre_scores_gemma":[0.99898714,0.0000122000565,0.00006747053,0.00022312453,0.0000586078,0.000006561603,0.000043529824,5.452449e-7,0.00060079474],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988325,0.000024423263,0.0002258079,0.00053555623,0.00014994842,0.00023171767],"domain_scores_gemma":[0.99953717,0.00017518339,0.000087951536,0.000100443875,0.00003964219,0.00005958408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033425912,0.000120379074,0.00012867701,0.000020193509,0.00048283036,0.00024267967,0.000110689616,0.00007518946,0.000105190775],"category_scores_gemma":[0.00014750862,0.000047122056,0.00006155575,0.00035992631,0.000177237,0.000072745686,0.00009769868,0.00014343733,0.0000042991246],"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":[0.000007207658,0.000033334753,0.00097268913,0.000004615742,0.000007598318,0.000018279183,0.0000800914,0.000008484638,0.98891795,0.001792278,0.0059889858,0.0021684894],"study_design_scores_gemma":[0.0001596992,0.0003350139,0.13630368,0.0005488775,0.000033068638,0.00025552133,0.0026233285,0.00037221803,0.2665112,0.45520216,0.13683757,0.0008176741],"about_ca_topic_score_codex":0.00005481997,"about_ca_topic_score_gemma":0.00006934464,"teacher_disagreement_score":0.72240674,"about_ca_system_score_codex":0.000029569883,"about_ca_system_score_gemma":0.000013734193,"threshold_uncertainty_score":0.37135896},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950471,0.00051453087,0.0002689075,0.0007926054,0.00011208051,0.00042365064,0.0008868462,0.000018897701,0.0019353597],"genre_scores_gemma":[0.9982532,0.00022611878,0.000041181058,0.00023815838,0.00009462464,0.00003627673,0.00039152658,7.0863723e-7,0.0007181731],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993297,0.000028285564,0.00017587472,0.00017387021,0.00007346091,0.00021882085],"domain_scores_gemma":[0.9997173,0.00015350849,0.000039979066,0.00005472717,0.0000047572203,0.000029704815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002668662,0.000092313196,0.00012048157,0.000013475762,0.0001715448,0.00003044419,0.00021366635,0.000055247787,0.000031398227],"category_scores_gemma":[0.0000017351689,0.00003508818,0.000042397027,0.00006667887,0.000017792127,0.000023633685,0.00006235925,0.000077701385,0.000011681994],"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":[0.00009827471,0.00006697082,0.0018195827,0.000009694851,0.00001993113,0.000002058795,0.00023840716,0.011763479,0.97406226,0.001044293,0.0010571253,0.0098179355],"study_design_scores_gemma":[0.0021305985,0.0011703355,0.31373078,0.00013943356,0.00020441678,0.00006425111,0.0012732538,0.18991733,0.020496491,0.1105029,0.3592728,0.0010974313],"about_ca_topic_score_codex":0.00027144805,"about_ca_topic_score_gemma":0.00051158713,"teacher_disagreement_score":0.9535658,"about_ca_system_score_codex":0.000035666908,"about_ca_system_score_gemma":0.0000045094425,"threshold_uncertainty_score":0.14308544},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967691,0.000829446,0.00019518076,0.00032983953,0.00044745524,0.00023732816,0.00090518995,0.000013035553,0.00027343133],"genre_scores_gemma":[0.99847615,0.00009712718,0.0001805168,0.00012835815,0.00015101743,0.00001258481,0.00028028552,0.000001270148,0.00067270774],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989227,0.00013334343,0.00021244283,0.00027701491,0.00021134311,0.00024314233],"domain_scores_gemma":[0.99965084,0.00008059371,0.00007281804,0.000104963365,0.000017992048,0.00007279498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024246745,0.0001488849,0.00018864896,0.000013068196,0.00017654164,0.00003728912,0.00035673048,0.00007508112,0.00020386268],"category_scores_gemma":[0.000018855206,0.000054904976,0.00008369356,0.00015945823,0.000026676722,0.00002349199,0.00016662246,0.00009177489,0.000013574793],"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":[0.00007728895,0.000056751407,0.0653473,0.00000417775,0.000012671643,8.848108e-7,0.000053291693,0.00003421833,0.91054255,0.0000034654443,0.010440613,0.013426786],"study_design_scores_gemma":[0.00012627161,0.00012925405,0.87618315,0.000021310236,0.000015362075,7.896069e-7,0.00013589005,0.000051240684,0.10563416,0.00003790889,0.017530007,0.00013467098],"about_ca_topic_score_codex":0.00022138486,"about_ca_topic_score_gemma":0.00037172702,"teacher_disagreement_score":0.81083584,"about_ca_system_score_codex":0.000018272156,"about_ca_system_score_gemma":0.0000047822377,"threshold_uncertainty_score":0.223896},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701047,0.00078428467,0.000010987074,0.00082119874,0.000063135456,0.00041645236,0.00037721667,0.000003942949,0.00051233324],"genre_scores_gemma":[0.9976827,0.0017946892,0.000026654814,0.000011728511,0.000080098194,0.000028219123,0.00028669028,6.7412134e-7,0.000088578636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980927,0.00041913727,0.0003216135,0.00035145582,0.0005750371,0.00024002715],"domain_scores_gemma":[0.99875295,0.000818144,0.00013878444,0.00013295216,0.00011281845,0.00004433823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012449999,0.00013399776,0.00034222737,0.0001930722,0.00009911068,0.000052582593,0.0003783931,0.00022466366,0.00024376632],"category_scores_gemma":[0.00009345943,0.000052157455,0.00012332149,0.0005508514,0.00010372411,0.00001761251,0.0005052992,0.00057012547,0.0000017338261],"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":[0.0005511348,0.0006927715,0.74209005,0.001051972,0.0010773953,0.000019742156,0.0055724927,0.008089678,0.12858649,0.0007751355,0.00038156236,0.111111574],"study_design_scores_gemma":[0.000070886985,0.0002456436,0.99200124,0.00015228399,0.00012339687,4.907217e-7,0.0010251537,0.0028022157,0.0012927917,0.000495371,0.0016867917,0.000103709564],"about_ca_topic_score_codex":0.010416862,"about_ca_topic_score_gemma":0.012856187,"teacher_disagreement_score":0.24991122,"about_ca_system_score_codex":0.000037755595,"about_ca_system_score_gemma":0.000026958385,"threshold_uncertainty_score":0.99617285},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18369348,0.000025764873,8.041745e-9,0.00053426105,0.0000017976059,0.00005456614,0.000024481657,0.000038723883,0.8156269],"genre_scores_gemma":[0.016171034,7.422448e-7,0.000023595912,0.000082644045,0.00017525685,0.0000027708631,0.00002777315,3.9100792e-7,0.9835158],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954826,0.000010986626,0.00006955961,0.00012404346,0.00008617935,0.00016095638],"domain_scores_gemma":[0.9998277,0.0000347149,0.000009336776,0.00002570308,0.000013139758,0.000089412424],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006415457,0.000061509985,0.00006418091,0.0000039742204,0.00007583055,0.000037165973,0.00013352666,0.00003373169,0.9924799],"category_scores_gemma":[0.0000055245437,0.000022594377,0.00002949524,0.000121671335,0.0000068762342,0.000019495526,0.000017680786,0.00003158833,0.93566424],"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":[0.000010228901,0.000009886791,0.0000022426857,3.4463002e-7,0.0000017640591,0.0000012629039,0.00000234715,0.000010153253,0.010956751,5.778384e-7,0.012573168,0.97643125],"study_design_scores_gemma":[0.000022132901,0.00012219072,0.0022936857,0.0000039663446,0.0000025156887,0.0000043584555,7.033985e-7,0.00004892481,0.000103927465,0.0000035452158,0.997309,0.0000850166],"about_ca_topic_score_codex":0.00005016849,"about_ca_topic_score_gemma":0.0000015239901,"teacher_disagreement_score":0.98473585,"about_ca_system_score_codex":0.0000036601139,"about_ca_system_score_gemma":0.0000012353319,"threshold_uncertainty_score":0.092137195},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933281,0.0019040572,0.00061607297,0.0029104464,0.00072459225,0.00029684635,0.000049774666,0.000012364423,0.0001577269],"genre_scores_gemma":[0.99644625,0.001545325,0.001245756,0.00024507663,0.0004442609,0.000004006852,0.0000047660674,0.0000042061483,0.000060332128],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9952055,0.00024452957,0.0018717867,0.0006778777,0.0011306907,0.0008695744],"domain_scores_gemma":[0.9959705,0.0010561715,0.0016129835,0.00012784237,0.0006622772,0.00057024637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036884341,0.0004717723,0.0010434993,0.0003972481,0.0008320581,0.0007045941,0.0010931883,0.00030534138,0.000064867025],"category_scores_gemma":[0.00030486082,0.0002360532,0.00030167133,0.0014416134,0.000825133,0.0016115749,0.00021690116,0.0010187513,0.000003465929],"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":[0.0002624251,0.00031409194,0.082622305,0.000042345273,0.00005656645,0.00007333165,0.00047022925,0.0034430032,0.8923707,0.00016425396,0.0002326232,0.0199481],"study_design_scores_gemma":[0.001837559,0.00086465344,0.96426356,0.00060304045,0.0001183827,0.0008696231,0.0038896862,0.0038142602,0.020509738,0.0025609853,0.00020827206,0.0004602449],"about_ca_topic_score_codex":0.00020463434,"about_ca_topic_score_gemma":0.00027561275,"teacher_disagreement_score":0.88164127,"about_ca_system_score_codex":0.00021796791,"about_ca_system_score_gemma":0.00031973785,"threshold_uncertainty_score":0.962597},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088464275,0.90452445,0.005672378,0.00009352393,0.00003789722,0.0005662564,0.0004316833,0.000011949188,0.00019762103],"genre_scores_gemma":[0.17222667,0.822465,0.004973214,0.000032567503,0.000104548955,0.000011900014,0.00018134233,0.0000020092268,0.000002740746],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99899644,0.000040291467,0.000372657,0.00032317895,0.00011268864,0.00015476874],"domain_scores_gemma":[0.99928015,0.00045551299,0.00009535497,0.00003712561,0.00005924285,0.000072618575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002581392,0.00020632819,0.0005910792,0.000018525307,0.00012461687,0.0000633804,0.00007476649,0.00019925338,0.0000036076383],"category_scores_gemma":[0.000030619067,0.00009541652,0.00006859101,0.00009102696,0.00020897354,0.000007935454,0.00010298293,0.00011800334,7.73485e-8],"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":[0.000015244914,0.000011369566,0.0000020143532,0.0031742954,0.000013362699,1.8778819e-7,0.000025654963,0.000015414143,0.009155745,0.113194264,0.0000011655592,0.87439126],"study_design_scores_gemma":[0.0010787599,0.00078079494,0.00012362364,0.027931873,0.0017403758,0.000055266373,0.000734316,0.06600481,0.006757851,0.87060004,0.021774732,0.0024175516],"about_ca_topic_score_codex":0.0000062008694,"about_ca_topic_score_gemma":0.0000057539382,"teacher_disagreement_score":0.87197375,"about_ca_system_score_codex":0.000004935196,"about_ca_system_score_gemma":0.000009011992,"threshold_uncertainty_score":0.3890973},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4004007,0.008458628,0.0011402639,0.001060191,0.00055908086,0.0009785016,0.00086025434,0.00006130782,0.5864811],"genre_scores_gemma":[0.8826494,0.0030506402,0.00037307525,0.000087834036,0.00006685666,0.000003878414,0.0003919562,0.0000015087329,0.11337483],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993505,0.000010636403,0.00018854397,0.00021922303,0.00014886218,0.000082226026],"domain_scores_gemma":[0.9997537,0.000061152234,0.000105184,0.000036789308,0.000006147662,0.0000370227],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000056348792,0.00015404636,0.00017101772,0.00001473322,0.00006269757,0.000021357924,0.00007148636,0.00014980901,0.0025118669],"category_scores_gemma":[0.0000019456284,0.00006853297,0.00006693297,0.000008187059,0.00004654336,0.000021711834,0.00008319197,0.000087363944,0.0000119322585],"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":[0.00016341648,0.00009950267,0.00080934016,0.0001139693,0.00041212075,0.000024048115,0.0003412776,0.0006295979,0.4307738,0.04280049,0.0011882012,0.5226442],"study_design_scores_gemma":[0.00046871495,0.0013293556,0.010974259,0.00029730983,0.0005666277,0.00004152794,0.0011992694,0.0033702115,0.024268556,0.0118668275,0.9442133,0.0014040528],"about_ca_topic_score_codex":0.000063437845,"about_ca_topic_score_gemma":0.000056026056,"teacher_disagreement_score":0.9430251,"about_ca_system_score_codex":0.000016836957,"about_ca_system_score_gemma":0.0000026373943,"threshold_uncertainty_score":0.9984},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745984,0.02097663,0.000055926495,0.0016862506,0.0005261779,0.00041918733,0.00021624568,0.000008228645,0.001512961],"genre_scores_gemma":[0.9659452,0.031881303,0.0007626342,0.0004866482,0.00020046979,0.000006820661,0.000026197198,0.0000036091303,0.00068712945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752784,0.00011424388,0.0010085412,0.0005254471,0.00021923793,0.000604676],"domain_scores_gemma":[0.99849695,0.00070804637,0.00036102414,0.000116852745,0.0001896678,0.00012743258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083658984,0.0002930387,0.0005637729,0.00011797967,0.0002088202,0.00015894041,0.00033213844,0.0003748592,0.000052753272],"category_scores_gemma":[0.00016269386,0.00020498838,0.00011444258,0.00064282544,0.00007986023,0.00004294581,0.00020967812,0.00027830695,0.00000610592],"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":[0.00006599072,0.00018763138,0.67108434,0.00032703386,0.000078327525,0.0000075924972,0.00077544566,0.0014339017,0.30139998,0.0003820549,0.000109177454,0.024148505],"study_design_scores_gemma":[0.00067281636,0.00016600578,0.95933276,0.00019620472,0.0000715702,0.0000020057478,0.0005040719,0.0030718937,0.0015187598,0.0023900636,0.031709485,0.0003643687],"about_ca_topic_score_codex":0.0002124638,"about_ca_topic_score_gemma":0.000608227,"teacher_disagreement_score":0.29988122,"about_ca_system_score_codex":0.00014270586,"about_ca_system_score_gemma":0.000074009375,"threshold_uncertainty_score":0.8359183},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99278665,0.0002434845,0.00008075543,0.002450822,0.00042490804,0.00024489712,0.000017366247,0.000030883555,0.0037202507],"genre_scores_gemma":[0.99840146,0.00006220256,0.0009649775,0.00032718916,0.0000898993,0.000020430934,0.0000060342904,3.2234001e-7,0.00012745909],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99846005,0.000025190375,0.00024899966,0.0004978489,0.00033578364,0.00043212183],"domain_scores_gemma":[0.99948305,0.00022337244,0.000080271675,0.00004595427,0.00008008138,0.000087294386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016609798,0.00011040959,0.00013748155,0.00011037698,0.0011357575,0.00027458536,0.0007338417,0.000045087414,0.000025690193],"category_scores_gemma":[0.0008291427,0.00004531942,0.00004447302,0.0030210633,0.0005243113,0.00034996218,0.00011727074,0.00005553487,0.000002211967],"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":[0.000017891956,0.0000823057,0.2912858,0.000021376562,0.0000024360404,4.0806853e-7,0.0004629441,0.00086132623,0.6089093,0.0062581985,0.0004009383,0.09169707],"study_design_scores_gemma":[0.00015815682,0.0002357004,0.93636805,0.00012559231,0.0000047760186,0.0000012078916,0.0011200263,0.03279296,0.020855317,0.0061650807,0.0019413077,0.00023181588],"about_ca_topic_score_codex":0.00036032943,"about_ca_topic_score_gemma":0.0005014008,"teacher_disagreement_score":0.64508224,"about_ca_system_score_codex":0.000022863187,"about_ca_system_score_gemma":0.000097445336,"threshold_uncertainty_score":0.8735444},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947281,0.0024765823,0.00000569818,0.0008692706,0.000057936868,0.0001792264,0.00008606189,0.000014717306,0.001582435],"genre_scores_gemma":[0.9968847,0.001071031,0.0000533351,0.000036349546,0.000034482684,0.000012245286,0.00003245444,0.0000010832347,0.0018743027],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998875,0.000075378004,0.0002017331,0.0002582126,0.00024404009,0.00034564015],"domain_scores_gemma":[0.99941224,0.0003763182,0.000033587745,0.000043577507,0.00005500674,0.000079267134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063912204,0.000102205304,0.0001909232,0.0000631391,0.00017454145,0.00013457121,0.00017977734,0.00010177121,0.0001089733],"category_scores_gemma":[0.0000699529,0.00004783295,0.000021781041,0.00040138216,0.00011276522,0.00007847655,0.0002453407,0.00016927955,0.0000026243733],"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":[0.000085567386,0.00006704222,0.22350918,0.00009620651,0.000018055214,0.000005240359,0.00021562082,0.000003721741,0.75242084,0.0014993426,0.005440745,0.01663843],"study_design_scores_gemma":[0.0005805516,0.0003887487,0.93801063,0.00015429141,0.000012600344,0.000007558877,0.0014217648,0.0009224909,0.03430775,0.0061195544,0.017825548,0.00024851976],"about_ca_topic_score_codex":0.0017674827,"about_ca_topic_score_gemma":0.0013697962,"teacher_disagreement_score":0.7181131,"about_ca_system_score_codex":0.000010368197,"about_ca_system_score_gemma":0.000020991796,"threshold_uncertainty_score":0.2671917},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99889886,0.000066731394,0.00006135357,0.0006718915,0.00006796252,0.00009449931,0.000015253948,0.0000011580665,0.0001222692],"genre_scores_gemma":[0.997739,0.000064492255,0.0020035398,0.000036467285,0.00013313758,0.0000017550528,0.0000011309055,3.2815908e-7,0.00002013557],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993786,0.0000054166585,0.00023177895,0.00008130941,0.00017368187,0.0001292205],"domain_scores_gemma":[0.9996151,0.00009936972,0.00015259642,0.000013945904,0.00006737995,0.000051637613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056033884,0.000043458775,0.00008790261,0.000021270407,0.000110699824,0.00002649199,0.00017291638,0.000018953333,0.00015315421],"category_scores_gemma":[0.000024107556,0.000017853921,0.00004150538,0.00014237898,0.000079291516,0.00017516472,0.000011022284,0.000045407516,0.0000010951435],"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":[0.00012044604,0.000010230193,0.011217116,0.0000035264516,0.0000019617949,3.0657486e-7,0.00010325506,0.00007548603,0.97331023,0.00023404167,0.000041248422,0.014882166],"study_design_scores_gemma":[0.00045416015,0.0035673748,0.845221,0.00012470385,0.000021444004,0.000042881256,0.0002984715,0.005208496,0.10098807,0.005150559,0.0387353,0.00018756429],"about_ca_topic_score_codex":0.00003153613,"about_ca_topic_score_gemma":0.00016574007,"teacher_disagreement_score":0.87232214,"about_ca_system_score_codex":0.000036087462,"about_ca_system_score_gemma":0.000023307184,"threshold_uncertainty_score":0.16769312},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944206,0.000044560293,0.000014763156,0.0001958952,0.00008899002,0.00042186413,0.004683841,0.000008495415,0.000121017285],"genre_scores_gemma":[0.9995123,0.000007564989,0.00018225153,0.000047575013,0.00006724347,0.0000067516066,0.00013669941,0.0000015078181,0.000038074402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828535,0.0000996849,0.00047729845,0.000448856,0.00020431953,0.00048447438],"domain_scores_gemma":[0.9980522,0.0014108559,0.00013076296,0.00010906327,0.00010109739,0.00019607038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002921468,0.0001937671,0.00048865617,0.000036274098,0.000103231265,0.000028310482,0.00021107124,0.00015188647,0.00056727586],"category_scores_gemma":[0.00027170125,0.000099849625,0.00014447459,0.00045981878,0.00014117509,0.000055716755,0.000083583895,0.0001318953,7.640049e-7],"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":[0.0006744935,0.0003082005,0.9293377,0.000022406823,0.00022500377,0.0000034649395,0.0011859741,0.0000048730126,0.061796773,0.00044323687,0.00017923949,0.0058186585],"study_design_scores_gemma":[0.00035938827,0.00028472955,0.994138,0.0000186611,0.00015652658,0.0000011242228,0.0012862681,0.00076881086,0.0018819327,0.000108749824,0.0007435359,0.0002522961],"about_ca_topic_score_codex":0.8572326,"about_ca_topic_score_gemma":0.96744406,"teacher_disagreement_score":0.110211484,"about_ca_system_score_codex":0.000053492473,"about_ca_system_score_gemma":0.000055393506,"threshold_uncertainty_score":0.62112725},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709034,0.00025156603,0.000006902337,0.0005881274,0.00006736135,0.00017202529,0.00011548578,0.000024139981,0.0016840629],"genre_scores_gemma":[0.99838036,0.00013162704,0.00034756397,0.00016876201,0.00008051154,0.000010194771,0.000084757856,0.0000013133746,0.0007949253],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990804,0.000032036904,0.00020338198,0.00029024505,0.00012447337,0.0002694432],"domain_scores_gemma":[0.9996074,0.00014517046,0.0000610787,0.00006788959,0.000010558165,0.00010792653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118039825,0.00014271551,0.0001503246,0.000021436788,0.0001430539,0.00004390182,0.00019281532,0.000074309,0.00039513604],"category_scores_gemma":[0.00002659331,0.000066312205,0.000034392517,0.00015827199,0.000079648846,0.00007098235,0.0001069103,0.00008446553,0.00008468871],"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":[0.0000144725445,0.0002153181,0.2270086,0.000007184591,0.000010553771,0.000009136622,0.00032893015,8.0744684e-7,0.7421526,0.0007788668,0.0007179349,0.028755656],"study_design_scores_gemma":[0.0001465521,0.00012578059,0.9618051,0.000023541936,0.0000071950794,0.0000074165973,0.00017838409,0.00010099032,0.0022068403,0.0002661166,0.03492736,0.00020471413],"about_ca_topic_score_codex":0.016467335,"about_ca_topic_score_gemma":0.023794867,"teacher_disagreement_score":0.7399457,"about_ca_system_score_codex":0.000019091993,"about_ca_system_score_gemma":0.0000042090355,"threshold_uncertainty_score":0.9940183},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987196,0.000008599209,0.0003638335,0.000094797164,0.000049165756,0.000204025,0.00015808418,0.000018734816,0.00038317312],"genre_scores_gemma":[0.99982715,8.0993607e-7,0.000041216794,0.00006650159,0.000020987967,0.000012191274,0.000020513487,3.8542908e-7,0.0000102481545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907,0.000022822733,0.00046933154,0.00010390407,0.0001424961,0.00019148087],"domain_scores_gemma":[0.9994829,0.000099772304,0.00020625013,0.000034433036,0.00011959683,0.000057026762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026675803,0.000100406396,0.00025517785,0.00008200152,0.00007536776,0.00009936579,0.00008396068,0.00008611837,0.000053183892],"category_scores_gemma":[0.0000352094,0.000044117543,0.0000567852,0.00042188464,0.000018900577,0.0001877116,0.000033972145,0.000057144134,0.00002423795],"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":[0.000032615044,0.0000028782654,0.98465425,0.00006169891,0.000116284784,5.549361e-7,0.0102877645,0.00045504927,0.002830595,0.00012984619,0.000010355915,0.001418108],"study_design_scores_gemma":[0.00010447078,0.0000503267,0.98081225,0.00006687627,0.000053717147,0.0000031695777,0.012423613,0.005112819,0.0012709369,0.0000033482759,0.0000035061091,0.000094941824],"about_ca_topic_score_codex":0.0010378272,"about_ca_topic_score_gemma":0.00012758424,"teacher_disagreement_score":0.0046577696,"about_ca_system_score_codex":0.000014555705,"about_ca_system_score_gemma":0.0000037156262,"threshold_uncertainty_score":0.17990611},"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":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054466013,0.0000117466725,1.3594439e-8,0.000067160894,0.000008590107,0.000046644378,0.94511527,0.000010642237,0.00027393777],"genre_scores_gemma":[0.49881348,1.4688395e-7,0.000078830584,0.000033693155,0.00010267862,0.000004416865,0.50095683,3.152132e-7,0.0000095832365],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995716,0.000008860372,0.00011570303,0.000102728096,0.00011952393,0.00008158452],"domain_scores_gemma":[0.99945897,0.00033969796,0.00008269379,0.000015983525,0.000054637614,0.0000480061],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000036202457,0.000056384797,0.00008922882,0.0000045402026,0.00003455099,0.0000073736746,0.0000889775,0.000052500152,0.9760777],"category_scores_gemma":[0.00045278686,0.000025968642,0.000042431886,0.00011510915,0.0000027768074,0.000033752898,0.000037740705,0.000047962763,0.000058870904],"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":[0.0000031150742,0.000004036821,0.00020252235,0.00003325464,0.0000025998554,8.2309236e-7,0.000007140952,0.000026428273,0.021807209,0.000003698491,0.9763154,0.0015937925],"study_design_scores_gemma":[0.0000383762,0.000098581724,0.48140508,0.00066097674,0.0000030466479,0.000003316259,0.000020660465,0.00053518877,0.0025358987,0.000044242483,0.51454407,0.00011055519],"about_ca_topic_score_codex":0.000029607017,"about_ca_topic_score_gemma":0.000064186046,"teacher_disagreement_score":0.9760188,"about_ca_system_score_codex":0.0000028061695,"about_ca_system_score_gemma":0.0000033232188,"threshold_uncertainty_score":0.10589705},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9345112,0.00006693037,2.966851e-8,0.000039207633,0.000118145916,0.0015702336,0.06265533,0.000054816384,0.0009841371],"genre_scores_gemma":[0.6812018,0.0000055728597,0.0000075039466,0.00006927193,0.00010370438,0.000487924,0.3140315,0.0000021770713,0.0040905355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857265,0.00008001164,0.0002778299,0.00047922606,0.0002677142,0.0003225723],"domain_scores_gemma":[0.9984832,0.0007137278,0.0003351862,0.0000373209,0.00037113565,0.00005945738],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014541285,0.00025009102,0.00035732327,0.00004019231,0.00030250908,0.00012770457,0.00024915088,0.00044563922,0.0065165046],"category_scores_gemma":[0.0009018641,0.0001229341,0.00007694675,0.00054225646,0.0000012683967,0.00008845989,0.000017874376,0.00024115668,0.000017675837],"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":[0.0032099506,0.0061336723,0.7735507,0.00095616333,0.0008516148,0.0001089805,0.0080051785,0.0036150117,0.01219546,0.000017834625,0.15560502,0.035750426],"study_design_scores_gemma":[0.00049766694,0.0009924562,0.99380565,0.00055028556,0.000046151374,1.0563836e-7,0.001131637,0.00020667398,0.00003428627,0.00005740293,0.002381635,0.0002960309],"about_ca_topic_score_codex":0.000050902552,"about_ca_topic_score_gemma":0.08275548,"teacher_disagreement_score":0.25330937,"about_ca_system_score_codex":0.00025940075,"about_ca_system_score_gemma":0.000049887396,"threshold_uncertainty_score":0.9943917},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990546,0.00007318593,0.00007267044,0.00008224159,0.00015691614,0.00024172278,0.00006927896,0.000020411793,0.00022895678],"genre_scores_gemma":[0.99872977,0.00001405446,0.00079047773,0.00016390366,0.00014759575,0.0000043598643,0.00014685336,0.0000013021441,0.0000016673218],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845886,0.00013110362,0.00032699623,0.0003779366,0.0002961155,0.0004089639],"domain_scores_gemma":[0.99958235,0.00014179078,0.00009134315,0.00008536352,0.000037311973,0.00006185644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066975714,0.00016838811,0.00018230802,0.000051110048,0.00031907443,0.00010293198,0.00054286077,0.000079745914,0.00009736596],"category_scores_gemma":[0.000023623918,0.00006780212,0.000042437117,0.00043229223,0.000073460884,0.00017490209,0.00008695026,0.00014657663,0.0000074061636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000987095,0.00018530505,0.12041455,0.000015845988,0.000008804297,0.000022450136,0.0043615783,0.0038346332,0.8639499,0.0018995184,0.000030317053,0.00517842],"study_design_scores_gemma":[0.00021663873,0.0002635276,0.2428551,0.00010301711,0.0000070245783,0.000023255934,0.0021836148,0.751504,0.0006559066,0.001702995,0.00013031285,0.00035459618],"about_ca_topic_score_codex":0.040742368,"about_ca_topic_score_gemma":0.010309275,"teacher_disagreement_score":0.86329395,"about_ca_system_score_codex":0.000025394304,"about_ca_system_score_gemma":0.000008919291,"threshold_uncertainty_score":0.96564543},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922896,0.00062463304,0.0000013522678,0.00029301853,0.00065246184,0.00034440373,0.00049537927,0.000018140858,0.005281037],"genre_scores_gemma":[0.99230397,0.00012369051,0.0013090428,0.00020045802,0.00022772771,0.00001818527,0.0026981558,0.0000030744015,0.0031157248],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971765,0.000065101354,0.00038062735,0.00137427,0.0005027373,0.00050076324],"domain_scores_gemma":[0.99887913,0.0001809028,0.00022752945,0.00038458902,0.00012258817,0.00020523985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001157211,0.00024103037,0.0003210409,0.000051653464,0.00053656474,0.000993585,0.0052092113,0.00016385221,0.00018786071],"category_scores_gemma":[0.00019824837,0.00012439062,0.000035856578,0.001227849,0.00006937823,0.00048172625,0.0012431218,0.0002565693,0.0000420327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066463704,0.000010041272,0.0004369741,0.000005752167,0.000003120402,0.000012912923,0.00063833175,0.000030132238,0.98704916,0.000010618515,0.0012051319,0.010591164],"study_design_scores_gemma":[0.00043600373,0.00036525584,0.20596975,0.0020833744,0.00012479612,0.000039840834,0.06945098,0.0022327926,0.6678438,0.0025980284,0.045277305,0.0035780498],"about_ca_topic_score_codex":0.024805285,"about_ca_topic_score_gemma":0.056973804,"teacher_disagreement_score":0.31920534,"about_ca_system_score_codex":0.00014479243,"about_ca_system_score_gemma":0.0003430805,"threshold_uncertainty_score":0.9816886},"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":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12587364,0.0004900323,0.000012641833,0.0029856486,0.0013405061,0.0004618886,0.00029763853,0.00023152248,0.86830646],"genre_scores_gemma":[0.48822084,0.00019257178,0.000012050535,0.0006101565,0.0015380027,0.000010098975,0.00010261654,0.000009591779,0.50930405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928087,0.00006376784,0.00008223315,0.00022169911,0.0001696282,0.00018180486],"domain_scores_gemma":[0.99956155,0.00021944978,0.00009629135,0.000072325354,0.000012251864,0.000038120223],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017189863,0.00014939159,0.00013582359,0.00000947396,0.000092616894,0.00005405493,0.00033421826,0.000183502,0.0050707725],"category_scores_gemma":[0.000033311873,0.00003946372,0.00005825466,0.00011296597,0.000028497627,0.0000045024476,0.00004396352,0.00017327796,0.0011349913],"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":[0.000019374833,0.000021417192,0.0003693895,0.0000050987724,0.000012964445,0.0000034722627,0.000011474933,6.700803e-7,0.015685951,0.0008344733,0.93693286,0.04610282],"study_design_scores_gemma":[0.000021651185,0.0002831814,0.003982097,0.00007664925,0.00000820642,0.0000022570173,0.000009779816,0.000052481828,0.00008903853,0.0002265213,0.99509454,0.00015361198],"about_ca_topic_score_codex":0.0004881838,"about_ca_topic_score_gemma":0.0008732285,"teacher_disagreement_score":0.3623472,"about_ca_system_score_codex":0.0000056184326,"about_ca_system_score_gemma":0.0000027579356,"threshold_uncertainty_score":0.9996427},"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":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41519725,0.00013843714,5.890543e-8,0.00019228924,0.00012562223,0.00021464031,0.58399576,4.890552e-7,0.0001354784],"genre_scores_gemma":[0.058282655,0.00040190996,0.000009446214,0.0000878674,0.00015017738,0.000017178867,0.94092005,9.68495e-7,0.00012976248],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970633,0.001634568,0.00027875302,0.0003243428,0.00030351485,0.00039553206],"domain_scores_gemma":[0.9988122,0.0006653528,0.00013972854,0.00027879444,0.000031089974,0.00007285564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028616854,0.0002594586,0.0003914942,0.000010847029,0.0006271299,0.0010135487,0.001968429,0.00025430092,0.0007925201],"category_scores_gemma":[0.00007088574,0.00008453567,0.000109153196,0.00022955204,0.000053497515,0.000053859872,0.0008023049,0.00084647426,0.000054343167],"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":[0.0000147231995,0.00029087593,0.003638672,0.00002704672,0.00007162097,0.00016091719,0.0007973095,0.00000343156,0.00078684656,8.631174e-7,0.95897055,0.03523716],"study_design_scores_gemma":[0.00010727913,0.00007561329,0.10759797,0.00015363033,0.000020497337,0.000022143215,0.0023359118,0.0000021822136,0.000071976916,0.000013499922,0.88934624,0.0002530516],"about_ca_topic_score_codex":0.01758589,"about_ca_topic_score_gemma":0.32514456,"teacher_disagreement_score":0.3569243,"about_ca_system_score_codex":0.000023412866,"about_ca_system_score_gemma":0.00001609079,"threshold_uncertainty_score":0.9889561},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25994262,0.005794132,0.000006068944,0.0007913849,0.00020576689,0.0010983379,0.0020995473,0.00026433816,0.7297978],"genre_scores_gemma":[0.8042279,0.006784637,0.000102223355,0.00003349542,0.0003793197,2.1253021e-7,0.0020074495,0.0004102202,0.18605454],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888456,0.00013568696,0.00020252609,0.0003647137,0.00017182172,0.00024069501],"domain_scores_gemma":[0.9995903,0.00003393306,0.000103770246,0.00008249965,0.00007253678,0.00011700266],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019735002,0.00015172972,0.00021619067,0.00008681979,0.0001676735,0.00037687202,0.00025698243,0.000100569705,0.011955765],"category_scores_gemma":[0.00009368004,0.00007993936,0.000027647793,0.00026683032,0.000100111465,0.000037854155,0.0005139813,0.00018062559,0.0004883797],"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":[0.00012001175,0.00007114142,0.0038033763,0.00061764574,0.00010335413,0.00007486237,0.0006054872,0.0000051473958,0.0033994361,0.00044469003,0.94165677,0.04909807],"study_design_scores_gemma":[0.00010566552,0.00012433447,0.022668121,0.000243705,0.000014815345,0.000014919293,0.0002034798,0.000025682022,0.00001606485,0.000018191264,0.97642034,0.00014465],"about_ca_topic_score_codex":0.00039049442,"about_ca_topic_score_gemma":0.00039091724,"teacher_disagreement_score":0.5442853,"about_ca_system_score_codex":0.000024746385,"about_ca_system_score_gemma":0.000002578485,"threshold_uncertainty_score":0.98894745},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005838294,0.0005744204,0.000006357453,0.0005103084,0.0002446804,0.00021584568,0.00073243055,0.0006859022,0.99644625],"genre_scores_gemma":[0.010755134,0.00053729233,0.000050015657,0.00012330108,0.0012104678,2.6109063e-8,0.00421883,0.000740443,0.9823645],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998831,0.00009393733,0.00013490743,0.00040303767,0.00025909508,0.0002780188],"domain_scores_gemma":[0.9996077,0.000012928007,0.000070755865,0.00010088968,0.000084816835,0.00012294026],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00024634186,0.00015647706,0.00013889045,0.00005781108,0.0004762134,0.0006974151,0.0007059554,0.00015456705,0.24994682],"category_scores_gemma":[0.00006398243,0.00007677866,0.00006367882,0.00033685006,0.000054932883,0.000027574302,0.00062413776,0.0002451197,0.12902544],"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":[0.000004159438,0.000018986908,4.167762e-7,0.00003693667,0.000022797036,0.0000118387425,0.00003754344,3.9803766e-7,0.0071857334,0.00048857275,0.9092469,0.08294571],"study_design_scores_gemma":[0.000044516542,0.0001098729,0.000063260006,0.00010558882,0.000014700997,0.000040293573,0.000065152104,0.000013522577,0.00006379142,0.0001495858,0.99914676,0.00018296622],"about_ca_topic_score_codex":0.00006509316,"about_ca_topic_score_gemma":0.000005952576,"teacher_disagreement_score":0.12092138,"about_ca_system_score_codex":0.00002975862,"about_ca_system_score_gemma":6.157911e-7,"threshold_uncertainty_score":0.8716527},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015011978,0.0012774997,0.000011443953,0.00055409066,0.00020202623,0.00020107116,0.0006208209,0.0006378228,0.9963451],"genre_scores_gemma":[0.004291001,0.00090986653,0.000032687636,0.00018375373,0.0009312284,2.4758195e-8,0.0026703193,0.00051926257,0.9904619],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893904,0.00006615148,0.00011732521,0.00037903525,0.00023914808,0.0002592781],"domain_scores_gemma":[0.9996603,0.000010503881,0.00006208311,0.00008786818,0.000062134626,0.00011711364],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019028362,0.00013725838,0.00011520927,0.000046529294,0.00048499322,0.0006275226,0.0007201799,0.000109380526,0.28108984],"category_scores_gemma":[0.00006161236,0.00006580953,0.00005176471,0.0002731157,0.00006503242,0.00003570295,0.0006317396,0.00020387623,0.12545493],"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":[0.0000026418375,0.000015599942,3.357806e-7,0.000030433577,0.0000128030915,0.0000083799505,0.0000396608,2.4434075e-7,0.0037580675,0.0003462369,0.9419185,0.05386713],"study_design_scores_gemma":[0.000031224903,0.00010243134,0.000058929545,0.00009447057,0.000010440177,0.000034142595,0.000049141443,0.000016922739,0.000037905233,0.000090839516,0.999317,0.00015658214],"about_ca_topic_score_codex":0.000045838387,"about_ca_topic_score_gemma":0.0000036784704,"teacher_disagreement_score":0.1556349,"about_ca_system_score_codex":0.000023338649,"about_ca_system_score_gemma":5.00514e-7,"threshold_uncertainty_score":0.875226},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025569831,0.003908646,0.000035039924,0.0018912037,0.0018523087,0.00063853874,0.0015921117,0.0008172078,0.986708],"genre_scores_gemma":[0.06265459,0.0032905354,0.00016559841,0.00036337032,0.0083859665,9.432465e-8,0.011730249,0.002161972,0.9112476],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971038,0.0002876204,0.00038045493,0.0009386089,0.0005761646,0.00071336824],"domain_scores_gemma":[0.99889714,0.000036250894,0.00019014477,0.00023719417,0.00026644848,0.00037281186],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007111856,0.00038742292,0.00033826864,0.00015522476,0.0017452356,0.0024326695,0.0015654835,0.00033561836,0.3886681],"category_scores_gemma":[0.0002202395,0.00022872895,0.00017544696,0.0007642954,0.00021140702,0.00008690994,0.0014525051,0.0006240851,0.44980747],"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":[0.000017272328,0.00007414491,0.0000025938016,0.00013742314,0.00011696942,0.000055912355,0.00031896087,0.00000390871,0.007830766,0.0013994224,0.92042637,0.06961626],"study_design_scores_gemma":[0.00013452185,0.0004067054,0.00029268392,0.0002783546,0.0000813819,0.00011868091,0.00023876164,0.00017569013,0.00006998691,0.00022898447,0.99753314,0.00044113415],"about_ca_topic_score_codex":0.00007082834,"about_ca_topic_score_gemma":0.000003330217,"teacher_disagreement_score":0.077106744,"about_ca_system_score_codex":0.00012264228,"about_ca_system_score_gemma":0.000003087132,"threshold_uncertainty_score":0.99955434},"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":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001823786,0.0023615032,0.000047430112,0.0033450741,0.0007283807,0.00035759743,0.00086713274,0.00040124907,0.99006784],"genre_scores_gemma":[0.030811138,0.0012219766,0.00009768731,0.00024416632,0.0021359639,2.8426987e-8,0.002612841,0.0008347965,0.9620414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801975,0.00021778813,0.0002605217,0.0006425954,0.0003586988,0.00050066225],"domain_scores_gemma":[0.99922323,0.000030344947,0.00010873207,0.00015690067,0.00022960173,0.00025119123],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00041539167,0.0002695924,0.00022780697,0.000088846355,0.0013544655,0.0016243831,0.0011032198,0.0002722514,0.7292953],"category_scores_gemma":[0.00018349744,0.00015587539,0.0001285365,0.0005965297,0.0001683671,0.00006310187,0.0010577027,0.00046219747,0.49470645],"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":[0.000009045816,0.00005991056,0.0000020841462,0.00011721293,0.00005079177,0.000027105823,0.00025373488,0.0000048992,0.005949446,0.0053036143,0.7370606,0.25116158],"study_design_scores_gemma":[0.000086224085,0.0003346085,0.00041057623,0.00025295073,0.000037411744,0.00012164996,0.00021434305,0.00014140901,0.000082157465,0.00058349204,0.9974246,0.00031059794],"about_ca_topic_score_codex":0.00009244059,"about_ca_topic_score_gemma":0.0000066523357,"teacher_disagreement_score":0.260364,"about_ca_system_score_codex":0.0000727322,"about_ca_system_score_gemma":0.0000014621777,"threshold_uncertainty_score":0.99994564},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9040035,0.0002653558,0.00018251625,0.01389456,0.00011833499,0.00038290553,0.0005459953,0.0009646238,0.07964222],"genre_scores_gemma":[0.9980274,0.00007451805,0.00006727572,0.00052353623,0.00034233753,7.390825e-9,0.0007678207,0.00004312663,0.00015399823],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908715,0.00008927989,0.00012451025,0.00026198511,0.0001997168,0.00023736428],"domain_scores_gemma":[0.99956244,0.000018927567,0.000044366374,0.00005133919,0.00012098488,0.00020194304],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015347706,0.00008492378,0.00008161437,0.000012634701,0.0010579526,0.00042660302,0.00059881946,0.000045414366,0.015649054],"category_scores_gemma":[0.00014203323,0.00004388126,0.00003748731,0.00032618913,0.000039655006,0.000061622406,0.00046685847,0.00013518186,0.005218715],"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":[0.000045583478,0.00004246486,0.000039624218,0.000014038741,0.000016587337,0.000012277223,0.0005187126,0.000027321974,0.47956374,0.00088996853,0.21087083,0.30795887],"study_design_scores_gemma":[0.000097269105,0.00023934178,0.005056796,0.0000060298203,0.0000044478643,0.00002634164,0.00016111342,0.00041520267,0.0015743751,0.000037497502,0.9922678,0.000113793765],"about_ca_topic_score_codex":0.00002520614,"about_ca_topic_score_gemma":8.6935495e-7,"teacher_disagreement_score":0.781397,"about_ca_system_score_codex":0.0000140080565,"about_ca_system_score_gemma":4.7104305e-7,"threshold_uncertainty_score":0.9955558},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9128829,0.00004168728,0.000025127098,0.0018515424,0.00011462475,0.00017728154,0.00028782856,0.0011120763,0.08350692],"genre_scores_gemma":[0.99649054,0.00008312299,0.000021908063,0.00007678099,0.00018552363,1.07579865e-8,0.001956146,0.000039697396,0.0011462991],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991374,0.000079561956,0.00010571376,0.00021992212,0.00018766202,0.00026976154],"domain_scores_gemma":[0.99964476,0.000029626652,0.000034520195,0.000063397914,0.00012298702,0.00010470528],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00035492363,0.00006959706,0.00006809168,0.000030759093,0.0014468296,0.00039918194,0.0005017545,0.000041376483,0.010998576],"category_scores_gemma":[0.00013558644,0.000034709512,0.000035309142,0.0005787871,0.000035812882,0.000059338832,0.0004423212,0.00009326221,0.01445525],"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":[0.00001847028,0.00003720239,0.000069905385,0.000010303,0.000013411075,0.000020107178,0.00025854196,0.000027351076,0.15488248,0.001165594,0.26407778,0.57941884],"study_design_scores_gemma":[0.00006388272,0.00012650032,0.022291083,0.0000067222577,0.0000029520352,0.000037136128,0.00019673008,0.0002555738,0.00048368514,0.00017313092,0.9762687,0.000093886854],"about_ca_topic_score_codex":0.00002483405,"about_ca_topic_score_gemma":0.0000017951564,"teacher_disagreement_score":0.7121909,"about_ca_system_score_codex":0.000016954575,"about_ca_system_score_gemma":2.8718978e-7,"threshold_uncertainty_score":0.99985313},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005264703,0.00015854603,4.7103157e-7,0.00028297948,0.00037601514,0.00014119643,0.99821717,0.00003857074,0.0002585606],"genre_scores_gemma":[0.00009104004,0.0006593876,0.00001494449,0.0002759711,0.0016891347,0.0000042660718,0.9971246,0.0000016392972,0.00013902593],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981424,0.00023269292,0.00028320574,0.00063383236,0.00031394078,0.00039390975],"domain_scores_gemma":[0.9989428,0.00017731152,0.00017075201,0.00047187382,0.00006935596,0.00016788728],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00080151786,0.00028657872,0.00030238274,0.000018264223,0.00018561115,0.00020809483,0.0017793999,0.0003991112,0.0014973232],"category_scores_gemma":[0.000089699664,0.00010365864,0.00005656662,0.0002372192,0.00008617482,0.0000901039,0.0006511513,0.00019374106,0.00010484792],"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":[0.0000043944538,0.000029101957,0.00020617081,0.000009172323,0.000027213362,0.000012210962,0.0000013027168,6.5921355e-8,0.00029628817,0.0000010271332,0.99773175,0.0016812931],"study_design_scores_gemma":[0.000044713426,0.00009985472,0.014163565,0.00003229847,0.000043983193,0.0000062178074,0.000005428865,0.000021136218,0.000030403351,0.000022976275,0.9852093,0.0003201642],"about_ca_topic_score_codex":0.34779692,"about_ca_topic_score_gemma":0.38385952,"teacher_disagreement_score":0.03606259,"about_ca_system_score_codex":0.000009970688,"about_ca_system_score_gemma":0.000021391797,"threshold_uncertainty_score":0.99941546},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054226767,0.000011796346,1.3690854e-8,0.0000670498,0.000008510426,0.00004670153,0.94535524,0.000010660872,0.00027325714],"genre_scores_gemma":[0.50004005,1.4653878e-7,0.00007873637,0.000033653196,0.000101337304,0.0000044068447,0.49973214,3.1438907e-7,0.0000092067185],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99957156,0.000008859132,0.000115747505,0.00010273918,0.00011951593,0.00008159449],"domain_scores_gemma":[0.9994593,0.00034039983,0.0000827088,0.00001599259,0.00005355006,0.0000480088],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000036233637,0.000056389006,0.00008925142,0.000004542468,0.00003456943,0.000007377883,0.00008904771,0.00005250491,0.9756513],"category_scores_gemma":[0.0004460045,0.000025973934,0.000042435408,0.000115093375,0.0000027773424,0.00003375819,0.00003775614,0.000047961166,0.000057582944],"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":[0.000003159462,0.0000040513464,0.00020362795,0.00003307604,0.0000026078496,8.286874e-7,0.0000071705285,0.000026112724,0.021520656,0.000003854923,0.97659755,0.00159733],"study_design_scores_gemma":[0.000038796745,0.00010191784,0.49065876,0.00067278824,0.0000031181435,0.0000034044008,0.000021044343,0.00054538285,0.0025179894,0.000045407323,0.5052791,0.00011226961],"about_ca_topic_score_codex":0.000029325209,"about_ca_topic_score_gemma":0.00006446847,"teacher_disagreement_score":0.97559375,"about_ca_system_score_codex":0.000002794591,"about_ca_system_score_gemma":0.0000033098631,"threshold_uncertainty_score":0.10591863},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054226767,0.000011796346,1.3690854e-8,0.0000670498,0.000008510426,0.00004670153,0.94535524,0.000010660872,0.00027325714],"genre_scores_gemma":[0.50004005,1.4653878e-7,0.00007873637,0.000033653196,0.000101337304,0.0000044068447,0.49973214,3.1438907e-7,0.0000092067185],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99957156,0.000008859132,0.000115747505,0.00010273918,0.00011951593,0.00008159449],"domain_scores_gemma":[0.9994593,0.00034039983,0.0000827088,0.00001599259,0.00005355006,0.0000480088],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000036233637,0.000056389006,0.00008925142,0.000004542468,0.00003456943,0.000007377883,0.00008904771,0.00005250491,0.9756513],"category_scores_gemma":[0.0004460045,0.000025973934,0.000042435408,0.000115093375,0.0000027773424,0.00003375819,0.00003775614,0.000047961166,0.000057582944],"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":[0.000003159462,0.0000040513464,0.00020362795,0.00003307604,0.0000026078496,8.286874e-7,0.0000071705285,0.000026112724,0.021520656,0.000003854923,0.97659755,0.00159733],"study_design_scores_gemma":[0.000038796745,0.00010191784,0.49065876,0.00067278824,0.0000031181435,0.0000034044008,0.000021044343,0.00054538285,0.0025179894,0.000045407323,0.5052791,0.00011226961],"about_ca_topic_score_codex":0.000029325209,"about_ca_topic_score_gemma":0.00006446847,"teacher_disagreement_score":0.97559375,"about_ca_system_score_codex":0.000002794591,"about_ca_system_score_gemma":0.0000033098631,"threshold_uncertainty_score":0.10591863},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89873314,0.00065721554,3.6292962e-9,0.000007582078,0.000024401717,0.00044335937,0.09939939,0.0000037749212,0.00073115964],"genre_scores_gemma":[0.9263471,0.000013501791,0.0000068212476,0.00004077334,0.000027284803,0.000032327516,0.07296157,0.0000033388167,0.0005672845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993627,0.00007623566,0.00013250629,0.00017476601,0.00009612864,0.00015768425],"domain_scores_gemma":[0.99960566,0.00017166641,0.000115564726,0.00002495766,0.000036925554,0.000045227007],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000049627168,0.00014683709,0.00021526293,0.000015150575,0.00004848299,0.000019618054,0.00009059508,0.00014001758,0.0044243624],"category_scores_gemma":[0.00006233181,0.00007702,0.000017704879,0.000062580264,0.000008976433,0.0000135875525,0.00007491423,0.00027031402,2.0270767e-7],"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":[0.00025962607,0.00043362722,0.87304056,0.0012605308,0.00005395806,0.000029567762,0.004228943,1.6624831e-7,0.00065985735,5.6063357e-7,0.091399066,0.028633554],"study_design_scores_gemma":[0.00066558557,0.00010277352,0.99373573,0.002254687,0.000004945157,0.0000031528762,0.0011638908,0.0000053611166,0.00002122672,0.0000013804024,0.0018822784,0.00015898338],"about_ca_topic_score_codex":0.93429714,"about_ca_topic_score_gemma":0.99877447,"teacher_disagreement_score":0.12069519,"about_ca_system_score_codex":0.00003334174,"about_ca_system_score_gemma":0.000035240064,"threshold_uncertainty_score":0.9964857},"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":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33937338,0.013474603,5.561999e-9,0.0010177491,0.00013718754,0.0014596434,0.64250135,0.00002903105,0.0020070581],"genre_scores_gemma":[0.9554005,0.0026544617,0.000025714022,0.00011552863,0.00044911038,0.00024829624,0.022255365,0.000028916354,0.018822065],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991735,0.000049102997,0.00016281984,0.00023719177,0.00017867387,0.00019867378],"domain_scores_gemma":[0.9993948,0.00013138783,0.0003104687,0.00006172593,0.00004722102,0.000054403194],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000023418119,0.00016546501,0.00017905337,0.0000053145586,0.0000922209,0.000041729556,0.00035821748,0.00009721549,0.0057651624],"category_scores_gemma":[0.00012305687,0.00005092157,0.00005187736,0.00014826804,0.000045333734,0.000012356753,0.00019808786,0.0001558502,0.000004783557],"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":[0.000020398078,0.000008476268,0.00176459,0.0001520822,0.000022825772,0.0000012764131,0.00016710217,2.7825757e-7,0.3485111,8.733179e-7,0.6464997,0.0028513137],"study_design_scores_gemma":[0.00021203171,0.0003486418,0.06280112,0.0025555973,0.000030793002,0.0000071445825,0.000248561,0.000023977851,0.40823042,0.000018537296,0.52517766,0.0003454895],"about_ca_topic_score_codex":0.0005221784,"about_ca_topic_score_gemma":0.0020686192,"teacher_disagreement_score":0.62024593,"about_ca_system_score_codex":0.0000081245,"about_ca_system_score_gemma":0.00003276112,"threshold_uncertainty_score":0.9951437},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.117193356,0.00018310879,0.0000023697798,0.0017589403,0.0006234702,0.00024933863,0.000025688269,0.000016395632,0.87994736],"genre_scores_gemma":[0.698305,0.00013865004,0.000053501415,0.00013894375,0.0005259004,0.000037479334,0.000010001682,3.348948e-7,0.3007902],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996971,0.000019258548,0.000049858074,0.000048994545,0.000043420103,0.00014138925],"domain_scores_gemma":[0.99976933,0.00012901767,0.000016566551,0.000021007401,0.000013894871,0.00005019925],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00012087582,0.000031318374,0.000031682903,9.4883967e-7,0.0030902664,0.000772216,0.00016911096,0.000018307554,0.00055773597],"category_scores_gemma":[0.000014628862,0.000008393197,0.000018016208,0.00026344458,0.000009621701,0.000055856268,0.000065403496,0.00003588286,0.00002599534],"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":[0.000006385884,0.000030909265,0.0086448975,1.8083057e-7,0.0000075170665,1.0652174e-7,0.000030038806,0.0000014705606,0.0036076882,0.0002365333,0.96069944,0.026734842],"study_design_scores_gemma":[0.000024884792,0.000023241335,0.017646763,0.0000010758109,0.0000029606276,0.000007731399,0.00019665841,0.000012315445,0.00014364618,0.0003433899,0.98155844,0.00003890652],"about_ca_topic_score_codex":0.008400031,"about_ca_topic_score_gemma":0.02228245,"teacher_disagreement_score":0.58111167,"about_ca_system_score_codex":0.0000053290896,"about_ca_system_score_gemma":0.000002906956,"threshold_uncertainty_score":0.99820757},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040245976,0.000014414195,2.8455478e-8,0.00022488611,0.00037154648,0.00009869547,0.9985064,0.00002239832,0.00035911961],"genre_scores_gemma":[0.000022476828,0.00033112444,0.000008538294,0.00089455605,0.0008276678,0.0000070520205,0.9973497,5.8396137e-7,0.0005583228],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989202,0.00004261044,0.00014970457,0.00032832898,0.00028660538,0.0002725334],"domain_scores_gemma":[0.9995472,0.00008786331,0.00009904015,0.00014648121,0.00001545318,0.0001039549],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015031557,0.00017432886,0.00016708409,0.000026191423,0.00023393468,0.00007850491,0.0007265773,0.00012173854,0.16570646],"category_scores_gemma":[0.00006796749,0.00006871417,0.000075880846,0.00027465334,0.00002493511,0.000037600952,0.00056231173,0.00027137442,0.00090741785],"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":[0.000005330542,0.000025338977,0.000007933371,0.000006794651,0.000010020032,0.00003013248,0.0000023005416,0.000001376142,0.0002985312,0.000037868966,0.995927,0.0036474154],"study_design_scores_gemma":[0.000042862637,0.00008186664,0.0002147855,0.000006294853,0.000019217905,0.000018481587,0.00003595821,0.0000013034744,0.000006100614,0.00010504,0.99926454,0.00020357911],"about_ca_topic_score_codex":0.007948907,"about_ca_topic_score_gemma":0.0019958657,"teacher_disagreement_score":0.16479903,"about_ca_system_score_codex":0.00003095601,"about_ca_system_score_gemma":0.000026140371,"threshold_uncertainty_score":0.9998705},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043952346,0.000035226414,0.0000021307399,0.0005086277,0.00024069904,0.00018474703,0.00001942875,0.000016238304,0.9550406],"genre_scores_gemma":[0.657532,0.00011760336,0.00019298929,0.0001374357,0.00015502621,0.000049400114,0.000007885387,4.3914642e-7,0.34180725],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997138,0.000018360579,0.00005675017,0.00007441838,0.00004030138,0.000096361866],"domain_scores_gemma":[0.9998285,0.00007535017,0.00001820005,0.000024078632,0.00002327056,0.000030600444],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011687937,0.000031625434,0.000031568456,0.0000013049753,0.003163817,0.0005430305,0.00026387552,0.000020741629,0.0013745511],"category_scores_gemma":[0.000011719727,0.000008652035,0.000020496716,0.0003178284,0.0000151209815,0.000027795399,0.00007525732,0.000040195413,0.000026031472],"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":[0.000033097283,0.00007192161,0.0013412834,3.770839e-7,0.000020094958,0.0000017826413,0.00013109646,0.0000013383757,0.008174569,0.0014492754,0.9364078,0.05236736],"study_design_scores_gemma":[0.000043432432,0.00011612636,0.021367416,0.0000025691406,0.0000048699144,0.000009269961,0.00037777922,0.000050247098,0.0009748267,0.005180519,0.97180146,0.00007150717],"about_ca_topic_score_codex":0.009413592,"about_ca_topic_score_gemma":0.025102088,"teacher_disagreement_score":0.61357963,"about_ca_system_score_codex":0.0000044322514,"about_ca_system_score_gemma":0.0000045204247,"threshold_uncertainty_score":0.9995383},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98966986,0.000061788836,4.727339e-7,0.004256026,0.00017798264,0.00015257442,0.0014160733,0.000007721877,0.004257492],"genre_scores_gemma":[0.9951241,0.000034491142,0.000029530984,0.0006174895,0.00008301745,1.9163618e-7,0.000098628865,0.0000010210392,0.004011503],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992399,0.000032805183,0.0000810982,0.0002341362,0.00017501666,0.00023699334],"domain_scores_gemma":[0.99937737,0.000077711564,0.0001218287,0.00015669277,0.000077661854,0.00018874639],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014514138,0.000041498686,0.00017580901,0.0000063132516,0.0012811066,0.00013323265,0.00068777753,0.00009411704,0.0012407035],"category_scores_gemma":[0.000022658756,0.000054297347,0.00009060741,0.0000700008,0.0002137599,0.00007156776,0.00030086588,0.00007805451,0.00004922355],"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":[0.000020896037,0.000026063211,0.34381363,0.000009276149,0.000039170132,0.00006314226,0.00022285781,0.0000047477597,0.02672079,9.3072566e-7,0.35979384,0.26928467],"study_design_scores_gemma":[0.00018161042,0.000041505627,0.9196092,0.000041548476,0.000016186454,0.000007655469,0.00014902497,0.000012129744,0.000019382796,0.000030514919,0.07977868,0.000112575886],"about_ca_topic_score_codex":0.9697673,"about_ca_topic_score_gemma":0.9991475,"teacher_disagreement_score":0.5757956,"about_ca_system_score_codex":0.00006675369,"about_ca_system_score_gemma":0.000015713931,"threshold_uncertainty_score":0.9996723},"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":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5143108,0.0000137408415,0.000007359804,0.0009657785,0.0003672263,0.0002770931,0.00018320326,0.000039384737,0.48383546],"genre_scores_gemma":[0.23214442,0.00007966647,0.00013884543,0.00008945593,0.00013500093,0.000031164112,0.000006454469,3.802846e-7,0.76737463],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999629,0.000016117001,0.00006935095,0.00012773964,0.000046285844,0.00011146885],"domain_scores_gemma":[0.9998015,0.00007736526,0.00002067643,0.000020306179,0.000031409858,0.000048754224],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006760073,0.000025995085,0.00005386072,0.0000010750036,0.0010720143,0.0020704705,0.0001808396,0.0000292564,0.031588525],"category_scores_gemma":[0.000022175289,0.0000124472435,0.000023626702,0.00028804946,0.000011742173,0.00006171884,0.00007341906,0.000021208145,0.000023404224],"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":[0.00000145428,0.000015492922,0.0037092539,1.5148261e-7,0.000003021335,0.0000013497183,0.0000010734865,3.37477e-8,0.011626136,0.0000015461692,0.8397032,0.14493729],"study_design_scores_gemma":[0.000093242874,0.000104220846,0.056718413,0.000020678104,0.0000032315054,0.000028786395,0.000026421822,0.00000293039,0.00008915278,0.0016133531,0.94121313,0.00008645581],"about_ca_topic_score_codex":0.3208244,"about_ca_topic_score_gemma":0.84562474,"teacher_disagreement_score":0.52480036,"about_ca_system_score_codex":0.000010890753,"about_ca_system_score_gemma":0.000005749518,"threshold_uncertainty_score":0.9989655},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7348569,0.000406941,0.000009319315,0.000023718127,0.0004951212,0.00025302536,0.000733405,0.0001537992,0.26306778],"genre_scores_gemma":[0.74749184,0.0005740857,0.00024482977,0.00001651272,0.0002379455,3.00055e-7,0.000048394195,0.000009867772,0.25137624],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991453,0.000027471217,0.000077479686,0.0003401905,0.00017898956,0.00023055854],"domain_scores_gemma":[0.9995544,0.000023668843,0.00021651167,0.000068259964,0.000034027107,0.00010311286],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006878979,0.000058292684,0.0002835174,0.000015020725,0.00011850377,0.00005781144,0.00037557687,0.00012388449,0.002957988],"category_scores_gemma":[0.0000056305025,0.00009975697,0.0001265001,0.00014696445,0.00011657448,0.000042096515,0.00015526578,0.00010947633,0.000038753828],"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":[0.0000019690738,0.000022980876,0.008782247,0.00002260231,0.00003649795,0.000048153615,0.00002365936,2.8820665e-7,0.00037959428,1.4239293e-7,0.4273536,0.56332827],"study_design_scores_gemma":[0.00009426624,0.00006946328,0.8367226,0.00028240247,0.00003805367,0.000008582622,0.00053996756,0.0000039225074,0.0000010763094,0.000022377393,0.16197373,0.00024353756],"about_ca_topic_score_codex":0.622057,"about_ca_topic_score_gemma":0.9331256,"teacher_disagreement_score":0.8279404,"about_ca_system_score_codex":0.000018558012,"about_ca_system_score_gemma":0.000009017961,"threshold_uncertainty_score":0.9979534},"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":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066682266,0.00021080619,0.0000027577448,0.00045294221,0.00047689574,0.0010138564,0.99695385,0.0000112045755,0.00021088918],"genre_scores_gemma":[0.00019813965,0.0019000077,0.00043631656,0.00022926976,0.0004783945,0.00019349506,0.9947428,9.840606e-7,0.0018205807],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846274,0.00008356643,0.000296821,0.00075044454,0.00015271244,0.00025373255],"domain_scores_gemma":[0.998406,0.0011266854,0.00012386622,0.00019330956,0.00004011907,0.000110003224],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019324207,0.00018532807,0.00030187142,0.0000112915395,0.0009199187,0.00090120255,0.002482476,0.00022953938,0.0036297864],"category_scores_gemma":[0.0005097589,0.000084923384,0.0000515082,0.00069792516,0.000025754747,0.00010464524,0.0015261909,0.00023579883,0.000107862055],"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":[0.000040592982,0.00006723481,0.00013999909,0.000006748504,0.0000129148375,0.000010485039,0.0000016557927,0.000020046145,0.00028150625,1.579127e-7,0.9988888,0.0005298472],"study_design_scores_gemma":[0.00009313424,0.00028658067,0.009425728,0.000090530215,0.000050856248,0.0000029116732,0.000019403335,0.00053093355,0.0000070382994,0.00018904006,0.9890703,0.00023354997],"about_ca_topic_score_codex":0.032898705,"about_ca_topic_score_gemma":0.15839815,"teacher_disagreement_score":0.12549944,"about_ca_system_score_codex":0.000037359336,"about_ca_system_score_gemma":0.000054239154,"threshold_uncertainty_score":0.997281},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975793,0.00007392117,1.8858263e-7,0.00020956596,0.000092515846,0.00019842102,0.0008059402,0.0000034345205,0.022823025],"genre_scores_gemma":[0.98988444,0.000048836453,0.000002074482,0.000014119883,0.000020521842,0.000010229787,0.000012132607,6.0074257e-7,0.010007019],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99952924,0.000027242973,0.00014630111,0.00008325118,0.000095689575,0.000118283606],"domain_scores_gemma":[0.99947226,0.00040004565,0.000040904786,0.000029774967,0.000034923356,0.000022108634],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00023321169,0.00003988877,0.00008000944,0.0000032081982,0.0006758067,0.0012818384,0.0002253971,0.00002084826,0.00018761113],"category_scores_gemma":[0.000025617137,0.000016404812,0.00004235928,0.00050462387,0.000031621417,0.000027997792,0.00007321236,0.0000826284,2.529834e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108453954,0.00014556668,0.27673024,0.000044824767,0.00022897059,0.00004306898,0.001069966,0.0014191463,0.02903018,0.00015013077,0.67772615,0.013303295],"study_design_scores_gemma":[0.00022044922,0.0005942989,0.9714271,0.0003840136,0.000015962327,0.000052270872,0.005073524,0.0013537452,0.00026282194,0.001275032,0.019138742,0.00020203437],"about_ca_topic_score_codex":0.9926477,"about_ca_topic_score_gemma":0.99952483,"teacher_disagreement_score":0.69469684,"about_ca_system_score_codex":0.000031880114,"about_ca_system_score_gemma":0.0001342789,"threshold_uncertainty_score":0.9997549},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036486364,0.000022310827,1.17203214e-7,0.00025888745,0.00041280713,0.00016156309,0.9952591,0.0000390966,0.00019745549],"genre_scores_gemma":[0.000058120335,0.00010418598,3.6286332e-7,0.00043231863,0.000002503567,0.0000013548977,0.9994009,2.577304e-10,2.3660122e-7],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991057,0.000030505995,0.00022619097,0.00016437391,0.00026187242,0.00021135],"domain_scores_gemma":[0.99951,0.00003400824,0.0001441745,0.00008530568,0.00013492708,0.000091623704],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014427885,0.00017718978,0.0001714784,0.000013357963,0.00027516257,0.00014695014,0.00044579137,0.00027119878,0.0015384689],"category_scores_gemma":[0.00006069056,0.0000818209,0.00010718976,0.00028242983,0.000045275498,0.00021231108,0.00025551624,0.00016040527,0.011745874],"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":[0.000014203583,0.000013536058,0.001133019,0.00003710999,0.000009850675,5.987203e-7,0.0000037895736,0.0000015973544,0.0000012218152,4.6656904e-8,0.9898868,0.008898183],"study_design_scores_gemma":[0.00005956943,0.000031260857,0.0005643176,0.0000031053144,0.000022752009,0.0000015361783,0.000052690175,8.245663e-8,0.000004124491,7.025198e-7,0.9990885,0.00017134649],"about_ca_topic_score_codex":0.0010135727,"about_ca_topic_score_gemma":0.000112160655,"teacher_disagreement_score":0.010207405,"about_ca_system_score_codex":0.0000668762,"about_ca_system_score_gemma":0.000025720325,"threshold_uncertainty_score":0.9993743},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992323,0.0000056564877,0.00009903168,0.000021838337,0.00003311957,0.0001981315,0.00013209417,0.000009759229,0.00026810516],"genre_scores_gemma":[0.99988675,3.0760327e-7,0.00002603236,0.0000075665753,0.000005806183,0.00001094303,0.0000542987,2.1700545e-7,0.000008066389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929005,0.000020346011,0.0004098483,0.000062843545,0.00013064606,0.00008626228],"domain_scores_gemma":[0.9996154,0.000026724769,0.00020927809,0.00003468363,0.00008343285,0.000030522864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015722662,0.00006387747,0.00017429178,0.00009169465,0.000035612426,0.00004178339,0.000068751826,0.000048595146,0.00002885863],"category_scores_gemma":[0.000011897164,0.000026565021,0.000041056024,0.0003858591,0.000018077086,0.000118832504,0.000033269247,0.000030993633,0.000009979632],"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":[0.0000056404524,0.0000025607435,0.9908238,0.000041549734,0.000031577707,1.0424802e-7,0.0073751975,0.00025843826,0.00078315655,0.000037011738,0.0000049225278,0.0006360422],"study_design_scores_gemma":[0.00006868544,0.000039034683,0.9804414,0.000079388745,0.00002995995,0.0000017078971,0.00539525,0.01344122,0.00044356886,5.9473086e-7,0.000007786286,0.000051383144],"about_ca_topic_score_codex":0.00029098202,"about_ca_topic_score_gemma":0.000011677498,"teacher_disagreement_score":0.013182782,"about_ca_system_score_codex":0.000008729097,"about_ca_system_score_gemma":0.0000016216225,"threshold_uncertainty_score":0.10832901},"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":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054466013,0.0000117466725,1.3594439e-8,0.000067160894,0.000008590107,0.000046644378,0.94511527,0.000010642237,0.00027393777],"genre_scores_gemma":[0.49881348,1.4688395e-7,0.000078830584,0.000033693155,0.00010267862,0.000004416865,0.50095683,3.152132e-7,0.0000095832365],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995716,0.000008860372,0.00011570303,0.000102728096,0.00011952393,0.00008158452],"domain_scores_gemma":[0.99945897,0.00033969796,0.00008269379,0.000015983525,0.000054637614,0.0000480061],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000036202457,0.000056384797,0.00008922882,0.0000045402026,0.00003455099,0.0000073736746,0.0000889775,0.000052500152,0.9760777],"category_scores_gemma":[0.00045278686,0.000025968642,0.000042431886,0.00011510915,0.0000027768074,0.000033752898,0.000037740705,0.000047962763,0.000058870904],"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":[0.0000031150742,0.000004036821,0.00020252235,0.00003325464,0.0000025998554,8.2309236e-7,0.000007140952,0.000026428273,0.021807209,0.000003698491,0.9763154,0.0015937925],"study_design_scores_gemma":[0.0000383762,0.000098581724,0.48140508,0.00066097674,0.0000030466479,0.000003316259,0.000020660465,0.00053518877,0.0025358987,0.000044242483,0.51454407,0.00011055519],"about_ca_topic_score_codex":0.000029607017,"about_ca_topic_score_gemma":0.000064186046,"teacher_disagreement_score":0.9760188,"about_ca_system_score_codex":0.0000028061695,"about_ca_system_score_gemma":0.0000033232188,"threshold_uncertainty_score":0.10589705},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05634625,0.0024325158,3.858758e-9,0.00059210527,0.00007476198,0.00025393654,0.9402931,0.0000053419817,0.000002006886],"genre_scores_gemma":[0.0038369654,0.00047996506,0.00000417932,0.00018951656,0.000050542312,0.000011164833,0.99541694,5.895251e-7,0.000010152749],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992597,0.00001722961,0.00013612148,0.00036027067,0.00010944034,0.00011725018],"domain_scores_gemma":[0.99951446,0.00020210557,0.00011586725,0.00007675246,0.00004504668,0.000045756264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007461352,0.00014122561,0.00018666564,0.00002498727,0.000032529955,0.00007939438,0.0002653138,0.00018435963,0.00072207],"category_scores_gemma":[0.00015891969,0.00006447121,0.000022309496,0.00009234592,0.000008481296,0.000042203923,0.0004231047,0.00016914301,0.0000081138605],"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":[0.000008943517,0.000010320738,0.009934617,0.00035937582,0.000011549963,0.000016142601,0.0000034902957,4.9418423e-7,0.000060610662,5.835336e-8,0.9890537,0.00054064946],"study_design_scores_gemma":[0.00007399125,0.000058948983,0.12884052,0.0016080688,0.000031957727,0.0000049031196,0.000020177678,0.00009610081,0.000012343154,0.000007950855,0.86910385,0.00014121397],"about_ca_topic_score_codex":0.0001745027,"about_ca_topic_score_gemma":0.09500668,"teacher_disagreement_score":0.11994992,"about_ca_system_score_codex":0.0000062090685,"about_ca_system_score_gemma":0.00000928759,"threshold_uncertainty_score":0.92150706},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8327599,0.00001415326,0.00005310943,0.00013026061,0.00026855333,0.00014699256,0.00069480395,0.00013452311,0.1657977],"genre_scores_gemma":[0.9288046,0.000082772654,0.000065952474,0.000057250312,0.00015475356,5.3448144e-8,0.00013228504,0.0000033844515,0.070698954],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820966,0.00006455126,0.00017646662,0.00056073174,0.0004940073,0.00049460994],"domain_scores_gemma":[0.99874943,0.00016641017,0.00017764769,0.00010088757,0.00047003664,0.00033561076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007336585,0.0002831857,0.00022684716,0.00015741907,0.0009514044,0.00024139456,0.0006110338,0.000111685324,0.00018848013],"category_scores_gemma":[0.00001794218,0.00019108607,0.00016970446,0.00066876796,0.00036499609,0.00085866614,0.00029301926,0.00019304507,0.00019548721],"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":[0.0058204215,0.001857717,0.46384183,0.00013895662,0.0015898965,0.0079866415,0.00462482,0.0007796685,0.30962956,0.014277035,0.04831285,0.1411406],"study_design_scores_gemma":[0.00074674585,0.0006491501,0.10830936,0.000055237007,0.000049641025,0.000076341246,0.0022021125,0.00026489203,0.001878566,0.0003814644,0.88457197,0.0008145074],"about_ca_topic_score_codex":0.0005498337,"about_ca_topic_score_gemma":0.0008188928,"teacher_disagreement_score":0.8362591,"about_ca_system_score_codex":0.00015758016,"about_ca_system_score_gemma":0.00007016535,"threshold_uncertainty_score":0.77922636},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964323,0.00021288607,0.0000080687705,0.00011045361,0.00012903681,0.00011547052,0.000012391851,0.000009323905,0.0029700596],"genre_scores_gemma":[0.9993008,0.000115573836,0.000026658337,0.000001696058,0.00002541672,1.1777233e-7,0.0000085109,3.9781168e-7,0.00052085693],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995875,0.000022546908,0.000080886944,0.00014428915,0.00008408011,0.00008073738],"domain_scores_gemma":[0.9998201,0.00007259757,0.00003541615,0.00003242605,0.000013324363,0.000026094816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108817265,0.00005188894,0.00009822163,0.00003420811,0.00003801679,0.0000062465906,0.00012292634,0.0000397294,0.0005612576],"category_scores_gemma":[0.0000052211385,0.000029553361,0.000040291,0.00016343208,0.000016340213,0.000057047524,0.000078030724,0.00007122547,0.000036529083],"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":[0.0002545266,0.00186677,0.07559823,0.00015716146,0.00014587105,0.00018953165,0.02343483,0.0002235927,0.49845904,0.0005685559,0.0033582326,0.39574367],"study_design_scores_gemma":[0.00070448726,0.0032125376,0.8013476,0.00046215073,0.0001285885,0.0000120069935,0.0813386,0.003354589,0.0037798474,0.00045310016,0.10471033,0.00049613],"about_ca_topic_score_codex":0.0005796605,"about_ca_topic_score_gemma":0.006109665,"teacher_disagreement_score":0.7257494,"about_ca_system_score_codex":0.000021244758,"about_ca_system_score_gemma":0.000003066641,"threshold_uncertainty_score":0.61453766},"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":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036486364,0.000022310827,1.17203214e-7,0.00025888745,0.00041280713,0.00016156309,0.9952591,0.0000390966,0.00019745549],"genre_scores_gemma":[0.000058120335,0.00010418598,3.6286332e-7,0.00043231863,0.000002503567,0.0000013548977,0.9994009,2.577304e-10,2.3660122e-7],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991057,0.000030505995,0.00022619097,0.00016437391,0.00026187242,0.00021135],"domain_scores_gemma":[0.99951,0.00003400824,0.0001441745,0.00008530568,0.00013492708,0.000091623704],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014427885,0.00017718978,0.0001714784,0.000013357963,0.00027516257,0.00014695014,0.00044579137,0.00027119878,0.0015384689],"category_scores_gemma":[0.00006069056,0.0000818209,0.00010718976,0.00028242983,0.000045275498,0.00021231108,0.00025551624,0.00016040527,0.011745874],"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":[0.000014203583,0.000013536058,0.001133019,0.00003710999,0.000009850675,5.987203e-7,0.0000037895736,0.0000015973544,0.0000012218152,4.6656904e-8,0.9898868,0.008898183],"study_design_scores_gemma":[0.00005956943,0.000031260857,0.0005643176,0.0000031053144,0.000022752009,0.0000015361783,0.000052690175,8.245663e-8,0.000004124491,7.025198e-7,0.9990885,0.00017134649],"about_ca_topic_score_codex":0.0010135727,"about_ca_topic_score_gemma":0.000112160655,"teacher_disagreement_score":0.010207405,"about_ca_system_score_codex":0.0000668762,"about_ca_system_score_gemma":0.000025720325,"threshold_uncertainty_score":0.9993743},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901166,0.000032130196,0.000078603,0.0020521355,0.00005085756,0.000035712368,0.000058480473,0.000010266434,0.0075652185],"genre_scores_gemma":[0.999188,0.000027021695,0.00004739102,0.000045785233,0.000042185733,0.0000011591177,0.0000071619697,1.3873603e-7,0.0006411336],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99960935,0.000015243196,0.000111800655,0.0000719915,0.000082806575,0.000108811895],"domain_scores_gemma":[0.99972385,0.00018948149,0.000022034992,0.0000129844275,0.000027619595,0.000024036757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010959305,0.000036582413,0.00007264012,0.0000060403077,0.000026243037,0.000008042686,0.00006657268,0.000044070282,0.00065352453],"category_scores_gemma":[0.000021074035,0.00000960866,0.000024621737,0.00009263431,0.000024265124,0.000030709056,0.000020189646,0.000020098454,0.00001875934],"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":[0.0000059971894,0.00007524287,0.2704584,0.000002680022,0.000006313484,0.0000014049484,0.000040810944,0.0000025454935,0.64973605,0.01430559,0.0025739004,0.06279109],"study_design_scores_gemma":[0.00008956554,0.00008438694,0.9745261,0.000013800805,0.0000023080124,9.812338e-7,0.0001730283,0.000019173533,0.019113516,0.0037075293,0.0022004766,0.00006911171],"about_ca_topic_score_codex":0.00077429827,"about_ca_topic_score_gemma":0.002732066,"teacher_disagreement_score":0.7040677,"about_ca_system_score_codex":0.000008936726,"about_ca_system_score_gemma":0.0000024151732,"threshold_uncertainty_score":0.71556354},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984208,0.0005003518,0.000042248128,0.00019665902,0.00013052499,0.00028717268,0.00010676789,0.000016349442,0.00029912844],"genre_scores_gemma":[0.9992719,0.00005911715,0.00044340006,0.000097394885,0.000051584826,0.0000052828295,0.000030913357,0.000001005776,0.000039358387],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987237,0.00009341866,0.0003121003,0.00030744134,0.0003015047,0.00026182507],"domain_scores_gemma":[0.99958074,0.00009239342,0.000106570034,0.00006703085,0.00009441694,0.00005882164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004738255,0.00014423578,0.00021957532,0.00006930493,0.0002305114,0.000028181652,0.0003555538,0.00010988995,0.000079908394],"category_scores_gemma":[0.00004194524,0.0000735996,0.00007889115,0.0003928738,0.000038515373,0.00015098877,0.00030373014,0.000106934625,0.000003619253],"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":[0.000044155706,0.00017642464,0.13260457,0.000023228711,0.000032636748,0.0000021175122,0.0002768858,0.09829376,0.7294091,0.00046612087,0.00024244924,0.03842854],"study_design_scores_gemma":[0.00037098493,0.00003491492,0.6969956,0.00008484933,0.00007695109,0.0000011021311,0.00014823639,0.2949444,0.0025434208,0.004579314,0.000047585432,0.00017262195],"about_ca_topic_score_codex":0.0010410164,"about_ca_topic_score_gemma":0.0014630277,"teacher_disagreement_score":0.7268657,"about_ca_system_score_codex":0.00008848951,"about_ca_system_score_gemma":0.00006029797,"threshold_uncertainty_score":0.30013046},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93346876,0.06440006,0.0009119312,0.00044798612,0.0001178915,0.00045877605,0.00008472227,0.000026947453,0.000082941755],"genre_scores_gemma":[0.989912,0.007865908,0.0018213788,0.000025537314,0.00023282049,0.00001627462,0.00008835725,0.0000033511935,0.000034403696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981862,0.00019351524,0.0004633837,0.00057544763,0.00015014532,0.00043131088],"domain_scores_gemma":[0.999404,0.00018933506,0.00011277342,0.00009979736,0.00006893527,0.00012515749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045936968,0.00024713582,0.0003069752,0.00005638352,0.00031279025,0.00012786784,0.00016254261,0.00020089097,0.000009376904],"category_scores_gemma":[0.000013108311,0.00014406921,0.000040760704,0.00036854227,0.00011090853,0.000075143376,0.00023411743,0.00022005856,5.7634446e-7],"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":[0.000015367186,0.000007489815,0.52715427,0.000028530254,0.000011519156,0.000001035226,0.00012609371,0.0047597135,0.005821854,0.00005924936,0.0000042821175,0.46201062],"study_design_scores_gemma":[0.0001788539,0.000122342,0.92117035,0.000030389552,0.000042889187,0.00001107986,0.0001655945,0.07392031,0.00024141303,0.003476757,0.00038183984,0.00025816276],"about_ca_topic_score_codex":0.00011561193,"about_ca_topic_score_gemma":0.0028631976,"teacher_disagreement_score":0.46175244,"about_ca_system_score_codex":0.000035830493,"about_ca_system_score_gemma":0.000020465875,"threshold_uncertainty_score":0.5874972},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9455362,0.0069063976,0.0011023293,0.032788955,0.003496903,0.0052646557,0.0011978135,0.000021639959,0.003685128],"genre_scores_gemma":[0.99535465,0.0008462934,0.00019533695,0.000056637928,0.002045512,0.0001677816,0.000057132842,0.0000042952743,0.0012723343],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950919,0.0005728773,0.00086661236,0.0005085904,0.0017391253,0.0012208637],"domain_scores_gemma":[0.9936547,0.0021327522,0.0003021459,0.00007314133,0.0035782398,0.0002589661],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.014467168,0.00027373427,0.000535426,0.00016563223,0.0026912352,0.00030548882,0.0006879,0.00047804412,0.00036203087],"category_scores_gemma":[0.0031896334,0.00014201745,0.0006142922,0.0007931435,0.00039152318,0.000120167286,0.000227632,0.0007562744,0.0000041372605],"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":[0.00085755956,0.00052455283,0.00057055877,0.00025394565,0.00025917013,0.000005569921,0.0004420138,0.000072084775,0.66879255,0.0046459483,0.053253625,0.27032244],"study_design_scores_gemma":[0.013318805,0.04071067,0.05015619,0.003297009,0.002429896,0.00015669875,0.09066675,0.037499994,0.16912168,0.45906016,0.13061729,0.0029648503],"about_ca_topic_score_codex":0.00020147176,"about_ca_topic_score_gemma":0.00027879947,"teacher_disagreement_score":0.49967086,"about_ca_system_score_codex":0.0003586835,"about_ca_system_score_gemma":0.00044739322,"threshold_uncertainty_score":0.9986071},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885415,0.00046710228,0.000114732924,0.0005171692,0.0011749113,0.00036268332,0.0031834017,0.000049459566,0.005589027],"genre_scores_gemma":[0.99880236,0.00008897501,0.000079342455,0.000006058549,0.0001833603,3.741126e-8,0.000066654924,0.0000074424615,0.0007657383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99732107,0.00010073101,0.00043847295,0.00070642476,0.00080138375,0.00063190906],"domain_scores_gemma":[0.9983019,0.0004081183,0.00050954736,0.00029939425,0.0002456667,0.0002353286],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041582336,0.0004333542,0.00079491676,0.00028888747,0.00067095255,0.00012405025,0.0018402431,0.00032970888,0.00021185509],"category_scores_gemma":[0.000059118076,0.00033179406,0.0007894655,0.0019660883,0.0010511604,0.00077825016,0.0013717237,0.000683452,0.000035369772],"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":[0.00088521617,0.00026079774,0.9040002,0.0009973256,0.0006152896,0.00029105457,0.06254264,0.0010522105,0.010071832,0.0036654205,0.00065561605,0.014962371],"study_design_scores_gemma":[0.0015270049,0.0008229953,0.6239041,0.002913941,0.00054291956,0.000024970182,0.3559409,0.0047581503,0.00053343695,0.00060726295,0.0072195022,0.0012047768],"about_ca_topic_score_codex":0.0034408597,"about_ca_topic_score_gemma":0.0029577636,"teacher_disagreement_score":0.2933983,"about_ca_system_score_codex":0.00013548836,"about_ca_system_score_gemma":0.00012732738,"threshold_uncertainty_score":0.9999134},"labels":[],"label_agreement":null}]}