{"meta":{"query_hash":"c8d7c7495d48","filters":{"venue":"Plant Methods"},"cohort_total":78,"direct_labels_cover":0,"predictions_cover":78,"exported":78,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/c8d7c7495d48","api":"https://metacan.xera.ac/api/v1/cohort?venue=Plant+Methods"},"results":[{"id":"W1526710193","doi":"10.1186/s13007-015-0079-1","title":"Biases underlying species detection using fluorescent amplified-fragment length polymorphisms yielded from roots","year":2015,"lang":"en","type":"article","venue":"Plant Methods","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Biology; Amplicon; Intergenic region; Chloroplast DNA; DNA extraction; DNA; Restriction fragment length polymorphism; Genetics; Polymerase chain reaction; Gene; Phylogenetics; Genome","score_opus":0.27790822601885484,"score_gpt":0.34305866499789867,"score_spread":0.06515043897904382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526710193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907152,0.00040856958,0.007300825,0.00028591824,0.0006586945,0.00015206143,0.00016226462,0.0000796503,0.00023679432],"genre_scores_gemma":[0.9586131,0.000037504204,0.04054174,0.000101474216,0.00048205882,0.000008980571,0.00013722277,0.0000015107753,0.00007643664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987771,0.00026629944,0.00021958556,0.00028267072,0.00021617803,0.00023819058],"domain_scores_gemma":[0.99903613,0.00060166704,0.00009231078,0.000069800844,0.0000410782,0.00015900664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035238755,0.00014529294,0.00017898575,0.000017426486,0.00021902275,0.000080225895,0.00014381732,0.00008917147,0.0002242988],"category_scores_gemma":[0.00020013943,0.00006219003,0.000072418516,0.00020393389,0.000026828013,0.00007017464,0.00007651626,0.00009560914,0.000014419682],"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":[0.000026409265,0.0000549094,0.0017851548,0.0000011453088,0.000021439217,0.0000040424015,0.00015264457,0.00014393733,0.9151315,0.00006490055,0.000046059067,0.08256786],"study_design_scores_gemma":[0.0005795235,0.0004295092,0.32874137,0.00012488899,0.0001445018,0.000065633176,0.0019022096,0.022123395,0.6150153,0.0061217826,0.024003461,0.00074838643],"about_ca_topic_score_codex":0.0034792083,"about_ca_topic_score_gemma":0.0016671167,"teacher_disagreement_score":0.32695624,"about_ca_system_score_codex":0.00006962934,"about_ca_system_score_gemma":0.000015618132,"threshold_uncertainty_score":0.52595454},"labels":[],"label_agreement":null},{"id":"W2004016699","doi":"10.1186/1746-4811-4-20","title":"Protocol: A high-throughput DNA extraction system suitable for conifers","year":2008,"lang":"en","type":"article","venue":"Plant Methods","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service","keywords":"DNA extraction; Throughput; Protocol (science); Bottleneck; DNA; Extraction (chemistry); Biology; Chromatography; Computational biology; Computer science; Chemistry; Polymerase chain reaction; Embedded system; Genetics; Medicine; Gene","score_opus":0.05585997080106111,"score_gpt":0.36076422726127755,"score_spread":0.30490425646021646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004016699","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":[0.28956228,0.00008322434,0.6710086,0.000107895874,0.0012929575,0.033858933,0.0005390905,0.000103271486,0.0034437599],"genre_scores_gemma":[0.37160444,0.000014191575,0.61166996,0.00020497538,0.00065186433,0.011207882,0.00086351373,0.000034553585,0.0037486507],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918115,0.00014113335,0.00015498555,0.00025330667,0.0000865899,0.00018284278],"domain_scores_gemma":[0.99955493,0.00003940027,0.00009426658,0.00018789474,0.00006437498,0.00005913972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031875903,0.00011428116,0.00014173776,0.000028284723,0.00018985849,0.00001340824,0.00009982483,0.00017710606,0.00002333096],"category_scores_gemma":[0.000059209753,0.00010640993,0.00006948664,0.00004771132,0.000031549884,0.00000443604,0.000034969864,0.00005599275,0.00000552956],"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":[0.0011104309,0.00007907158,0.004834144,0.0004778659,0.00020184612,0.000017937044,0.0002904192,0.0008072753,0.95577896,0.002895442,0.027153034,0.0063535715],"study_design_scores_gemma":[0.0011515393,0.0002002361,0.004262424,0.000013980566,0.000031710646,0.00024335262,0.0001418073,0.0002281413,0.4154254,0.0000861913,0.57799876,0.0002164993],"about_ca_topic_score_codex":0.00003777537,"about_ca_topic_score_gemma":0.0000054117722,"teacher_disagreement_score":0.5508457,"about_ca_system_score_codex":0.000015110432,"about_ca_system_score_gemma":0.000051347663,"threshold_uncertainty_score":0.4339271},"labels":[],"label_agreement":null},{"id":"W2023030090","doi":"10.1186/1746-4811-4-21","title":"Visualizing the actin cytoskeleton in living plant cells using a photo-convertible mEos::FABD-mTn fluorescent fusion protein","year":2008,"lang":"en","type":"article","venue":"Plant Methods","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"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; Universität Ulm; Universities Space Research Association","keywords":"Cell biology; Cytoskeleton; Biology; Actin cytoskeleton; Fluorescence; Live cell imaging; Fluorescence microscope; Actin; Organelle; Biophysics; Plant cell; Cell; Biochemistry; Optics","score_opus":0.04398339404792525,"score_gpt":0.3286931338522247,"score_spread":0.2847097398042995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023030090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619821,0.0004849275,0.03617887,0.000049069942,0.00043294847,0.00048504496,0.000036175956,0.000018650622,0.0003322242],"genre_scores_gemma":[0.95928186,0.0005767169,0.03913106,0.00021769748,0.00024657187,0.000055679386,0.00009653029,0.00004785618,0.00034602487],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981976,0.00052753143,0.000334118,0.00040127098,0.00016607804,0.00037335785],"domain_scores_gemma":[0.99927926,0.00010473571,0.00014611764,0.00035444257,0.000036057056,0.000079387064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009616351,0.00021364624,0.00021569263,0.000099650024,0.00026436223,0.00003346476,0.00022667914,0.00016045583,0.00007930866],"category_scores_gemma":[0.0001679669,0.00016835448,0.0001226049,0.00015806603,0.00003236265,0.000009630216,0.000211589,0.00027555935,0.0000075335215],"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":[0.00008165316,0.00009704062,0.00009878914,0.000022648495,0.000025564474,0.000024445062,0.0002857657,0.000051630916,0.9979333,0.000049040125,0.00023925217,0.0010908474],"study_design_scores_gemma":[0.00020608597,0.00010091494,0.00009370643,0.00014291446,0.000015098901,0.00017924728,0.0001922994,0.021052085,0.9501817,0.000012509188,0.027604954,0.00021847442],"about_ca_topic_score_codex":0.0005583533,"about_ca_topic_score_gemma":0.00009697789,"teacher_disagreement_score":0.047751613,"about_ca_system_score_codex":0.00004277079,"about_ca_system_score_gemma":0.00009752448,"threshold_uncertainty_score":0.68652964},"labels":[],"label_agreement":null},{"id":"W2061011679","doi":"10.1186/1746-4811-4-5","title":"Optimized cDNA libraries for virus-induced gene silencing (VIGS) using tobacco rattle virus","year":2008,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":149,"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":"Yale University","keywords":"Nicotiana benthamiana; Tobacco rattle virus; Complementary DNA; Biology; Gene silencing; Phytoene desaturase; cDNA library; Rapid amplification of cDNA ends; Gene; Genetics; Molecular cloning","score_opus":0.23368018232570184,"score_gpt":0.3680978763606056,"score_spread":0.13441769403490375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061011679","genre_codex":"empirical","genre_gemma":"methods","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":[0.99341726,0.0008710901,0.0026078804,0.0001538429,0.0003257331,0.0005035042,0.0017057236,0.00015297873,0.0002619651],"genre_scores_gemma":[0.103964545,0.002421594,0.8897907,0.0006955152,0.0015669715,0.0002474211,0.0007559575,0.000012623653,0.0005446372],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99777335,0.00046080895,0.00034030003,0.00046322297,0.00030169863,0.0006606102],"domain_scores_gemma":[0.996402,0.0031270192,0.00012952858,0.000096668395,0.00007570288,0.00016905843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009716424,0.00026403563,0.0004958511,0.000038273178,0.00095392903,0.000097795055,0.00039794287,0.00013940675,0.00016720007],"category_scores_gemma":[0.0008050352,0.00010920356,0.00017291532,0.00034757826,0.000107294,0.0003121583,0.0002346505,0.00019324965,0.000017084913],"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":[0.00023100698,0.000048119466,0.0000739808,0.00000752303,0.00005026087,0.000026638394,0.00032424185,0.000049659295,0.98685396,0.00003027533,0.0014459057,0.010858443],"study_design_scores_gemma":[0.00032851647,0.00015785245,0.0012230595,0.000025402038,0.000024203127,0.00007432776,0.0002518667,0.0026211878,0.9871191,0.00019514594,0.0076382407,0.00034111078],"about_ca_topic_score_codex":0.00055701286,"about_ca_topic_score_gemma":0.00009028052,"teacher_disagreement_score":0.88945276,"about_ca_system_score_codex":0.000046541296,"about_ca_system_score_gemma":0.00004591462,"threshold_uncertainty_score":0.73369473},"labels":[],"label_agreement":null},{"id":"W2096364716","doi":"10.1186/s13007-015-0062-x","title":"Ion Torrent sequencing as a tool for mutation discovery in the flax (Linum usitatissimum L.) genome","year":2015,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":25,"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, Okanagan Campus; University of British Columbia; The King's University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; Genome Canada","keywords":"Linum; Ion semiconductor sequencing; Genome; Biology; Mutation; DNA sequencing; Genetics; Computational biology; Botany; Gene","score_opus":0.12679487011600626,"score_gpt":0.3564183592380024,"score_spread":0.22962348912199615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096364716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98733085,0.00035577617,0.010276878,0.000700786,0.0002500223,0.00038145852,0.00018051865,0.000018944542,0.0005047828],"genre_scores_gemma":[0.97488993,0.00005443153,0.023208298,0.0005570008,0.0003086495,0.00014407832,0.0004571128,0.0000010437882,0.00037943877],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990322,0.00029357133,0.00018268544,0.00016889606,0.0001514062,0.00017123662],"domain_scores_gemma":[0.9986506,0.001177565,0.000069428206,0.000030674255,0.00003975936,0.000031988588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013624752,0.00009025235,0.0001312511,0.000012338069,0.000102188256,0.00006453527,0.00011980428,0.00003997667,0.000008106505],"category_scores_gemma":[0.00032640487,0.000029732784,0.00004076996,0.00013648348,0.000018246337,0.00010271311,0.000025042831,0.000053422867,0.000008244736],"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":[0.00033133558,0.00010064286,0.0020570352,0.000034544606,0.000053772692,0.000047312584,0.013609748,0.0009519556,0.8083547,0.002783406,0.003074748,0.16860084],"study_design_scores_gemma":[0.0034974914,0.003395561,0.3681851,0.00024292468,0.0003213036,0.00080776366,0.10517403,0.014603905,0.07588063,0.07777512,0.3477286,0.002387559],"about_ca_topic_score_codex":0.00014336081,"about_ca_topic_score_gemma":0.00015750233,"teacher_disagreement_score":0.732474,"about_ca_system_score_codex":0.00004266872,"about_ca_system_score_gemma":0.000022823348,"threshold_uncertainty_score":0.12124677},"labels":[],"label_agreement":null},{"id":"W2098240964","doi":"10.1186/1746-4811-7-46","title":"Reproducible hairy root transformation and spot-inoculation methods to study root symbioses of pea","year":2011,"lang":"en","type":"article","venue":"Plant Methods","topic":"Legume Nitrogen Fixing Symbiosis","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":"Wilfrid Laurier University","funders":"Institut National de la Recherche Agronomique; Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Wilfrid Laurier University","keywords":"Root (linguistics); Symbiosis; Transformation (genetics); Inoculation; Biology; Horticulture; Bacteria","score_opus":0.07551915319757069,"score_gpt":0.3275323680437897,"score_spread":0.252013214846219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098240964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950018,0.000111748064,0.002640244,0.00015817303,0.00015056388,0.00057374476,0.00003456381,0.00008034225,0.0012488094],"genre_scores_gemma":[0.80068666,0.0000035648911,0.19916409,0.000022208216,0.000054862383,0.000025603325,0.000021186455,0.0000016463904,0.000020161997],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99767315,0.0010554062,0.00041862013,0.00044643352,0.00018152077,0.0002248695],"domain_scores_gemma":[0.99909467,0.00043643662,0.00014005124,0.00014542369,0.000077302015,0.000106118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037309465,0.00016721156,0.00031270148,0.000047957186,0.00013142671,0.000026320933,0.00019459528,0.00008727305,0.00013829951],"category_scores_gemma":[0.00031531558,0.00007343776,0.00007155053,0.00043552023,0.00002903683,0.00019914782,0.00006313644,0.00009787775,0.000006212252],"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":[0.00009605415,0.000204438,0.047618534,0.000016038326,0.000044879376,0.0000015580293,0.0044242553,3.9556394e-7,0.650646,0.0001146213,0.000017019425,0.2968162],"study_design_scores_gemma":[0.00010400913,0.00037774508,0.4478837,0.00001204794,0.00005205334,0.000011232009,0.00062574673,0.000028808268,0.5500899,0.00041511864,0.00026554157,0.00013409575],"about_ca_topic_score_codex":0.0007667211,"about_ca_topic_score_gemma":0.00027919418,"teacher_disagreement_score":0.40026516,"about_ca_system_score_codex":0.000015568852,"about_ca_system_score_gemma":0.0000054790776,"threshold_uncertainty_score":0.2994705},"labels":[],"label_agreement":null},{"id":"W2103043793","doi":"10.1186/1746-4811-9-27","title":"Quantifying remobilization of pre-existing nitrogen from cuttings to new growth of woody plants using 15N at natural abundance","year":2013,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","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":"University of British Columbia","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Isotopes of nitrogen; Nitrogen; Ammonium; Biomass (ecology); Nitrate; Cutting; Ammonium nitrate; δ15N; Chemistry; Nitrogen deficiency; Agronomy; Stable isotope ratio; Botany; δ13C; Biology","score_opus":0.04853868490941688,"score_gpt":0.32172842824609404,"score_spread":0.27318974333667717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103043793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499746,0.000078286015,0.04910685,0.000018081691,0.00012857937,0.0002443129,0.00007666345,0.000024263112,0.0003483627],"genre_scores_gemma":[0.5777213,0.000009993087,0.42201662,0.00003500301,0.000019800445,0.0000029060395,0.00007521422,0.000012151757,0.00010702836],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986609,0.00015856023,0.00041163797,0.0002885224,0.00025012746,0.00023022803],"domain_scores_gemma":[0.9991046,0.000305449,0.0002846125,0.00019001699,0.000015736288,0.00009955587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040110262,0.00014473055,0.00025719704,0.00006238009,0.000081025326,0.000019230565,0.00022101657,0.000075086136,0.00015917128],"category_scores_gemma":[0.00014432239,0.00013069848,0.00005094837,0.00022240233,0.000044453758,0.00021096578,0.00019876582,0.00010252105,0.000020387579],"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":[0.00004224768,0.00002126999,0.23577219,0.000021442527,0.00002271517,0.0000016382152,0.00142393,0.008325331,0.74962085,0.000038302976,0.0000821641,0.0046278914],"study_design_scores_gemma":[0.000360294,0.000048903792,0.07557562,0.00027732534,0.000059778326,0.000046182286,0.00008361448,0.654894,0.26562992,0.0023586396,0.0002689142,0.00039680072],"about_ca_topic_score_codex":0.010663555,"about_ca_topic_score_gemma":0.00018005313,"teacher_disagreement_score":0.64656866,"about_ca_system_score_codex":0.0001092361,"about_ca_system_score_gemma":0.000012198451,"threshold_uncertainty_score":0.99592453},"labels":[],"label_agreement":null},{"id":"W2106732090","doi":"10.1186/1746-4811-1-14","title":"A procedure for localisation and electrophysiological characterisation of ion channels heterologously expressed in a plant context","year":2005,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"Institut National de la Recherche Agronomique; Institut National de la Santé et de la Recherche Médicale; Centre National de la Recherche Scientifique; European Commission","keywords":"Xenopus; Context (archaeology); Ion channel; Biology; Electrophysiology; Protoplast; In silico; Computational biology; Cell biology; Gene; Genetics; Neuroscience","score_opus":0.040207819181889336,"score_gpt":0.2782485162156064,"score_spread":0.23804069703371708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106732090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979417,0.0002790089,0.00018080676,0.000851156,0.000054129225,0.0004250107,0.00022787118,0.000032267086,0.000008062036],"genre_scores_gemma":[0.99658144,0.000372552,0.0018450734,0.00036622758,0.00026151372,0.00011750234,0.00044706627,7.929675e-7,0.000007827011],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998781,0.00025777868,0.00028854402,0.0003198177,0.00006112433,0.00029168298],"domain_scores_gemma":[0.9989345,0.0008168058,0.00014837088,0.000028117558,0.00003378108,0.00003840102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004143238,0.00015761041,0.0003853611,0.00002199598,0.00008339056,0.000010566564,0.0001042383,0.00018619034,0.000010923796],"category_scores_gemma":[0.00018010575,0.000058534988,0.00005788591,0.00010952549,0.00008223668,0.00006790859,0.00003637297,0.00011502875,8.4698496e-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":[0.0009611741,0.00008115261,0.000707949,0.00001412465,0.000012794587,7.604902e-7,0.00008666591,0.000005023779,0.94156,0.00017190726,0.00006832866,0.05633016],"study_design_scores_gemma":[0.0011338716,0.00601838,0.33970717,0.00008768624,0.000035940142,0.000045702807,0.00025619572,0.008770161,0.6276524,0.004932543,0.010787114,0.0005728155],"about_ca_topic_score_codex":0.000035258116,"about_ca_topic_score_gemma":0.00013325659,"teacher_disagreement_score":0.33899924,"about_ca_system_score_codex":0.000015782882,"about_ca_system_score_gemma":0.0000044936132,"threshold_uncertainty_score":0.23869875},"labels":[],"label_agreement":null},{"id":"W2110884784","doi":"10.1186/1746-4811-8-42","title":"Concurrent profiling of indole-3-acetic acid, abscisic acid, and cytokinins and structurally related purines by high-performance-liquid-chromatography tandem electrospray mass spectrometry","year":2012,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abscisic acid; Purine metabolism; Inosine; Derivatization; Metabolite; Chemistry; Biochemistry; Chromatography; Purine; Metabolomics; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; High-performance liquid chromatography; Biology; Adenosine; Enzyme; Mass spectrometry","score_opus":0.018963358612996587,"score_gpt":0.28247915220609887,"score_spread":0.2635157935931023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110884784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993323,0.0055280016,0.00021496821,0.000113736096,0.00014826172,0.00030253662,0.00023218029,0.000052838404,0.00008444269],"genre_scores_gemma":[0.9861736,0.0013044858,0.012135184,0.000028207454,0.00006189658,0.000017199147,0.00026556288,0.000003067366,0.000010744635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99785334,0.0004971962,0.00037226806,0.00037710686,0.00024787776,0.0006522288],"domain_scores_gemma":[0.9991019,0.00037857448,0.00019177866,0.000076064294,0.000045091023,0.00020660984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012314053,0.0002575143,0.00045574957,0.00007425043,0.00016710671,0.00003789623,0.00023703498,0.00023360703,0.000051843323],"category_scores_gemma":[0.00012138297,0.000112478614,0.000055943092,0.0005148609,0.00024951008,0.00015591166,0.00013657301,0.00036001898,0.000002183693],"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":[0.000058421232,0.000025524729,0.09680383,0.000029098042,0.000066143635,0.000002717772,0.000034254575,1.129705e-7,0.89397264,0.00016151756,0.000025896727,0.00881983],"study_design_scores_gemma":[0.00028356677,0.0006938607,0.14381397,0.000031068277,0.00003164067,0.0001952622,0.000043443244,0.000052397692,0.85431635,0.000091501555,0.00021933531,0.00022762842],"about_ca_topic_score_codex":0.00001731522,"about_ca_topic_score_gemma":0.000005002575,"teacher_disagreement_score":0.047010135,"about_ca_system_score_codex":0.00001728011,"about_ca_system_score_gemma":0.000012056871,"threshold_uncertainty_score":0.45867446},"labels":[],"label_agreement":null},{"id":"W2118213741","doi":"10.1186/1746-4811-8-8","title":"Isolation of dimorphic chloroplasts from the single-cell C4 species Bienertia sinuspersici","year":2012,"lang":"en","type":"article","venue":"Plant Methods","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Government of Ontario","keywords":"Chloroplast; Percoll; Biology; Vacuole; Organelle; Protoplast; Photosynthesis; Lysis; Cell biology; Lysis buffer; Cytoplasm; Botany; Biochemistry; Centrifugation; Gene","score_opus":0.033492891096930724,"score_gpt":0.26981746002756896,"score_spread":0.23632456893063825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118213741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8347097,0.0013892553,0.1613426,0.000066454755,0.00047002497,0.00009100483,0.00012146057,0.000008936183,0.0018005646],"genre_scores_gemma":[0.96297765,0.00012779374,0.03604512,0.00015668874,0.00033417877,0.0000060652123,0.00012595026,0.000014333549,0.00021221963],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992077,0.00013662009,0.0001663563,0.00016782938,0.000102981845,0.00021854225],"domain_scores_gemma":[0.9993956,0.0001273883,0.000117254065,0.00026502344,0.00003504059,0.00005970112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004126571,0.00012255282,0.00013780601,0.000018097342,0.000055764536,0.00001101838,0.00017872997,0.00010106995,0.00005957059],"category_scores_gemma":[0.000141452,0.0000840591,0.000070291564,0.000063245,0.000048668535,0.0000056891104,0.00008703196,0.000063283005,0.0000056136005],"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":[0.00005547171,0.00008036562,0.0006338764,0.000009103578,0.000023417226,2.6468902e-7,0.00021281719,0.0000054178945,0.9972713,0.00011704085,0.0001400448,0.0014509021],"study_design_scores_gemma":[0.00015313321,0.000096339674,0.00068331155,0.000013482577,0.00004246856,0.000009034986,0.00014747285,0.00010497702,0.9712081,0.00012415777,0.027305108,0.00011242019],"about_ca_topic_score_codex":0.00003116777,"about_ca_topic_score_gemma":0.00001116245,"teacher_disagreement_score":0.12826796,"about_ca_system_score_codex":0.000007043535,"about_ca_system_score_gemma":0.000022649601,"threshold_uncertainty_score":0.34278306},"labels":[],"label_agreement":null},{"id":"W2140164209","doi":"10.1186/s13007-015-0083-5","title":"Guidelines for measuring and reporting environmental parameters for experiments in greenhouses","year":2015,"lang":"en","type":"article","venue":"Plant Methods","topic":"Greenhouse Technology and Climate Control","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":false,"ca_institutions":"McGill University","funders":"","keywords":"Set (abstract data type); Replication (statistics); Publishing; Quality (philosophy); Data collection; Quality assurance; Computer science; Data science; Environmental resource management; Business; Environmental science; Political science; Sociology; Marketing; Social science; Statistics; Mathematics","score_opus":0.5182777643988266,"score_gpt":0.42200044163664435,"score_spread":0.0962773227621822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140164209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99668384,0.0006664383,0.0015110056,0.00051856006,0.00008606553,0.00039714805,0.000051984232,0.00006422932,0.000020710153],"genre_scores_gemma":[0.7614447,0.00003716827,0.23796387,0.00021247378,0.00004457752,0.00023174105,0.000034649358,0.0000017918297,0.000029063138],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990197,0.000059839957,0.0004315374,0.00022179245,0.000061043866,0.00020610099],"domain_scores_gemma":[0.9992314,0.00042951058,0.00023063135,0.00003635426,0.000018709974,0.00005338135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018314327,0.00009528398,0.00021347933,0.000013286806,0.000070607915,0.000014598357,0.000087703585,0.000087319946,0.0000030191056],"category_scores_gemma":[0.001514158,0.000040155675,0.000045023105,0.00003541516,0.000031119456,0.000052235308,0.00003899768,0.000043384403,4.793966e-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":[0.00024212794,0.00006969069,0.09205357,0.000014328509,0.000028532413,0.000006596146,0.00021202452,0.000012774351,0.53855485,0.000106913954,0.00037755698,0.368321],"study_design_scores_gemma":[0.006320407,0.002556558,0.17578834,0.00025026003,0.00018269001,0.0002985678,0.0143177835,0.0225988,0.6796394,0.02410776,0.07208569,0.0018537518],"about_ca_topic_score_codex":0.00006036966,"about_ca_topic_score_gemma":0.00014931071,"teacher_disagreement_score":0.36646727,"about_ca_system_score_codex":0.000017527065,"about_ca_system_score_gemma":0.000002810205,"threshold_uncertainty_score":0.1812698},"labels":[],"label_agreement":null},{"id":"W2146262733","doi":"10.1186/1746-4811-7-1","title":"Delivering high-resolution landmarks using inkjet micropatterning for spatial monitoring of leaf expansion","year":2011,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Micropatterning; Lamina; Scale (ratio); Biological system; Computer science; Botany; Materials science; Cartography; Nanotechnology; Biology; Geography","score_opus":0.13217653602598337,"score_gpt":0.33818664182877256,"score_spread":0.2060101058027892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146262733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95104104,0.0001182423,0.048294745,0.000009483849,0.00020542179,0.00016168872,0.00011979466,0.000022427672,0.000027173346],"genre_scores_gemma":[0.8429071,0.000027302125,0.15680583,0.0000071773293,0.00014890895,0.000008969973,0.0000887017,0.0000012818026,0.000004777974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998889,0.0003198308,0.00019325278,0.00022300548,0.000097918724,0.0002769585],"domain_scores_gemma":[0.99938095,0.00036490697,0.000101207705,0.000047059508,0.000053564945,0.000052322186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008528997,0.00010346426,0.00018862043,0.000026289586,0.00012438689,0.000009819208,0.0001819578,0.00012038475,0.000030865343],"category_scores_gemma":[0.000119990415,0.000046610356,0.000061708495,0.00008622554,0.00003417398,0.00004793614,0.00009967339,0.00011085717,0.0000014139214],"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":[0.00014098824,0.000020382135,0.055737663,0.000012643495,0.0000134129,0.0000048025295,0.000079882266,0.000010107782,0.89915824,0.000005894523,0.000002819981,0.04481316],"study_design_scores_gemma":[0.00015086593,0.00019909717,0.1812632,0.00007235655,0.000018298018,0.000030041354,0.0000624479,0.0029390948,0.8149036,0.000071280185,0.00015653377,0.00013317626],"about_ca_topic_score_codex":0.0036710207,"about_ca_topic_score_gemma":0.00011606975,"teacher_disagreement_score":0.12552553,"about_ca_system_score_codex":0.000019632223,"about_ca_system_score_gemma":0.0000073639844,"threshold_uncertainty_score":0.55495095},"labels":[],"label_agreement":null},{"id":"W2146793659","doi":"10.1186/1746-4811-10-32","title":"Newly developed quantitative transactivation system shows difference in activation by Vitis CBF transcription factors on DRE/CRT elements","year":2014,"lang":"en","type":"article","venue":"Plant Methods","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transactivation; Transcription factor; Effector; Reporter gene; Plasmid; Biology; Transcription (linguistics); Promoter; Response element; Gene; Cell biology; Genetics; Gene expression","score_opus":0.04432025627770887,"score_gpt":0.328096289544994,"score_spread":0.2837760332672851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146793659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5217318,0.000012059099,0.47748774,0.000043125678,0.000055433025,0.00020177237,0.00021553118,0.000016035501,0.00023649285],"genre_scores_gemma":[0.9704318,0.000038774597,0.027732082,0.000085297426,0.000025609752,0.00008455724,0.0014818013,0.000017180351,0.00010288119],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986144,0.0003493068,0.00031153116,0.0003758895,0.00013923521,0.00020964173],"domain_scores_gemma":[0.99951404,0.00012698931,0.00010415947,0.0001677941,0.000028604489,0.000058388312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004262723,0.00018656679,0.00019481608,0.00007273471,0.00008504228,0.000022492904,0.00013660408,0.00015000372,0.000008111769],"category_scores_gemma":[0.00004575823,0.00016667933,0.000049494898,0.00011979973,0.000020629943,0.000010368326,0.0000050268063,0.00011984208,0.00000240742],"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":[0.00012879548,0.00007372259,0.0008777519,0.000026223584,0.000028451404,1.4454892e-7,0.0002246781,0.000045174613,0.9796568,0.0008023184,0.000073292416,0.018062623],"study_design_scores_gemma":[0.0007839042,0.00020798502,0.038370747,0.0000697864,0.000018865243,0.0000023180776,0.00025281182,0.0017573623,0.95141536,0.000052760646,0.0068003647,0.00026771062],"about_ca_topic_score_codex":0.00009231718,"about_ca_topic_score_gemma":0.000101369595,"teacher_disagreement_score":0.44975567,"about_ca_system_score_codex":0.000042604,"about_ca_system_score_gemma":0.000028884468,"threshold_uncertainty_score":0.6796985},"labels":[],"label_agreement":null},{"id":"W2150802268","doi":"10.1186/1746-4811-10-33","title":"A novel method to follow meiotic progression in Arabidopsis using confocal microscopy and 5-ethynyl-2′-deoxyuridine labeling","year":2014,"lang":"en","type":"article","venue":"Plant Methods","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston General Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meiocyte; Meiosis; Biology; Prophase; Arabidopsis; Cell biology; Genetics; Mutant; Gene","score_opus":0.029853183345533784,"score_gpt":0.3787334081134548,"score_spread":0.348880224767921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150802268","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":[0.3297427,0.0002837879,0.66940314,0.00007361566,0.00015801405,0.00023430606,0.000015181363,0.000017469933,0.00007177322],"genre_scores_gemma":[0.047156546,0.00001776577,0.9522182,0.000332155,0.000113962466,0.0000231354,0.00003023341,0.00003533173,0.00007268079],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980916,0.00052959565,0.0003028366,0.0005715814,0.00013274366,0.0003716522],"domain_scores_gemma":[0.99924374,0.00015440186,0.000092312184,0.0003028806,0.000044366425,0.00016230952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002583316,0.00022782605,0.00034123272,0.00012125398,0.000066981316,0.00004953241,0.00016178828,0.00021886201,0.0000036543079],"category_scores_gemma":[0.00059488614,0.00020819815,0.000062041145,0.00015711074,0.000029148297,0.000005798203,0.00021355228,0.00014110943,0.0000015334194],"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":[0.00013486702,0.00004914993,0.00032169887,0.000039240374,0.000025406029,0.0000033088934,0.00008110961,0.00012712964,0.9693502,0.00014679969,0.000014561526,0.029706536],"study_design_scores_gemma":[0.0007878766,0.0002552226,0.00012020882,0.00011513202,0.00003613052,0.00012637534,0.000038742248,0.018161682,0.9744651,0.00018789,0.005432049,0.00027361425],"about_ca_topic_score_codex":0.000054101085,"about_ca_topic_score_gemma":0.000024371055,"teacher_disagreement_score":0.28281504,"about_ca_system_score_codex":0.000023109887,"about_ca_system_score_gemma":0.000045181976,"threshold_uncertainty_score":0.8490074},"labels":[],"label_agreement":null},{"id":"W2169279655","doi":"10.1186/1746-4811-8-44","title":"FACS-based purification of Arabidopsis microspores, sperm cells and vegetative nuclei","year":2012,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"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":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Fred C. Gloeckner Foundation","keywords":"Microspore; Arabidopsis; Biology; Mitosis; Cell biology; Germ cell; Sperm; Pollen tube; Double fertilization; Egg cell; Cell cycle; Epigenetics; Genetics; Pollen; Cell; Botany; Gene; Stamen","score_opus":0.024262901332133827,"score_gpt":0.31463132446679204,"score_spread":0.2903684231346582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169279655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874876,0.0024997147,0.008895268,0.000043087824,0.00021115753,0.00016153016,0.00026668617,0.000008061317,0.00042688177],"genre_scores_gemma":[0.8164058,0.00017723822,0.18275532,0.000069675036,0.00014116008,0.000010351594,0.00034022593,0.000011976925,0.00008826249],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990137,0.00028689593,0.00017065047,0.00028127347,0.00004979573,0.0001976834],"domain_scores_gemma":[0.99943554,0.00007900588,0.00012815886,0.00024645354,0.00004565987,0.00006518497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071722514,0.00012137643,0.00017781058,0.00004188666,0.00002919294,0.000004096405,0.000094201256,0.00012864405,0.0000092946175],"category_scores_gemma":[0.00013704397,0.00010549764,0.000040780757,0.000049654525,0.00013022625,0.000003774875,0.000039408187,0.000061387684,0.0000042765955],"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":[0.00010806161,0.000058972848,0.007836399,0.000025679874,0.00003745119,4.461923e-7,0.00013254983,0.000003982331,0.9875776,0.000078112884,0.00023779749,0.0039029014],"study_design_scores_gemma":[0.00016951913,0.000079805744,0.026989127,0.0000059069257,0.000022287406,0.000018476943,0.000039631836,0.000025909467,0.9355163,0.000021040341,0.036993645,0.00011837596],"about_ca_topic_score_codex":0.000015491809,"about_ca_topic_score_gemma":0.0000021738374,"teacher_disagreement_score":0.17386006,"about_ca_system_score_codex":0.000007432198,"about_ca_system_score_gemma":0.000024148892,"threshold_uncertainty_score":0.4302069},"labels":[],"label_agreement":null},{"id":"W2235815306","doi":"10.1186/s13007-015-0099-x","title":"An improved method with a wider applicability to isolate plant mitochondria for mtDNA extraction","year":2015,"lang":"en","type":"article","venue":"Plant Methods","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Mitochondrial DNA; Mitochondrion; Biology; Nuclear DNA; Chloroplast DNA; Nuclear gene; DNA extraction; Chloroplast; Genome; DNA; Botany; Genetics; Gene; Polymerase chain reaction","score_opus":0.030786489066638077,"score_gpt":0.3902817966097251,"score_spread":0.35949530754308706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235815306","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":[0.04369199,0.000048954207,0.9545701,0.000108397486,0.00023600631,0.000880423,0.0002688913,0.000034948425,0.00016027305],"genre_scores_gemma":[0.058419596,0.000008979715,0.94006616,0.00040184494,0.00020852574,0.00050584826,0.00022328911,0.0000361243,0.00012964338],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852264,0.00020905116,0.00021564984,0.00061422196,0.00010596895,0.00033245026],"domain_scores_gemma":[0.9988459,0.000092233175,0.00010174832,0.0004862678,0.00013006285,0.00034383306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014229256,0.00021400562,0.0002535783,0.00003936613,0.000068169065,0.00003655552,0.00021785461,0.00017300405,0.0000051784573],"category_scores_gemma":[0.00023918733,0.00016602961,0.00006209038,0.00008237276,0.000018540453,0.000009325942,0.00004924838,0.000091978174,0.0000020938373],"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":[0.0016024138,0.00010020846,0.000007777808,0.00002981562,0.00004040786,0.0000012658658,0.000108422704,0.00004699976,0.9819895,0.000092457725,0.00013759015,0.01584312],"study_design_scores_gemma":[0.000642889,0.0013378031,0.000012332112,0.000009794402,0.00005227573,0.00011896162,0.00013691107,0.0065889317,0.8977531,0.0012771175,0.09180936,0.0002604976],"about_ca_topic_score_codex":0.00006803921,"about_ca_topic_score_gemma":0.00007739725,"teacher_disagreement_score":0.09167177,"about_ca_system_score_codex":0.000022389715,"about_ca_system_score_gemma":0.00013988512,"threshold_uncertainty_score":0.6770491},"labels":[],"label_agreement":null},{"id":"W2267462400","doi":"10.1186/s13007-016-0112-z","title":"Identification of an attenuated barley stripe mosaic virus for the virus-induced gene silencing of pathogenesis-related wheat genes","year":2016,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Virus Research Studies","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":"Saskatchewan Research Council (Canada); Plant Biotechnology Institute","funders":"National Research Council Canada","keywords":"Biology; Fusarium; Gene; Jasmonic acid; Gene silencing; Genetics","score_opus":0.08383407631237762,"score_gpt":0.34030384153498516,"score_spread":0.25646976522260756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267462400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891372,0.0010817605,0.0011135605,0.00026008292,0.00020098883,0.00050857133,0.00765412,0.000038839822,0.000004903692],"genre_scores_gemma":[0.99325114,0.0021295117,0.003794031,0.000027316724,0.00014272856,0.00013855495,0.00034578115,0.000004334214,0.00016662218],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977998,0.0006787547,0.0005574923,0.0003346095,0.00030913446,0.00032021702],"domain_scores_gemma":[0.99593836,0.003315455,0.00031181265,0.00014962,0.00020781958,0.00007693141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024834354,0.00016605177,0.00033659974,0.00003398265,0.00024286113,0.000020731275,0.000459755,0.000115448085,0.000046922312],"category_scores_gemma":[0.0006673223,0.00004888997,0.000119769866,0.00034472154,0.00009887219,0.00014133705,0.000090982474,0.000064823056,0.0000045022507],"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":[0.00010174219,0.000046946185,0.00012622132,0.000010873768,0.00006437524,9.4212714e-7,0.00007019417,0.0000064921137,0.7861097,0.00001629845,0.000091921,0.21335427],"study_design_scores_gemma":[0.00018541633,0.00020471014,0.018142087,0.000031727373,0.00005224288,0.000005614691,0.00013462214,0.0011352582,0.97893924,0.00019769206,0.0008425168,0.00012889436],"about_ca_topic_score_codex":0.00061558443,"about_ca_topic_score_gemma":0.00043841137,"teacher_disagreement_score":0.21322538,"about_ca_system_score_codex":0.000025898442,"about_ca_system_score_gemma":0.00001962159,"threshold_uncertainty_score":0.19936751},"labels":[],"label_agreement":null},{"id":"W2572830978","doi":"10.1186/s13007-017-0156-8","title":"Application of 3D printing to prototype and develop novel plant tissue culture systems","year":2017,"lang":"en","type":"article","venue":"Plant Methods","topic":"Light effects on plants","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":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Modular design; Light-emitting diode; Process engineering; Computer science; Biochemical engineering; Materials science; Optoelectronics; Engineering","score_opus":0.047606464043061895,"score_gpt":0.33331363216333487,"score_spread":0.28570716812027297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572830978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98227245,0.00016740728,0.012122543,0.0003429067,0.00030585265,0.0024517966,0.000553715,0.000080279024,0.001703037],"genre_scores_gemma":[0.8583705,0.00002112951,0.1408216,0.00005001302,0.00022440065,0.00019655497,0.00010801517,0.000001776685,0.00020602442],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915713,0.00009421239,0.00018714556,0.000259047,0.00013114457,0.00017132204],"domain_scores_gemma":[0.9992939,0.0002493882,0.0002084066,0.00010267708,0.000061307226,0.00008431639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000910201,0.00011318598,0.00022077162,0.00001015052,0.0002227833,0.00009088065,0.00029569413,0.00009601396,0.000004030813],"category_scores_gemma":[0.00032730328,0.000041122566,0.000011629091,0.00007549061,0.00002481873,0.00008096485,0.00012955174,0.00007534497,0.0000086008795],"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":[0.0000317654,0.00002052854,0.006189259,0.00006134078,0.000009782139,0.00000147448,0.00011972637,0.0000012138441,0.8895404,0.00043373034,0.00006633347,0.103524484],"study_design_scores_gemma":[0.00021623066,0.000351626,0.36863008,0.0002540881,0.000026300482,0.00012028853,0.00009415407,0.0014493344,0.43161428,0.00006511712,0.1967853,0.00039317837],"about_ca_topic_score_codex":0.0005201985,"about_ca_topic_score_gemma":0.000084360116,"teacher_disagreement_score":0.45792606,"about_ca_system_score_codex":0.000008838955,"about_ca_system_score_gemma":0.000005616753,"threshold_uncertainty_score":0.17134915},"labels":[],"label_agreement":null},{"id":"W2605843189","doi":"10.1186/s13007-017-0175-5","title":"A rapid and efficient method for uniform gene expression using the barley stripe mosaic virus","year":2017,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; China Agricultural University; National Research Council Canada; Université du Québec à Montréal","keywords":"Gene; Biology; Mosaic; Mosaic virus; Computational biology; Virus; Genetics; Virology; Plant virus; Geography","score_opus":0.15782346056601637,"score_gpt":0.40367408583424347,"score_spread":0.2458506252682271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605843189","genre_codex":"empirical","genre_gemma":"methods","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":[0.9181669,0.0040167053,0.06473663,0.0016441125,0.0006788287,0.0017401971,0.008512247,0.00009899903,0.00040540216],"genre_scores_gemma":[0.030585207,0.002133062,0.9656231,0.00026172088,0.0006822593,0.00016468138,0.00024113667,0.000004767654,0.00030405918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848115,0.0004473128,0.00016899961,0.00031026726,0.00021175745,0.00038050005],"domain_scores_gemma":[0.9970503,0.0025092252,0.0001479377,0.00014032616,0.000050651055,0.00010155419],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028845055,0.00015403329,0.00024281585,0.000013528394,0.0018700304,0.0002091188,0.00046319613,0.00007534847,0.000026907392],"category_scores_gemma":[0.00088976795,0.00004428361,0.00007282898,0.00006346815,0.000116472045,0.00007650134,0.00037493889,0.0001357088,0.0000011870244],"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":[0.000082035935,0.00001801859,0.0000646661,0.000007748639,0.000015509846,0.0000026002438,0.00008026727,0.000019616302,0.8700742,0.000036890542,0.0005679961,0.1290304],"study_design_scores_gemma":[0.00026428595,0.00014418419,0.0041325856,0.000046739544,0.00003719295,0.00003782004,0.00023091806,0.049508605,0.8387169,0.00046992628,0.10618096,0.00022986089],"about_ca_topic_score_codex":0.00048087127,"about_ca_topic_score_gemma":0.00011084851,"teacher_disagreement_score":0.9008865,"about_ca_system_score_codex":0.00001990174,"about_ca_system_score_gemma":0.000010283862,"threshold_uncertainty_score":0.9994294},"labels":[],"label_agreement":null},{"id":"W2739772736","doi":"10.1186/s13007-017-0213-3","title":"An improved butanol-HCl assay for quantification of water-soluble, acetone:methanol-soluble, and insoluble proanthocyanidins (condensed tannins)","year":2017,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Turun Yliopisto; Northern Arizona University","keywords":"Tannin; Proanthocyanidin; Acetone; Chemistry; Condensed tannin; Extraction (chemistry); Butanol; Chromatography; Reagent; Polyphenol; Ethanol; Organic chemistry; Food science","score_opus":0.04381068871754008,"score_gpt":0.36764426248188004,"score_spread":0.32383357376433997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739772736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6229115,0.00040307434,0.3733709,0.00037611776,0.00077312044,0.00096049154,0.0005435962,0.00005278524,0.0006084023],"genre_scores_gemma":[0.76155496,0.00034864154,0.23432969,0.000065969965,0.00016542384,0.00012929368,0.0012713019,0.000055410663,0.0020792896],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99765277,0.00041697995,0.000509142,0.00079073576,0.00017094777,0.0004594251],"domain_scores_gemma":[0.9976196,0.000117950025,0.0004907255,0.0013554378,0.0002237695,0.00019247014],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026460541,0.00030488384,0.0005179612,0.00013587234,0.00042045666,0.00015412396,0.00068325753,0.00037470815,0.00001996879],"category_scores_gemma":[0.00074545277,0.0002456339,0.00015568684,0.00005428919,0.00017988104,0.00003818774,0.00023216449,0.00013156488,0.0000023881948],"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":[0.00041801756,0.00013082505,0.0006781538,0.00007905516,0.00017965463,0.0000018392359,0.00012019591,0.000024752255,0.99207324,0.00005983363,0.0015883343,0.004646074],"study_design_scores_gemma":[0.0009654279,0.00030478803,0.0005172073,0.000026529578,0.00013903287,0.000027174945,0.000093280025,0.0145667335,0.9559513,0.00012424443,0.026939785,0.00034449753],"about_ca_topic_score_codex":0.00010569046,"about_ca_topic_score_gemma":0.00008568486,"teacher_disagreement_score":0.13904122,"about_ca_system_score_codex":0.000014510058,"about_ca_system_score_gemma":0.000088624794,"threshold_uncertainty_score":0.9999996},"labels":[],"label_agreement":null},{"id":"W2767150407","doi":"10.1186/s13007-017-0244-9","title":"Microscope image based fully automated stomata detection and pore measurement method for grapevines","year":2017,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":73,"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":"Wine Australia; South Australian Research and Development Institute; Institut de Recherche pour le Développement; Alberta Water Research Institute","keywords":"Skeletonization; Artificial intelligence; Segmentation; Microscope; Image processing; Computer science; Pattern recognition (psychology); Biological system; Computer vision; Image (mathematics); Materials science; Biology; Optics; Physics","score_opus":0.07618732634237924,"score_gpt":0.3435408048402556,"score_spread":0.2673534784978764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767150407","genre_codex":"empirical","genre_gemma":"methods","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":[0.95759726,0.0010583228,0.035054002,0.0019422217,0.00061144703,0.0013357864,0.0015080081,0.0005856008,0.0003073425],"genre_scores_gemma":[0.40475926,0.00006888327,0.59461415,0.00012910913,0.00007236249,0.00010491994,0.0001672681,0.0000031449642,0.00008089002],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988825,0.00022121263,0.00016986685,0.00032500166,0.00014632913,0.0002551042],"domain_scores_gemma":[0.9992787,0.0002690876,0.00016731983,0.000106750944,0.00009061732,0.00008751383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013526456,0.00017471914,0.00024207005,0.000012226845,0.0007804023,0.00023024369,0.00020511354,0.00008017355,0.000020138552],"category_scores_gemma":[0.00027392295,0.00006372186,0.000071101815,0.00003838849,0.000040521154,0.00014416978,0.0000640166,0.000052706342,0.0000029728947],"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":[0.00012318193,0.00003647294,0.0007200728,0.000022597147,0.00003252898,0.0000042163756,0.000009745101,8.1443835e-7,0.8134957,0.0000029567552,0.00015479479,0.1853969],"study_design_scores_gemma":[0.00085828424,0.0006188932,0.11348794,0.00009593487,0.00014107006,0.00005639512,0.000050428644,0.041330248,0.8159516,0.0003440176,0.02666374,0.00040147884],"about_ca_topic_score_codex":0.0005433013,"about_ca_topic_score_gemma":0.00053447334,"teacher_disagreement_score":0.5595601,"about_ca_system_score_codex":0.00002330794,"about_ca_system_score_gemma":0.0000082494635,"threshold_uncertainty_score":0.6002302},"labels":[],"label_agreement":null},{"id":"W2793323341","doi":"10.1186/s13007-018-0273-z","title":"The use of plant models in deep learning: an application to leaf counting in rosette plants","year":2018,"lang":"en","type":"article","venue":"Plant Methods","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":262,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Computer science; Artificial intelligence; Deep learning; Task (project management); A priori and a posteriori; Convolutional neural network; Machine learning; Field (mathematics); Deep neural networks; Artificial neural network; Pattern recognition (psychology); Mathematics","score_opus":0.08270931637758049,"score_gpt":0.3075399684200314,"score_spread":0.2248306520424509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793323341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767995,0.00004995235,0.0013753658,0.00035324512,0.00007290524,0.00023941316,0.00004612677,0.000024002064,0.00015904469],"genre_scores_gemma":[0.9904293,0.00009155133,0.008585646,0.0002830665,0.00027353765,0.000043981847,0.00019850119,0.0000013615306,0.00009305353],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988017,0.00032489502,0.00025085622,0.0002368834,0.0001364053,0.00024924846],"domain_scores_gemma":[0.99896485,0.00079854013,0.00009214793,0.00005925614,0.000031111944,0.000054091634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010428533,0.000099637306,0.00016052595,0.000018751887,0.00012722873,0.00006297643,0.00023405417,0.0000780267,0.0000055568976],"category_scores_gemma":[0.00010473715,0.000032034524,0.000024286108,0.000301785,0.000030608222,0.00024466214,0.000054008753,0.00013910403,0.000005372265],"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":[0.0002458893,0.00012633501,0.04275842,0.0000060905018,0.0000095753885,0.000004917239,0.0017072592,0.0024463397,0.61495787,0.0010543123,0.0005689247,0.33611408],"study_design_scores_gemma":[0.00027153626,0.0005369249,0.52346194,0.00009478672,0.000010506042,0.000027151562,0.0014352878,0.09085007,0.032482494,0.0013588034,0.3489976,0.00047293867],"about_ca_topic_score_codex":0.0009789495,"about_ca_topic_score_gemma":0.01301061,"teacher_disagreement_score":0.58247536,"about_ca_system_score_codex":0.000015209839,"about_ca_system_score_gemma":0.0000032891699,"threshold_uncertainty_score":0.72602254},"labels":[],"label_agreement":null},{"id":"W2883006406","doi":"10.1186/s13007-018-0323-6","title":"Differentiation between closely-related Impatiens spp. and regional biotypes of Impatiens glandulifera using a highly-simplified and inexpensive method for MALDI-TOF MS","year":2018,"lang":"en","type":"article","venue":"Plant Methods","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","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":"Australian Centre for International Agricultural Research; Agriculture and Agri-Food Canada; Ministry of Agriculture of the People's Republic of China; Department for International Development","keywords":"Impatiens; Biology; Weed; Botany; Balsam; Balsaminaceae","score_opus":0.055392606014274294,"score_gpt":0.37343676650253105,"score_spread":0.31804416048825673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883006406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9346157,0.000104609135,0.06453375,0.00006080106,0.000118316224,0.00029441377,0.00024171968,0.000011867374,0.000018846496],"genre_scores_gemma":[0.7456149,0.000022580252,0.25347397,0.000037661608,0.00018030092,0.0000073050314,0.0006143779,0.000015375388,0.000033561875],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867916,0.00032392138,0.00038497156,0.00036762515,0.00006967,0.00017467995],"domain_scores_gemma":[0.9989651,0.0002718623,0.00026323184,0.00019383356,0.00022359585,0.000082379374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067902677,0.00014899488,0.00028284968,0.000070992945,0.00011604395,0.000029614737,0.00007034231,0.00018585779,0.0000144734795],"category_scores_gemma":[0.00051511574,0.0001340584,0.00005328325,0.000076240074,0.00011062532,0.000008990152,0.00007912622,0.00005799806,4.778709e-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":[0.00015388087,0.000022425873,0.012514779,0.000050242983,0.00008766844,1.2175501e-7,0.00035971275,0.0000010496746,0.9783523,0.00007482331,0.00006985507,0.008313126],"study_design_scores_gemma":[0.0015936107,0.00080912176,0.1527803,0.00006472846,0.00022348967,0.000040254137,0.00014163106,0.0073605557,0.83300704,0.0011482862,0.0024401809,0.0003908244],"about_ca_topic_score_codex":0.00011505626,"about_ca_topic_score_gemma":0.00002371251,"teacher_disagreement_score":0.18900082,"about_ca_system_score_codex":0.000009632332,"about_ca_system_score_gemma":0.000036314483,"threshold_uncertainty_score":0.5466743},"labels":[],"label_agreement":null},{"id":"W2894919543","doi":"10.1186/s13007-018-0352-1","title":"Hyperspectral imaging: a novel approach for plant root phenotyping","year":2018,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; Agriculture and Agri-Food Canada","funders":"Austrian Science Fund; Amt der NÖ Landesregierung","keywords":"Hyperspectral imaging; Thresholding; Segmentation; RGB color model; Pipeline (software); Remote sensing; Artificial intelligence; Root system; Biological system; Pattern recognition (psychology); Mathematics; Computer science; Botany; Geology; Biology; Image (mathematics)","score_opus":0.06871693199482364,"score_gpt":0.301909931765324,"score_spread":0.23319299977050034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894919543","genre_codex":"empirical","genre_gemma":"methods","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":[0.586039,0.004427916,0.3638668,0.0020050548,0.0038006774,0.0020732796,0.005107329,0.00076597265,0.031913944],"genre_scores_gemma":[0.13031906,0.00015223539,0.8588973,0.0011816913,0.006382959,0.00014364021,0.0019393158,0.000006601569,0.0009771708],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862,0.00009249897,0.00021796743,0.0004197544,0.00014392055,0.0005059019],"domain_scores_gemma":[0.999201,0.00044559754,0.00009154103,0.000070068,0.000055908644,0.00013587045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091706484,0.00018879156,0.00027741134,0.000023264043,0.0002825713,0.000067395355,0.00030112147,0.00007856941,0.00004291533],"category_scores_gemma":[0.00012978356,0.000073354895,0.0001245277,0.00020303448,0.00006888852,0.000107045365,0.00005156025,0.00011112268,0.0000101342475],"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":[0.00017272429,0.00015173297,0.000553737,0.00000692374,0.000025747797,0.0000017353495,0.00017606329,7.049337e-7,0.8687877,0.005466216,0.0032520965,0.12140463],"study_design_scores_gemma":[0.00049155526,0.00011677597,0.006717879,0.000019057068,0.000060564398,0.0001464446,0.00022431869,0.00939427,0.07699971,0.00083551276,0.90458834,0.00040554727],"about_ca_topic_score_codex":0.000067085275,"about_ca_topic_score_gemma":0.000021502043,"teacher_disagreement_score":0.90133625,"about_ca_system_score_codex":0.000014918476,"about_ca_system_score_gemma":0.00001050497,"threshold_uncertainty_score":0.2991326},"labels":[],"label_agreement":null},{"id":"W2897574815","doi":"10.1186/s13007-018-0358-8","title":"A simple and inexpensive method for practical storage of field-sample proteins for subsequent MALDI-TOF MS analysis","year":2018,"lang":"en","type":"article","venue":"Plant Methods","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; Agriculture and Agri-Food Canada; Ministry of Agriculture of the People's Republic of China; Department for International Development","keywords":"Sample preparation; Chromatography; Trifluoroacetic acid; Filter paper; Matrix-assisted laser desorption/ionization; Chemistry; Mass spectrometry; Matrix (chemical analysis); Desorption; Adsorption","score_opus":0.06305173524644658,"score_gpt":0.4305345837005609,"score_spread":0.36748284845411433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897574815","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":[0.15580241,0.000026503783,0.8430106,0.00020951706,0.0000685978,0.00052462413,0.00032778922,0.000007082194,0.000022842132],"genre_scores_gemma":[0.15860084,0.0000056350095,0.8405106,0.0001427224,0.00015225669,0.00010740254,0.00041813223,0.000009330791,0.00005309932],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988923,0.00027869613,0.0002770776,0.00033774503,0.000054258366,0.00015990983],"domain_scores_gemma":[0.99816287,0.0010510873,0.00016879204,0.00027409036,0.00027951985,0.00006364303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014996583,0.00010078078,0.00025353258,0.000060056784,0.000078654804,0.000025428546,0.000077231845,0.000118556396,0.000035041954],"category_scores_gemma":[0.006269718,0.00009231888,0.0001206844,0.00010674287,0.000048184273,0.0000052351825,0.00005712032,0.00003955331,1.9708591e-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":[0.00032226642,0.000044881846,0.0010228143,0.00006153268,0.00021987334,1.9977249e-7,0.0001210932,0.0000033658155,0.9934824,0.0006006879,0.00040362336,0.0037172595],"study_design_scores_gemma":[0.0004133083,0.00066659146,0.0020453727,0.0000054432307,0.0003034883,0.0000067911187,0.0001013691,0.010731839,0.96309894,0.001316789,0.021156527,0.00015354552],"about_ca_topic_score_codex":0.00023299479,"about_ca_topic_score_gemma":0.00036352986,"teacher_disagreement_score":0.030383466,"about_ca_system_score_codex":0.000006973549,"about_ca_system_score_gemma":0.000061178805,"threshold_uncertainty_score":0.75058913},"labels":[],"label_agreement":null},{"id":"W2900231393","doi":"10.1186/s13007-018-0363-y","title":"Transient co-expression with three O-glycosylation enzymes allows production of GalNAc-O-glycosylated Granulocyte-Colony Stimulating Factor in N. benthamiana","year":2018,"lang":"en","type":"article","venue":"Plant Methods","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Shimane University","keywords":"Nicotiana benthamiana; Glycosylation; Agroinfiltration; Glycoprotein; Biochemistry; N-linked glycosylation; Biology; Recombinant DNA; Cell biology; Chemistry; Gene; Glycan","score_opus":0.02822583521212987,"score_gpt":0.3311208754724289,"score_spread":0.30289504026029906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900231393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91677743,0.00015279377,0.08204514,0.000050519957,0.000097244105,0.00047445233,0.00014085723,0.000020322723,0.00024125195],"genre_scores_gemma":[0.95216197,0.000047890862,0.047176525,0.000015344602,0.00010316954,0.000038077844,0.00040116537,0.000018787421,0.00003704468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987536,0.00014089161,0.00032122646,0.00040689213,0.00015662606,0.00022073677],"domain_scores_gemma":[0.9993957,0.000049861264,0.00014140227,0.0002829489,0.00007342983,0.000056658995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037166415,0.0001698158,0.0002151232,0.00008516028,0.00008533891,0.000009823827,0.00012883908,0.00014169543,0.000029726756],"category_scores_gemma":[0.00005125358,0.00013566167,0.000048347367,0.00016413299,0.000084413376,0.000010116912,0.000014806123,0.000106156054,0.0000019380325],"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":[0.00041488506,0.00009348105,0.019407975,0.000026581116,0.000029632267,9.56136e-7,0.0001929355,0.0004021822,0.97304124,0.000022101436,0.00008679638,0.00628124],"study_design_scores_gemma":[0.00058988394,0.00031227942,0.09216869,0.00006752029,0.000022449114,0.000012813358,0.000024990282,0.0014357081,0.90189946,0.000027209826,0.0032626959,0.00017631217],"about_ca_topic_score_codex":0.00009794306,"about_ca_topic_score_gemma":0.0008354492,"teacher_disagreement_score":0.07276071,"about_ca_system_score_codex":0.000015409272,"about_ca_system_score_gemma":0.000050982173,"threshold_uncertainty_score":0.5532122},"labels":[],"label_agreement":null},{"id":"W2942216804","doi":"10.1186/s13007-019-0411-2","title":"Utilization of computer vision and multispectral imaging techniques for classification of cowpea (Vigna unguiculata) seeds","year":2019,"lang":"en","type":"article","venue":"Plant Methods","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":70,"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":"FP7 People: Marie-Curie Actions; Institut National de la Recherche Agronomique; AgreenSkills; Agence Universitaire de la Francophonie; European Commission; Science and Technology Development Fund; Institut de Recherche pour le Développement","keywords":"Vigna; Multispectral image; Computer science; Biology; Agronomy; Artificial intelligence","score_opus":0.042757603294046785,"score_gpt":0.3932963199551017,"score_spread":0.35053871666105496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942216804","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":[0.23147815,0.00051790016,0.7660447,0.000034787136,0.000046321937,0.00016409982,0.00008801712,0.00006065602,0.0015653858],"genre_scores_gemma":[0.6578113,0.00005648776,0.3419054,0.00000998759,0.000031406726,0.0000059885406,0.00010775146,0.0000094962315,0.00006222916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992799,0.000034416258,0.00027269704,0.00020032993,0.0001014845,0.0001111536],"domain_scores_gemma":[0.99909866,0.0003974957,0.00022057936,0.00017636915,0.00008045689,0.000026458176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035336512,0.000102420825,0.00027264253,0.00013394577,0.000023574195,0.0000105105355,0.00009002861,0.00007471755,0.00006560653],"category_scores_gemma":[0.00005824759,0.00008928686,0.000060630686,0.00018486177,0.000043306543,0.00007161809,0.000029473415,0.00006150792,3.3411018e-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":[0.000050751,0.000046333807,0.014631076,0.00031969443,0.000034783872,1.9795937e-7,0.000074551754,0.000003713825,0.9518549,0.0007583008,0.00008486396,0.032140847],"study_design_scores_gemma":[0.00023680335,0.000039472754,0.0048240093,0.000057337315,0.00008448599,0.0000071435275,0.00009249482,0.081722945,0.91205156,0.00023661567,0.000556918,0.00009023533],"about_ca_topic_score_codex":0.00002239704,"about_ca_topic_score_gemma":5.960567e-7,"teacher_disagreement_score":0.42633313,"about_ca_system_score_codex":0.000022482458,"about_ca_system_score_gemma":0.000012704777,"threshold_uncertainty_score":0.36410126},"labels":[],"label_agreement":null},{"id":"W2947188444","doi":"10.1186/s13007-019-0429-5","title":"Centromere histone H3- and phospholipase-mediated haploid induction in plants","year":2019,"lang":"en","type":"review","venue":"Plant Methods","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":38,"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 Natural Science Foundation of China","keywords":"Centromere; Biology; Ploidy; Histone H3; Doubled haploidy; Mutant; Genetics; Histone; Arabidopsis; Arabidopsis thaliana; Gene; Chromosome","score_opus":0.11248181471624154,"score_gpt":0.3667289216033127,"score_spread":0.2542471068870712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947188444","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":[0.002665975,0.99486125,0.0000033265774,0.000059423408,0.0005570821,0.0005033208,0.0010709963,0.000038059086,0.00024055834],"genre_scores_gemma":[0.000024989911,0.9958194,0.0016088666,0.000029054663,0.00020271087,0.00004452389,0.001992466,0.000002338474,0.00027565853],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982452,0.00047771537,0.0004146806,0.00044641955,0.00013304756,0.00028295137],"domain_scores_gemma":[0.9987059,0.00088622177,0.00022164042,0.00007128724,0.000013019084,0.00010193636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045042514,0.000276953,0.0009256195,0.00004143803,0.00007530151,0.000035433728,0.0001769032,0.0003494371,0.00031486267],"category_scores_gemma":[0.000096594675,0.00010524022,0.00012281553,0.00031898543,0.000029072933,0.000046636917,0.00008421232,0.00031830312,0.00008049434],"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":[0.000004943325,0.00004380566,0.000038226262,0.000409927,0.000023627576,0.0000068552526,0.000036544137,1.2873585e-7,0.0007088955,0.000025741645,0.00010768065,0.9985936],"study_design_scores_gemma":[0.000095640346,0.00005669295,0.0021951261,0.0010647036,0.00010008461,0.00010448844,0.000022869312,0.000016418942,0.00002388876,0.000060321196,0.9959844,0.0002753931],"about_ca_topic_score_codex":0.00037823062,"about_ca_topic_score_gemma":0.00022533546,"teacher_disagreement_score":0.99831825,"about_ca_system_score_codex":0.00006441698,"about_ca_system_score_gemma":0.000030139276,"threshold_uncertainty_score":0.4291572},"labels":[],"label_agreement":null},{"id":"W2963897764","doi":"10.1186/s13007-019-0464-2","title":"Methodology: ssb-MASS: a single seed-based sampling strategy for marker-assisted selection in rice","year":2019,"lang":"en","type":"article","venue":"Plant Methods","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intertek (Canada)","funders":"Bill and Melinda Gates Foundation","keywords":"Selection (genetic algorithm); Biology; Marker-assisted selection; Panicle; Biotechnology; Sampling (signal processing); Genetic marker; Agronomy; Computer science; Genetics; Artificial intelligence; Gene","score_opus":0.14067301094549609,"score_gpt":0.3668996525949472,"score_spread":0.22622664164945114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963897764","genre_codex":"empirical","genre_gemma":"methods","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":[0.53200954,0.00023850164,0.46524617,0.000069999056,0.0002475172,0.00034725553,0.00013183973,0.000025306132,0.0016838884],"genre_scores_gemma":[0.37778515,0.000025804633,0.62095636,0.0002325673,0.0000916444,0.000020600522,0.00027908353,0.000014684857,0.0005940722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852943,0.00046315597,0.00021903293,0.0004040294,0.00007551912,0.000308838],"domain_scores_gemma":[0.9992852,0.00036575357,0.000104305785,0.0001319527,0.000057261812,0.00005549018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014988785,0.00016108957,0.0002530467,0.000099143304,0.00006717295,0.00003236932,0.00013983989,0.00022059694,0.000025636635],"category_scores_gemma":[0.00026131803,0.00015508333,0.000096995194,0.00012174593,0.000019664449,0.0000032799624,0.000029784487,0.000097720746,0.0000051576476],"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":[0.0003539736,0.00007074381,0.0071630524,0.00008116308,0.00004009233,0.0000010152285,0.00001913754,0.0013032353,0.9866461,0.000040617746,0.00028084178,0.00400004],"study_design_scores_gemma":[0.0028705471,0.0016229713,0.058834307,0.00010201258,0.00010010428,0.00005451844,0.0004318622,0.013596227,0.85309345,0.0005920766,0.067943715,0.0007582],"about_ca_topic_score_codex":0.000055480727,"about_ca_topic_score_gemma":0.000028359564,"teacher_disagreement_score":0.15571022,"about_ca_system_score_codex":0.000018346022,"about_ca_system_score_gemma":0.000071590955,"threshold_uncertainty_score":0.6324115},"labels":[],"label_agreement":null},{"id":"W2969671956","doi":"10.1186/s13007-019-0478-9","title":"Soybean iron deficiency chlorosis high-throughput phenotyping using an unmanned aircraft system","year":2019,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":65,"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":"Killam Trusts; Minnesota Soybean Research and Promotion Council; United Soybean Board; University of Minnesota","keywords":"Chlorosis; Canopy; Abiotic component; Growing season; Phenomics; Artificial intelligence; Scale (ratio); Remote sensing; Environmental science; Horticulture; Agronomy; Computer science; Biology; Cartography; Botany; Geography; Ecology","score_opus":0.03607712805900728,"score_gpt":0.28686453550943963,"score_spread":0.2507874074504324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969671956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99498034,0.00014475937,0.0023988425,0.000059138405,0.0010945911,0.00029914724,0.00018175658,0.00018245057,0.0006589516],"genre_scores_gemma":[0.980325,0.000015312015,0.018962026,0.000089362395,0.00023864789,0.000008213428,0.00026629752,0.000002697,0.00009245961],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818313,0.00043512436,0.0002783769,0.00048140142,0.00016952254,0.00045243086],"domain_scores_gemma":[0.99902683,0.00054771337,0.00014721655,0.00012167841,0.000037278834,0.00011929527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008444279,0.00021694998,0.00031038857,0.000033016062,0.00032463242,0.000112815156,0.0002818597,0.00012812909,0.00018118415],"category_scores_gemma":[0.000028385371,0.00009266808,0.000094003335,0.00029520673,0.000021843758,0.0003340559,0.00007814661,0.00016931928,0.00014140324],"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":[0.000058074034,0.00010917922,0.0013424235,0.00006583361,0.0000080362715,0.0000064459446,0.00010514594,0.00020587018,0.9834825,0.00068828324,0.000067190675,0.013861061],"study_design_scores_gemma":[0.002023829,0.0028415346,0.05974881,0.0020912571,0.0004707661,0.0015510741,0.009062243,0.16890435,0.6989956,0.00066546834,0.049502335,0.004142744],"about_ca_topic_score_codex":0.0010970501,"about_ca_topic_score_gemma":0.00007347922,"teacher_disagreement_score":0.28448686,"about_ca_system_score_codex":0.00010377141,"about_ca_system_score_gemma":0.000009204013,"threshold_uncertainty_score":0.37788948},"labels":[],"label_agreement":null},{"id":"W2982095232","doi":"10.1186/s13007-019-0500-2","title":"An optimised CRISPR/Cas9 protocol to create targeted mutations in homoeologous genes and an efficient genotyping protocol to identify edited events in wheat","year":2019,"lang":"en","type":"article","venue":"Plant Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","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":"National Research Council Canada; Plant Biotechnology Institute; Communications Research Centre Canada; University of Ottawa","funders":"National Research Council Canada; Agriculture and Agri-Food Canada","keywords":"CRISPR; Genetics; Biology; Genotyping; Gene; Protocol (science); Computational biology; Genotype; Medicine","score_opus":0.018370749519925126,"score_gpt":0.43615333593707295,"score_spread":0.4177825864171478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982095232","genre_codex":"empirical","genre_gemma":"protocol","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":[0.7213892,0.000014520773,0.0843472,0.000032317686,0.00009700842,0.19402839,0.0000295402,0.000023786628,0.000038028047],"genre_scores_gemma":[0.19540094,0.0000017497562,0.24623848,0.00013441683,0.00015017304,0.55781204,0.00015229631,0.000052273535,0.00005765942],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998244,0.00033397903,0.00034905897,0.0005793836,0.00011744946,0.00037616817],"domain_scores_gemma":[0.9992798,0.00003388217,0.000046504192,0.0003760324,0.000053032127,0.00021072468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080377446,0.00021984366,0.00024772316,0.00026234606,0.00004525172,0.000030505142,0.00019891579,0.00015312966,0.000019459476],"category_scores_gemma":[0.00009975037,0.0002172174,0.000032475382,0.00025879336,0.000013259934,0.000008110453,0.00010790347,0.000114783084,0.0000053335975],"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":[0.00032168475,0.00013230667,0.0065763826,0.00008840867,0.000010929232,0.000007402456,0.00042562315,0.117537275,0.87067485,0.000002594838,0.000015432945,0.004207123],"study_design_scores_gemma":[0.0022221257,0.0008981646,0.08501289,0.000104081344,0.000011775431,0.000028320697,0.00019975532,0.036077403,0.871586,0.000020800142,0.0033361688,0.00050246355],"about_ca_topic_score_codex":0.000099572906,"about_ca_topic_score_gemma":0.0001311206,"teacher_disagreement_score":0.5259883,"about_ca_system_score_codex":0.000029303095,"about_ca_system_score_gemma":0.000051406023,"threshold_uncertainty_score":0.88578683},"labels":[],"label_agreement":null},{"id":"W2988815867","doi":"10.1186/s13007-019-0506-9","title":"Development, progress and future prospects in cryobiotechnology of Lilium spp.","year":2019,"lang":"en","type":"review","venue":"Plant Methods","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","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":"University of Guelph","funders":"Chinese Universities Scientific Fund; National Natural Science Foundation of China","keywords":"Lilium; Biology; Botany","score_opus":0.04345816464091451,"score_gpt":0.3671325846616532,"score_spread":0.3236744200207387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988815867","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":[0.00015321407,0.9986587,0.00014034442,0.000021379812,0.0002748607,0.000540902,0.00005760951,0.000008862126,0.00014408895],"genre_scores_gemma":[0.000002189705,0.93840176,0.059803437,0.0000069341227,0.00024347568,0.000053770807,0.0010448155,0.000018976749,0.00042461086],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883425,0.0001715555,0.00036317398,0.0003946167,0.000057788948,0.00017863633],"domain_scores_gemma":[0.9994722,0.00001795031,0.00023445257,0.00022268832,0.000022143453,0.000030591695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033529344,0.0002532987,0.00079811784,0.000106392516,0.000022356944,0.000008932647,0.00016735362,0.00087847584,0.0000035443627],"category_scores_gemma":[0.00002450132,0.0001801962,0.00007088318,0.00011965836,0.000056102614,0.000001919402,0.00010833151,0.00021068851,0.0000033563194],"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":[0.000010120771,0.0000307791,0.000024718094,0.0059358506,0.00009394308,0.0000078146,0.00003710052,6.944796e-8,0.006475669,0.00012673666,0.00041677413,0.9868404],"study_design_scores_gemma":[0.00011104891,0.000048439168,0.000012241851,0.00091392617,0.00008153099,0.00018311912,0.000008432701,0.0000011213599,0.017751401,0.000002782504,0.9806714,0.00021455206],"about_ca_topic_score_codex":0.0000039025263,"about_ca_topic_score_gemma":0.00007516445,"teacher_disagreement_score":0.98662585,"about_ca_system_score_codex":0.000014152239,"about_ca_system_score_gemma":0.00024277832,"threshold_uncertainty_score":0.7348188},"labels":[],"label_agreement":null},{"id":"W2995804183","doi":"10.1186/s13007-019-0535-4","title":"Study on measurement method for apple root morphological parameters based on Labview","year":2019,"lang":"en","type":"article","venue":"Plant Methods","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Root (linguistics); Seedling; Root system; Mathematics; Volume (thermodynamics); Horticulture; Biology","score_opus":0.13171700863059663,"score_gpt":0.36789829978301325,"score_spread":0.23618129115241662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995804183","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":[0.40626076,0.00009757983,0.5718939,0.00066543964,0.001182577,0.004207678,0.00011212789,0.00018425337,0.015395684],"genre_scores_gemma":[0.45140973,0.000003299953,0.5466607,0.0013772713,0.000031083317,0.0003641349,0.000014154503,0.000024003082,0.00011561806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972955,0.0009402657,0.0002374385,0.0005631793,0.00059519435,0.00036844233],"domain_scores_gemma":[0.99756813,0.0019055498,0.00007593805,0.000337158,0.000010338434,0.00010290415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057713017,0.00022489135,0.00039616128,0.00003857202,0.00012969678,0.000021909133,0.0002496926,0.00006297615,0.00025744445],"category_scores_gemma":[0.00054691895,0.00015553336,0.00012222986,0.00015681518,0.000032223255,0.000024475698,0.00007682981,0.00015298797,0.00028753877],"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":[0.0033373672,0.005476506,0.68869245,0.00014045314,0.00043632553,0.000090048066,0.0019173054,0.060373053,0.03323557,0.00040810806,0.01199947,0.19389334],"study_design_scores_gemma":[0.0093310755,0.016335668,0.7112228,0.00019058133,0.0004472397,0.000021982796,0.0022508465,0.07936953,0.051150896,0.0026022545,0.12454444,0.0025326693],"about_ca_topic_score_codex":0.00013698968,"about_ca_topic_score_gemma":0.00003144273,"teacher_disagreement_score":0.19136067,"about_ca_system_score_codex":0.00014075996,"about_ca_system_score_gemma":0.0000067218202,"threshold_uncertainty_score":0.6342466},"labels":[],"label_agreement":null},{"id":"W3016596945","doi":"10.1186/s13007-020-00591-8","title":"The BELT and phenoSEED platforms: shape and colour phenotyping of seed samples","year":2020,"lang":"en","type":"article","venue":"Plant Methods","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"College of Agriculture and Bioresources, University of Saskatchewan; Canada First Research Excellence Fund","keywords":"Python (programming language); Workflow; Software; Computer science; Data acquisition; Artificial intelligence; Computer vision; Database","score_opus":0.07391399015090423,"score_gpt":0.2986410514277078,"score_spread":0.22472706127680359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016596945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968444,0.00088180735,0.0000644598,0.001722298,0.000040499697,0.00009561289,0.00004631083,0.000019933252,0.0002846576],"genre_scores_gemma":[0.99633133,0.00021466518,0.002742614,0.00057713414,0.00008333122,0.0000039665942,0.000026464953,5.276849e-7,0.000019948058],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99949217,0.00009398416,0.00012647192,0.00013037119,0.000049862065,0.000107133725],"domain_scores_gemma":[0.9981287,0.0017045471,0.000068268935,0.000017995859,0.000020065785,0.00006039223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003226266,0.00006639267,0.00013759435,0.0000033301314,0.00016199054,0.000019111241,0.00008781666,0.000044715318,0.000028600418],"category_scores_gemma":[0.00021381961,0.000020758103,0.000019546564,0.00009649474,0.000081047925,0.00003267297,0.000046704405,0.00006337404,8.135398e-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":[0.00007761605,0.0000065299264,0.0012704299,0.000010904788,0.0000127662415,3.4423377e-7,0.0005269011,4.8154715e-7,0.7474058,0.0023893523,0.00009020602,0.24820867],"study_design_scores_gemma":[0.00042466092,0.00044504597,0.8722009,0.00002669815,0.000029812723,0.000016636337,0.003398949,0.014087349,0.033459723,0.009757881,0.065855555,0.0002967983],"about_ca_topic_score_codex":0.00004008739,"about_ca_topic_score_gemma":0.000017830136,"teacher_disagreement_score":0.87093043,"about_ca_system_score_codex":0.0000017439717,"about_ca_system_score_gemma":0.0000043608134,"threshold_uncertainty_score":0.12459166},"labels":[],"label_agreement":null},{"id":"W3026109828","doi":"10.1186/s13007-020-00610-8","title":"The effect of probe geometry on rind puncture resistance testing of maize stalks","year":2020,"lang":"en","type":"article","venue":"Plant Methods","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"New York University Abu Dhabi; York University; U.S. Department of Agriculture; National Institute of Food and Agriculture; Division of Civil, Mechanical and Manufacturing Innovation; National Science Foundation","keywords":"Penetration (warfare); Stalk; Penetration depth; Modulus; Materials science; Penetration test; Mathematics; Geometry; Agronomy; Horticulture; Composite material; Biology; Optics; Physics","score_opus":0.04671415098909221,"score_gpt":0.28830765130783187,"score_spread":0.24159350031873966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026109828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99684656,0.0002762526,0.000044197153,0.00067551475,0.00006066086,0.00016184906,0.000076844226,0.000019898673,0.0018382501],"genre_scores_gemma":[0.9965679,0.000007888144,0.0032007508,0.000059154812,0.00007629943,0.000004495562,0.000006983227,5.138807e-7,0.00007600577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895823,0.000397968,0.00019107098,0.00016560014,0.00014975718,0.00013740253],"domain_scores_gemma":[0.9944794,0.0052762474,0.00011108655,0.00005597027,0.00002786995,0.00004941942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010389761,0.00009206382,0.00021449904,0.0000033269093,0.000099759614,0.000013587123,0.00019904447,0.00005649776,0.00003024301],"category_scores_gemma":[0.0018513264,0.000023211838,0.00007148951,0.00026990703,0.0000563159,0.000016653601,0.0000480666,0.000136168,0.0000010535489],"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":[0.0008222046,0.000023132323,0.034925897,0.00012685872,0.00002150011,0.0000036537317,0.000134277,0.000005456182,0.7176703,0.00015603933,0.0003054966,0.24580517],"study_design_scores_gemma":[0.0001709333,0.001201895,0.4229857,0.00008157982,0.000025501848,0.0000017887844,0.00011011716,0.00014382078,0.5556356,0.00050701614,0.01899298,0.00014307554],"about_ca_topic_score_codex":0.000038833623,"about_ca_topic_score_gemma":0.00005298389,"teacher_disagreement_score":0.38805982,"about_ca_system_score_codex":0.0000046557643,"about_ca_system_score_gemma":0.0000036021977,"threshold_uncertainty_score":0.22163443},"labels":[],"label_agreement":null},{"id":"W3049318351","doi":"10.1186/s13007-020-00655-9","title":"Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant growth regulators on somatic embryogenesis of chrysanthemum, as a case study","year":2020,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"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":"Somatic embryogenesis; Multilayer perceptron; Machine learning; Artificial intelligence; Explant culture; Support vector machine; Computer science; Artificial neural network; Biology; Genetics","score_opus":0.05292466439179416,"score_gpt":0.33175667288087723,"score_spread":0.27883200848908307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049318351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9466216,0.00031027864,0.05158661,0.000026123671,0.000018013987,0.0008909323,0.00053459965,0.0000065381755,0.000005286232],"genre_scores_gemma":[0.9721299,0.0000071496015,0.02685309,0.000027432989,0.00005060385,0.000078610115,0.00083592645,0.000010203621,0.000007112429],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867606,0.00026929818,0.00042198124,0.00031330687,0.0001669486,0.00015241196],"domain_scores_gemma":[0.9993245,0.00012164897,0.00026799366,0.0001427868,0.00007615768,0.00006688569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047360896,0.0002316174,0.0005766242,0.00004679059,0.0001224493,0.000009668275,0.00011192019,0.00009220733,9.039248e-7],"category_scores_gemma":[0.000060137903,0.00012628057,0.00008186342,0.00018250808,0.00004404623,0.000004221133,0.000027093729,0.000064718435,5.01713e-8],"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":[0.003200046,0.00015470585,0.0006997779,0.00045325336,0.0013570929,0.000029128329,0.0055969544,0.3759018,0.612212,0.000040001047,0.00010704422,0.0002482092],"study_design_scores_gemma":[0.0004494579,0.0013148142,0.000020159054,0.00003107339,0.000745578,0.00006972605,0.0005498583,0.41595894,0.58071345,0.0000021335675,0.000018815312,0.00012599777],"about_ca_topic_score_codex":0.00006140335,"about_ca_topic_score_gemma":0.0010106198,"teacher_disagreement_score":0.04005716,"about_ca_system_score_codex":0.000006327656,"about_ca_system_score_gemma":0.00014543466,"threshold_uncertainty_score":0.51495725},"labels":[],"label_agreement":null},{"id":"W3087799771","doi":"10.1186/s13007-020-00670-w","title":"The effect of plant weight on estimations of stalk lodging resistance","year":2020,"lang":"en","type":"article","venue":"Plant Methods","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"U.S. Department of Agriculture; National Institute of Food and Agriculture; Canada First Research Excellence Fund; National Science Foundation","keywords":"Stalk; Flexural strength; Bending; Stiffness; Structural engineering; Mathematics; Bending stiffness; Computer science; Engineering; Horticulture; Biology","score_opus":0.03371885338069056,"score_gpt":0.293811400806971,"score_spread":0.2600925474262804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087799771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943559,0.0003246986,0.00027830436,0.0020591686,0.000093706294,0.0001554206,0.00034529026,0.00002518999,0.0023622944],"genre_scores_gemma":[0.9977886,0.000030388148,0.0019919444,0.000047673046,0.00005266799,0.0000050880744,0.000029062658,3.7465236e-7,0.00005417792],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991707,0.00031637598,0.0001770649,0.000117290954,0.00011679938,0.000101735975],"domain_scores_gemma":[0.99627084,0.003543562,0.00008336883,0.000046476274,0.000014249198,0.000041519266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067775673,0.00006619841,0.00016198524,0.0000028802558,0.000113578324,0.000010257956,0.00015521834,0.00003098503,0.000040028302],"category_scores_gemma":[0.00047157746,0.000017969289,0.00006391352,0.00012092297,0.000047727342,0.000018741961,0.000027298694,0.00007573505,0.000001416091],"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":[0.0017428782,0.000057914778,0.011272329,0.00014113939,0.000056974164,0.000007277465,0.0005788532,0.000042814445,0.6997285,0.0028672863,0.0031907836,0.28031325],"study_design_scores_gemma":[0.0002785246,0.0011100766,0.12896551,0.00013331336,0.000047206144,0.0000025895656,0.00013805224,0.0033142339,0.7747322,0.0008781695,0.0901852,0.0002149542],"about_ca_topic_score_codex":0.000033193926,"about_ca_topic_score_gemma":0.00008512672,"teacher_disagreement_score":0.2800983,"about_ca_system_score_codex":0.000004108119,"about_ca_system_score_gemma":0.000002920618,"threshold_uncertainty_score":0.08735642},"labels":[],"label_agreement":null},{"id":"W3092862529","doi":"10.1186/s13007-020-00679-1","title":"Evaluation of duplicated reference genes for quantitative real-time PCR analysis in genome unknown hexaploid oat (Avena sativa L.)","year":2020,"lang":"en","type":"article","venue":"Plant Methods","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"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":"State Administration of Foreign Experts Affairs; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; University of Alberta","keywords":"Biology; Avena; Gene; Reference genes; Genome; Genetics; Candidate gene; eIF4A; Real-time polymerase chain reaction; Gene expression; Computational biology; Botany","score_opus":0.11069956165048364,"score_gpt":0.41599257784131327,"score_spread":0.3052930161908296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092862529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5092238,0.00083051284,0.487205,0.00032834732,0.000010059143,0.00091907615,0.00046556577,0.000027706674,0.0009899227],"genre_scores_gemma":[0.5579528,0.00064376096,0.43780947,0.00011635732,0.00003392807,0.00041926137,0.0029668293,0.000020340864,0.00003722246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99831676,0.0006186827,0.0003346322,0.00043747303,0.0001301606,0.00016231489],"domain_scores_gemma":[0.99906385,0.00009931007,0.00019242792,0.00029146692,0.000293859,0.000059098937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016440599,0.00013921646,0.00030754574,0.00009163788,0.000036633,0.000006341134,0.00020224896,0.00016836183,0.000029581788],"category_scores_gemma":[0.00037514506,0.00012838704,0.00012541465,0.00042791685,0.000057521203,0.0000026723797,0.000068138885,0.00006195678,0.0000022718098],"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":[0.000086605534,0.000038646613,0.00027310677,0.000013756,0.00025511216,2.2002185e-7,0.0000643457,0.00048091708,0.9939742,0.00079710095,0.00005073067,0.0039652516],"study_design_scores_gemma":[0.00045985624,0.00038770912,0.004869407,0.000007002859,0.00065095146,0.0000017159015,0.000039781848,0.033870053,0.9507637,0.0007416184,0.007972953,0.00023522844],"about_ca_topic_score_codex":0.000058284622,"about_ca_topic_score_gemma":0.00003242621,"teacher_disagreement_score":0.04939552,"about_ca_system_score_codex":0.000018258594,"about_ca_system_score_gemma":0.000083553976,"threshold_uncertainty_score":0.5235471},"labels":[],"label_agreement":null},{"id":"W3103940335","doi":"10.1186/s13007-021-00707-8","title":"Continuous monitoring of plant sodium transport dynamics using clinical PET","year":2021,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant nutrient uptake and metabolism","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":"University of Melbourne; National Imaging Facility","keywords":"Hordeum vulgare; Nutrient; Sodium; Shoot; TRACER; Chemistry; Botany; Biology; Poaceae; Physics","score_opus":0.09668203665942274,"score_gpt":0.3524431976868484,"score_spread":0.25576116102742563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103940335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948901,0.00092632696,0.00077448116,0.000081909624,0.0013201709,0.00009421306,0.0014744082,0.000042066098,0.00039634097],"genre_scores_gemma":[0.7927227,0.0051116473,0.19785431,0.0001524333,0.0016415092,0.000008683083,0.0018194559,0.000004946818,0.00068433536],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99823344,0.00039906,0.00054331444,0.00031715483,0.0002033093,0.00030373756],"domain_scores_gemma":[0.9987283,0.0008069961,0.00018030265,0.00007857809,0.000074873125,0.00013098276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001244543,0.00015134491,0.00051787554,0.00001380962,0.00009032156,0.000016647879,0.00019153839,0.00011326122,0.000056522273],"category_scores_gemma":[0.00013069817,0.00006591885,0.00020504303,0.0002250241,0.00004730377,0.000068830625,0.0000407662,0.00021007202,0.0000025982572],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000171958,0.00033331916,0.3537545,0.00002485585,0.00009446451,0.00052625895,0.00008677828,0.0000071943705,0.49065378,0.0010326928,0.00010421266,0.15320997],"study_design_scores_gemma":[0.0009231186,0.00022715882,0.56442636,0.00027423265,0.00035949852,0.0012552626,0.0017119242,0.0031968108,0.16165276,0.00060528715,0.26457164,0.00079595717],"about_ca_topic_score_codex":0.00009958914,"about_ca_topic_score_gemma":0.000055461704,"teacher_disagreement_score":0.32900104,"about_ca_system_score_codex":0.000012233954,"about_ca_system_score_gemma":0.000029423138,"threshold_uncertainty_score":0.26880926},"labels":[],"label_agreement":null},{"id":"W3126523341","doi":"10.1186/s13007-021-00714-9","title":"A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture","year":2021,"lang":"en","type":"article","venue":"Plant Methods","topic":"Cancer Treatment and Pharmacology","field":"Medicine","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":"Paclitaxel; Elicitor; Cell culture; Artificial neural network; Extracellular; Algorithm; Botany; Biology; Chemistry; Mathematics; Biochemistry; Computer science; Machine learning; Chemotherapy","score_opus":0.06050506789970764,"score_gpt":0.3522622749619371,"score_spread":0.2917572070622295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126523341","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":[0.059085246,0.0036123125,0.93497497,0.00054927124,0.00029428923,0.000695645,0.00022822552,0.000042983884,0.00051708595],"genre_scores_gemma":[0.014840609,0.0004733037,0.98308384,0.0006655195,0.00021392149,0.000052167205,0.00030852598,0.000023993827,0.0003380938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988853,0.00021883695,0.0002056998,0.00034606922,0.00008439721,0.00025971915],"domain_scores_gemma":[0.9990864,0.00057922,0.00008974251,0.00009506125,0.00004291503,0.00010668418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040053457,0.00018196415,0.0003658592,0.00007493508,0.00010718935,0.00002291721,0.00002585421,0.00008985496,0.000017087119],"category_scores_gemma":[0.000068535956,0.00014383641,0.000054921675,0.00009520456,0.00002231229,0.000037177808,0.000027577074,0.0001439344,8.2096925e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013695741,0.00021665382,0.00100371,0.00025682375,0.000071279086,0.00028029454,0.0004876754,0.72769755,0.016975297,0.000010894791,0.002069459,0.24956076],"study_design_scores_gemma":[0.0028310227,0.00022052703,0.000050510804,0.00016932513,0.00016745488,0.00008971502,0.00003656414,0.9787377,0.017304141,0.000059929047,0.00019311365,0.00014001325],"about_ca_topic_score_codex":0.00001642002,"about_ca_topic_score_gemma":0.000005109875,"teacher_disagreement_score":0.2510401,"about_ca_system_score_codex":0.000054703032,"about_ca_system_score_gemma":0.000059679565,"threshold_uncertainty_score":0.58654785},"labels":[],"label_agreement":null},{"id":"W3142885314","doi":"10.1186/s13007-021-00731-8","title":"Isotope ratio-based quantification of carbon assimilation highlights the role of plastidial isoprenoid precursor availability in photosynthesis","year":2021,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"Chemical Sciences, Geosciences, and Biosciences Division; Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Utah State University; U.S. Department of Energy","keywords":"Photosynthesis; Isotopes of carbon; Assimilation (phonology); Chemistry; Botany; ATP synthase; Chloroplast; Mutant; Metabolism; Biochemistry; Metabolic pathway; Carbon fibers; Biology; Environmental chemistry; Total organic carbon; Enzyme; Gene","score_opus":0.01833097491587984,"score_gpt":0.27363416201623686,"score_spread":0.25530318710035704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142885314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99495137,0.0006082776,0.0025891191,0.00014864016,0.00008947317,0.00019908648,0.0003509137,0.0000069968105,0.0010560973],"genre_scores_gemma":[0.990882,0.000086401786,0.008501745,0.000016078851,0.000053579206,0.00002614525,0.0003777442,0.000008512116,0.000047815305],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982621,0.0006822254,0.00041496786,0.00034392168,0.00014799515,0.00014876599],"domain_scores_gemma":[0.9987148,0.00047398385,0.00024319279,0.00042907384,0.00010593459,0.00003303017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094202167,0.00014380415,0.00024307,0.00003732178,0.000035844118,0.000008825914,0.00018507603,0.00020341777,0.000028898115],"category_scores_gemma":[0.0008800496,0.00011108582,0.00009413493,0.00016725896,0.00008454049,0.000003736617,0.00004055868,0.000080404265,5.6292555e-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":[0.00032762607,0.00015958407,0.0063031814,0.00006182386,0.000029605224,9.1288393e-7,0.000047799924,0.00014649158,0.9905357,0.000039418926,0.000022983446,0.002324867],"study_design_scores_gemma":[0.00017740269,0.000047597983,0.006739426,0.000041810657,0.00004085176,0.0000048627926,0.00005491463,0.004113101,0.9855262,0.000056072786,0.0030738441,0.00012388676],"about_ca_topic_score_codex":0.000047529284,"about_ca_topic_score_gemma":0.000108610766,"teacher_disagreement_score":0.005912626,"about_ca_system_score_codex":0.0000129825,"about_ca_system_score_gemma":0.00016952603,"threshold_uncertainty_score":0.45299482},"labels":[],"label_agreement":null},{"id":"W3208989175","doi":"10.1186/s13007-021-00808-4","title":"Genome-wide screening of novel RT-qPCR reference genes for study of GLRaV-3 infection in wine grapes and refinement of an RNA isolation protocol for grape berries","year":2021,"lang":"en","type":"article","venue":"Plant Methods","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Food Inspection Agency; University of Guelph","keywords":"Wine; Biology; Isolation (microbiology); Gene; RNA extraction; Computational biology; Vitis vinifera; Wine grape; Genome; Genetics; RNA; RNA-Seq; Horticulture; Bioinformatics; Food science; Gene expression; Transcriptome","score_opus":0.08406685602054495,"score_gpt":0.4204626815214444,"score_spread":0.3363958255008994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208989175","genre_codex":"empirical","genre_gemma":"methods","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":[0.5196891,0.000029270452,0.47029263,0.0000132670975,0.000004203973,0.009879247,0.00007632708,0.000003100936,0.000012886541],"genre_scores_gemma":[0.26008183,0.000029806306,0.7064618,0.000015692513,0.00002124356,0.03292367,0.0004437712,0.0000110266255,0.000011188862],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992265,0.00009950568,0.00032282373,0.00022696356,0.00004112694,0.00008307724],"domain_scores_gemma":[0.9993855,0.000054920678,0.0002114715,0.00018121136,0.00014889918,0.000018036275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048665275,0.00008638396,0.00019113725,0.000058147078,0.000032238404,0.0000031598577,0.000057185982,0.000090656125,0.000001289318],"category_scores_gemma":[0.00008784648,0.000080391685,0.000036404683,0.00008615816,0.000034476176,0.0000034708912,0.000050725288,0.000030432808,2.3490327e-9],"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":[0.00023465607,0.0003484399,0.010632167,0.0001289974,0.000040783074,7.169318e-8,0.00005816532,0.000063512925,0.9820616,0.00013880989,0.000003921487,0.00628885],"study_design_scores_gemma":[0.0012000545,0.0014916193,0.044995133,0.000026370908,0.00003197743,0.000002786285,0.000072052826,0.0006651786,0.9471165,0.00020094276,0.004108967,0.00008844549],"about_ca_topic_score_codex":0.000088023065,"about_ca_topic_score_gemma":0.00021257157,"teacher_disagreement_score":0.25960726,"about_ca_system_score_codex":0.0000027604221,"about_ca_system_score_gemma":0.000026211246,"threshold_uncertainty_score":0.32782778},"labels":[],"label_agreement":null},{"id":"W4210377044","doi":"10.1186/s13007-022-00842-w","title":"An efficient overexpression method for studying genes in Ricinus that transport vectorized agrochemicals","year":2022,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Yangtze University; National Natural Science Foundation of China; National Science Foundation","keywords":"Phloem; Green fluorescent protein; Agrobacterium tumefaciens; Agrobacterium; Transporter; Agroinfiltration; Gene; Biology; Subcellular localization; Cell biology; Transformation (genetics); Infiltration (HVAC); Biochemistry; Chemistry; Biophysics; Botany; Gene expression","score_opus":0.06641415147694821,"score_gpt":0.3341362300374892,"score_spread":0.267722078560541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210377044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98741233,0.0011308308,0.00946651,0.00010757067,0.00038609034,0.0006199982,0.0007251255,0.00007478713,0.0000767508],"genre_scores_gemma":[0.78229964,0.00021143573,0.21507719,0.000316895,0.00033510025,0.00051654014,0.0011336392,0.000004529991,0.00010501091],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99769557,0.00081875426,0.00029632656,0.00048092016,0.00030641587,0.00040199052],"domain_scores_gemma":[0.99841076,0.0012443535,0.00012285936,0.000084865445,0.000019485682,0.000117655036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026249068,0.00018423908,0.0003988062,0.000040907955,0.00031127065,0.00001927384,0.00035903387,0.000073597635,0.00013662547],"category_scores_gemma":[0.00004049676,0.00007955238,0.0001294762,0.00033983192,0.0000125766555,0.00005920807,0.00006120721,0.00018974328,6.726154e-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":[0.00030024975,0.00026663954,0.0023012988,0.000006243622,0.000008861773,0.000008226628,0.00027121772,0.00029775576,0.92514646,0.00010954203,0.00006870668,0.071214795],"study_design_scores_gemma":[0.0015453398,0.00043149677,0.059255138,0.000045395143,0.00007721294,0.000058645623,0.0014930598,0.010094767,0.5884482,0.0005680124,0.33733422,0.00064850517],"about_ca_topic_score_codex":0.00015383368,"about_ca_topic_score_gemma":0.000017085235,"teacher_disagreement_score":0.33726552,"about_ca_system_score_codex":0.000036035362,"about_ca_system_score_gemma":0.000011555969,"threshold_uncertainty_score":0.3244052},"labels":[],"label_agreement":null},{"id":"W4220850197","doi":"10.1186/s13007-022-00873-3","title":"Design and fabrication of an improved dynamic flow cuvette for 13CO2 labeling in Arabidopsis plants","year":2022,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","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":"St. Michael's Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Cuvette; Photosynthetically active radiation; Biological system; Photosynthesis; Botany; Environmental science; Chemistry; Physics; Biology; Optics","score_opus":0.023129160811019882,"score_gpt":0.30756333648119416,"score_spread":0.28443417567017426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220850197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8690696,0.0005015712,0.12919737,0.000048203197,0.00008192774,0.00030703846,0.0007663996,0.000009045326,0.000018843639],"genre_scores_gemma":[0.5647045,0.00013797954,0.4338369,0.00007559878,0.000035065932,0.0001152173,0.0010179599,0.000014185184,0.0000625761],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998957,0.0003006382,0.0002015058,0.00030873326,0.00006228351,0.00016987763],"domain_scores_gemma":[0.99949193,0.00016827234,0.00010264852,0.00017564082,0.000020250569,0.0000412347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011776013,0.00011243661,0.0001658341,0.00004968661,0.000076514574,0.0000074550753,0.00015119943,0.00008461915,0.000005903728],"category_scores_gemma":[0.00015423326,0.000113291586,0.00003282411,0.00006247477,0.000022299968,0.0000036935294,0.00007249982,0.00007383275,7.595094e-8],"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":[0.0004710279,0.000059009155,0.0001198753,0.000036971465,0.000025578745,0.0000014868511,0.000048180736,0.00057740987,0.9741545,0.0000010309781,0.000048721977,0.024456222],"study_design_scores_gemma":[0.00037078725,0.00021073702,0.00026674176,0.000008630936,0.000019131901,0.000043500255,0.000088099856,0.14032462,0.85733753,0.0000657005,0.0011169021,0.00014762161],"about_ca_topic_score_codex":0.000011648986,"about_ca_topic_score_gemma":0.000006219284,"teacher_disagreement_score":0.30463955,"about_ca_system_score_codex":0.000014011616,"about_ca_system_score_gemma":0.000037097867,"threshold_uncertainty_score":0.46198967},"labels":[],"label_agreement":null},{"id":"W4243702480","doi":"10.1186/s13007-019-0539-0","title":"Correction to: An optimised CRISPR/Cas9 protocol to create targeted mutations in homoeologous genes and an efficient genotyping protocol to identify edited events in wheat","year":2019,"lang":"en","type":"erratum","venue":"Plant Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","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":"National Research Council Canada; Plant Biotechnology Institute; Communications Research Centre Canada; University of Ottawa; International Development Research Centre","funders":"","keywords":"CRISPR; Majesty; Protocol (science); Line (geometry); Genetics; Biology; Genotyping; Computational biology; Gene; Biotechnology; Computer science; Political science; Genotype; Medicine; Mathematics; Law","score_opus":0.021237802457908267,"score_gpt":0.4313073517547088,"score_spread":0.4100695492968005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243702480","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038969234,0.000087391265,0.28412107,0.000086363936,0.009884295,0.6661031,0.00025159513,0.00009243282,0.0004044766],"genre_scores_gemma":[0.0012749399,0.0000081891985,0.12711193,0.00019519191,0.0011013242,0.8650262,0.0014786853,0.0001399021,0.0036636721],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99698526,0.00057551486,0.0005947262,0.0010717497,0.00021389277,0.00055886403],"domain_scores_gemma":[0.9987881,0.0000555601,0.00011500891,0.0005726878,0.00012517723,0.00034344348],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010526889,0.00047354968,0.0005257556,0.00065187505,0.00008244184,0.00006177042,0.00032081667,0.000510604,0.00001634889],"category_scores_gemma":[0.00039852498,0.0004926523,0.00006772695,0.00044769,0.000016595886,0.000008879909,0.00022584884,0.00042754723,0.000007023579],"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":[0.0011339965,0.00035375476,0.00088410726,0.00054718537,0.000058436162,0.000027823642,0.0011333876,0.24049954,0.7216457,8.774889e-7,0.01877731,0.014937846],"study_design_scores_gemma":[0.0046573263,0.0045302194,0.054781273,0.0017668997,0.00011520337,0.00016131326,0.00054554554,0.10386278,0.56981605,0.000020048717,0.2567747,0.0029686568],"about_ca_topic_score_codex":0.0003314566,"about_ca_topic_score_gemma":0.00084848696,"teacher_disagreement_score":0.23799737,"about_ca_system_score_codex":0.00009867324,"about_ca_system_score_gemma":0.00019309048,"threshold_uncertainty_score":0.9997525},"labels":[],"label_agreement":null},{"id":"W4280518047","doi":"10.1186/s13007-022-00894-y","title":"Banana plant counting and morphological parameters measurement based on terrestrial laser scanning","year":2022,"lang":"en","type":"article","venue":"Plant Methods","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","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":"Ministry of Education and Child Care","funders":"Chinese Universities Scientific Fund","keywords":"Point cloud; Mathematics; Horticulture; Mean squared error; Statistics; Biology; Computer science; Artificial intelligence","score_opus":0.06805774634621584,"score_gpt":0.2960238088941735,"score_spread":0.22796606254795768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280518047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9486834,0.000030067993,0.039656837,0.00095946004,0.000434439,0.00044943497,0.00010740852,0.00011709382,0.009561885],"genre_scores_gemma":[0.85139793,0.0000020901973,0.14779803,0.000681967,0.000029106503,0.000015772966,0.000034408138,0.000010489344,0.000030178671],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830115,0.00051019137,0.00016497223,0.0003368456,0.0004647863,0.00022207796],"domain_scores_gemma":[0.999307,0.00034214996,0.00007571786,0.00019088853,0.0000019930974,0.00008226709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022855694,0.00011362157,0.00014047124,0.000038969956,0.0003992632,0.00003403748,0.00012626858,0.00003111236,0.00022112012],"category_scores_gemma":[0.00014015214,0.00009718467,0.000037638674,0.00013559098,0.00007304673,0.000023048331,0.00010608683,0.00022039945,0.000012876057],"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":[0.0010870334,0.0006809309,0.02883681,0.000022482749,0.00009268293,0.00039297272,0.0012274757,0.36486074,0.19306473,0.00012370852,0.039174903,0.37043554],"study_design_scores_gemma":[0.0015252164,0.0004669984,0.033933397,0.00004209613,0.000093241484,0.00023992472,0.00041142732,0.7552647,0.019287514,0.00043028846,0.18758634,0.0007188569],"about_ca_topic_score_codex":0.00046473343,"about_ca_topic_score_gemma":0.000014234534,"teacher_disagreement_score":0.39040396,"about_ca_system_score_codex":0.00016410985,"about_ca_system_score_gemma":0.00001240582,"threshold_uncertainty_score":0.3963076},"labels":[],"label_agreement":null},{"id":"W4283781593","doi":"10.1186/s13007-022-00923-w","title":"Protocol: rhPCR and SNaPshot assays to distinguish Plasmodiophora brassicae pathotype clusters","year":2022,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Food Inspection Agency; University of Alberta","funders":"University of Alberta; Alberta Canola Producers Commission; Alberta Agriculture and Forestry; Results Driven Agriculture Research","keywords":"Clubroot; Biology; Canola; Brassica; Genetics; Biotechnology; Botany","score_opus":0.041831697502659616,"score_gpt":0.3206459925958652,"score_spread":0.27881429509320554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283781593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94861877,0.00029311542,0.00036376412,0.0024185404,0.00059819076,0.03407221,0.004936737,0.00023190389,0.008466744],"genre_scores_gemma":[0.6579476,0.000101666556,0.1638242,0.0108083645,0.00195478,0.15962525,0.003473299,0.000025507583,0.0022393465],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983989,0.00046820487,0.00018982633,0.0003697734,0.00025685297,0.0003164408],"domain_scores_gemma":[0.99913466,0.00047677677,0.0000732756,0.00006876765,0.000020864309,0.00022567232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007766583,0.00015218396,0.00020620768,0.000017444563,0.0004175863,0.000067142995,0.00024075975,0.00004142982,0.00038442426],"category_scores_gemma":[0.0001376942,0.000068388785,0.000053563974,0.00028190654,0.000027300825,0.00002875957,0.0002569283,0.00015137487,0.000005148353],"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":[0.001493456,0.00039115548,0.015132809,0.00013081272,0.00006683798,0.00029215662,0.00048789466,0.0002520594,0.59518725,0.00044617854,0.039828736,0.34629068],"study_design_scores_gemma":[0.00026533694,0.0005281415,0.07351076,0.000032849202,0.000028387516,0.00007290205,0.00035049312,0.00087031815,0.0032353846,0.00086147623,0.91977566,0.00046830202],"about_ca_topic_score_codex":0.000049918068,"about_ca_topic_score_gemma":0.000102058635,"teacher_disagreement_score":0.8799469,"about_ca_system_score_codex":0.000029513656,"about_ca_system_score_gemma":0.000014876552,"threshold_uncertainty_score":0.4209176},"labels":[],"label_agreement":null},{"id":"W4291201934","doi":"10.1186/s13007-022-00932-9","title":"Synchrotron tomography applications in agriculture and food sciences research: a review","year":2022,"lang":"en","type":"review","venue":"Plant Methods","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Light Source (Canada); University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Indian Council of Agricultural Research","keywords":"Synchrotron; Agriculture; Food security; Agricultural engineering; Environmental science; Ecology; Physics; Engineering; Biology; Optics","score_opus":0.28324625868365755,"score_gpt":0.5223706621356552,"score_spread":0.23912440345199765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291201934","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":[1.0858388e-7,0.9775951,0.016779052,0.000031357806,0.000035451427,0.0020723902,0.00033261708,0.000061922576,0.0030919823],"genre_scores_gemma":[3.8493732e-7,0.8279966,0.16803849,0.000012615081,0.000068680194,0.0035908276,0.0002510924,0.000018404868,0.000022914019],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966785,0.0016468152,0.00042067803,0.00060727843,0.00027959753,0.00036716243],"domain_scores_gemma":[0.997736,0.0015753334,0.00023182912,0.0003596908,0.000027277107,0.00006991957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034246603,0.00029206212,0.0010483844,0.0004017327,0.0003069107,0.000052147647,0.00058131444,0.000056545403,0.00009117097],"category_scores_gemma":[0.000057251305,0.0002070972,0.00020942093,0.002029752,0.00019155914,0.00008710135,0.00034987743,0.0010228667,0.0000018373561],"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":[1.4227545e-7,0.000037759106,0.00003380607,0.007083368,0.00003146618,6.083031e-7,0.000017571427,1.03648745e-7,8.352146e-7,0.01021024,0.00094378414,0.98164034],"study_design_scores_gemma":[0.000022156342,0.000039615676,0.000001523954,0.010396067,0.00011505868,0.000005286186,0.00004045893,0.0000011224158,0.000004295662,0.007918502,0.9812302,0.0002257131],"about_ca_topic_score_codex":0.00003256465,"about_ca_topic_score_gemma":0.0000014018278,"teacher_disagreement_score":0.9814146,"about_ca_system_score_codex":0.000052491727,"about_ca_system_score_gemma":0.00013027394,"threshold_uncertainty_score":0.8445179},"labels":[],"label_agreement":null},{"id":"W4296161005","doi":"10.1186/s13007-022-00944-5","title":"Protocol: a simple method for biosensor visualization of bacterial quorum sensing and quorum quenching interaction on Medicago roots","year":2022,"lang":"en","type":"article","venue":"Plant Methods","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","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":"Université de Sherbrooke; University of Delaware; U.S. Department of Agriculture","keywords":"Quorum sensing; Rhizosphere; Rhizobacteria; Bacteria; Biology; Quorum Quenching; Agrobacterium; Autoinducer; Agrobacterium tumefaciens; Microbiology; Botany; Biofilm; Biochemistry; Transformation (genetics)","score_opus":0.029625476781005636,"score_gpt":0.3861681387211618,"score_spread":0.35654266194015616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296161005","genre_codex":"empirical","genre_gemma":"methods","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":[0.5859025,0.00003771355,0.38511035,0.0006268388,0.002264656,0.024826314,0.00078420254,0.000079306694,0.00036808706],"genre_scores_gemma":[0.17106803,0.000014864831,0.81993604,0.00080044894,0.0011816481,0.0044535096,0.0023070031,0.00012764601,0.00011079638],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979325,0.00090100436,0.00037498787,0.0004039269,0.00013434576,0.00025322623],"domain_scores_gemma":[0.99916387,0.00021728713,0.00030098663,0.00019589727,0.000054926175,0.00006703315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015689299,0.00018090193,0.0002762627,0.000104528815,0.0002458525,0.00003258577,0.00007409202,0.000114702256,0.000028092838],"category_scores_gemma":[0.00037806112,0.00017149592,0.00008565678,0.00009310468,0.000031695316,0.0000075206012,0.00015269402,0.00011082344,1.8502533e-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":[0.0012154886,0.000044829583,0.000028814602,0.00006124209,0.000045056702,0.0000014661641,0.000119038734,0.0000344205,0.9414777,0.00016854405,0.0005919587,0.056211434],"study_design_scores_gemma":[0.00080133503,0.0007951098,0.00008163683,0.000026516598,0.000029020512,0.00008203807,0.00022282464,0.0052087605,0.7853052,0.000051152092,0.20720947,0.00018694955],"about_ca_topic_score_codex":0.00011570234,"about_ca_topic_score_gemma":0.000047930935,"teacher_disagreement_score":0.4348257,"about_ca_system_score_codex":0.000025568657,"about_ca_system_score_gemma":0.00005620599,"threshold_uncertainty_score":0.69934005},"labels":[],"label_agreement":null},{"id":"W4310702642","doi":"10.1186/s13007-022-00964-1","title":"A technical guide to TRITEX, a computational pipeline for chromosome-scale sequence assembly of plant genomes","year":2022,"lang":"en","type":"article","venue":"Plant Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","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 Manitoba; University of Saskatchewan","funders":"Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Pipeline (software); Sequence (biology); Genome; Scale (ratio); Computational biology; Whole genome sequencing; Biology; Chromosome; Sequence assembly; Computer science; Genetics; Geography; Gene; Cartography; Programming language","score_opus":0.03949373002115065,"score_gpt":0.3591816859420598,"score_spread":0.31968795592090915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310702642","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":[0.2698926,0.0028042833,0.7153682,0.00069193094,0.00039910662,0.0011143945,0.009091846,0.000014056645,0.0006235981],"genre_scores_gemma":[0.2037861,0.00009363326,0.79410017,0.00045251902,0.00015016434,0.0003075485,0.0007956152,0.000021093623,0.00029317767],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989103,0.00013279924,0.00031506977,0.0003141059,0.00012738192,0.0002003639],"domain_scores_gemma":[0.9994103,0.00016941105,0.000097561904,0.00018856082,0.00006945957,0.00006475458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007982098,0.00012436758,0.00024307385,0.00005722325,0.00012597143,0.000006462669,0.00023742205,0.00004749171,0.00001136646],"category_scores_gemma":[0.000100517354,0.00012241326,0.00010337401,0.00009848814,0.000034668676,3.8851203e-7,0.00029174637,0.000060977207,5.5439256e-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":[0.00018020759,0.000065131586,0.00016618964,0.00002130484,0.00003873771,0.0000018588141,0.000077667784,0.005238806,0.9823392,0.00012583286,0.00656041,0.00518463],"study_design_scores_gemma":[0.0009422869,0.0009812438,0.0009239619,0.000009493381,0.000057490714,0.00018383612,0.00017539556,0.0071992376,0.29253358,0.0006355191,0.696002,0.00035596426],"about_ca_topic_score_codex":0.000015352898,"about_ca_topic_score_gemma":0.000011022994,"teacher_disagreement_score":0.6898057,"about_ca_system_score_codex":0.000023804589,"about_ca_system_score_gemma":0.000100287085,"threshold_uncertainty_score":0.49918678},"labels":[],"label_agreement":null},{"id":"W4317234249","doi":"10.1186/s13007-023-00983-6","title":"Establishment of an efficient cotton root protoplast isolation protocol suitable for single-cell RNA sequencing and transient gene expression analysis","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Shanxi Agricultural University; Hebei Agricultural University; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Natural Science Foundation of Hebei Province; Chinese Academy of Sciences; Institute of Genetics; National Natural Science Foundation of China; Capital Normal University","keywords":"Protoplast; Biology; Functional genomics; Transfection; Gene; Computational biology; Transformation (genetics); Plasmid; Genome; Genomics; Cell biology; Molecular biology; Genetics","score_opus":0.10261163985277394,"score_gpt":0.3659118663131285,"score_spread":0.26330022646035456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317234249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95316553,0.000005490478,0.019071205,0.000065294924,0.000031367985,0.027295483,0.00015841835,0.00006596986,0.00014125854],"genre_scores_gemma":[0.806059,0.000003136632,0.14444116,0.000011865056,0.00012809673,0.048348114,0.00084675656,0.0000043929253,0.00015748461],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981506,0.00047100175,0.0003423238,0.00038226295,0.00034727715,0.00030651788],"domain_scores_gemma":[0.99862665,0.00086897623,0.00017538702,0.00007899582,0.00013697275,0.0001129916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026974962,0.00012730752,0.00023773986,0.00009162511,0.00019138139,0.00008309996,0.00014079399,0.00008936875,0.000034762183],"category_scores_gemma":[0.0002194005,0.00005487158,0.00007860461,0.0010154219,0.000030958316,0.00015570382,0.000049825434,0.00007989154,6.8193737e-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":[0.00015736063,0.00011715443,0.0011892499,0.000082921564,0.000015883705,9.3332665e-7,0.00031549143,0.004859565,0.9787869,0.0000061830315,0.000044196302,0.014424187],"study_design_scores_gemma":[0.00028098584,0.0005258216,0.006565637,0.00003349275,0.000030236748,0.0000011847391,0.00027028003,0.11689835,0.87403136,0.00003673067,0.0012121935,0.000113743496],"about_ca_topic_score_codex":0.00010573963,"about_ca_topic_score_gemma":0.00006918509,"teacher_disagreement_score":0.14710651,"about_ca_system_score_codex":0.00006496582,"about_ca_system_score_gemma":0.000016773434,"threshold_uncertainty_score":0.22375982},"labels":[],"label_agreement":null},{"id":"W4319265422","doi":"10.1186/s13007-023-00990-7","title":"3D-GBS: a universal genotyping-by-sequencing approach for genomic selection and other high-throughput low-cost applications in species with small to medium-sized genomes","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Government of Canada; Université Laval; Grain Farmers of Ontario; Génome Québec; Canadian Field Crop Research Alliance; Genome Canada","keywords":"Genotyping; Throughput; Selection (genetic algorithm); Genome; Genomic selection; Computational biology; Biology; DNA sequencing; Genetics; Computer science; Genotype; DNA; Gene; Single-nucleotide polymorphism; Operating system; Artificial intelligence","score_opus":0.03953621686172864,"score_gpt":0.27590211645913304,"score_spread":0.2363658995974044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319265422","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":[0.48018932,0.0002420694,0.51756585,0.0001060136,0.000043464952,0.00080183486,0.0005368941,0.000038306258,0.00047625307],"genre_scores_gemma":[0.20017453,0.0006525208,0.7946609,0.0004552355,0.00032632993,0.00028618588,0.0015439432,0.000051536663,0.0018487801],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991371,0.000074004776,0.00013059756,0.0003428616,0.00005683056,0.0002586166],"domain_scores_gemma":[0.9996545,0.00006695545,0.000052856438,0.00011807832,0.000031404314,0.000076228236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039566855,0.00014350304,0.00018092679,0.000086467946,0.00013324055,0.000033003736,0.00012447356,0.00009919097,0.000006129272],"category_scores_gemma":[0.000025390595,0.00012619216,0.000027279533,0.00017379408,0.00004358984,0.000002812189,0.00007006876,0.00005799101,0.0000021132225],"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":[0.00027525664,0.000040026676,0.0049910033,0.000100329584,0.00009313998,0.0000012375943,0.0006666478,0.002522847,0.98668355,0.00032576203,0.001070574,0.0032296358],"study_design_scores_gemma":[0.00404745,0.0008130954,0.014548339,0.000089634625,0.00020563298,0.000083295985,0.008866318,0.007531942,0.32913923,0.00024392837,0.6329801,0.0014510261],"about_ca_topic_score_codex":0.0001787587,"about_ca_topic_score_gemma":0.00014543698,"teacher_disagreement_score":0.6575443,"about_ca_system_score_codex":0.000029476289,"about_ca_system_score_gemma":0.00007181662,"threshold_uncertainty_score":0.5145967},"labels":[],"label_agreement":null},{"id":"W4327811616","doi":"10.1186/s13007-023-01004-2","title":"Characterization of leaf surface phenotypes based on light interaction","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Trichome; Phenotype; Linear discriminant analysis; Identification (biology); Wax; Biological system; Biology; Materials science; Botany; Artificial intelligence; Computer science; Genetics","score_opus":0.08136417718330663,"score_gpt":0.2958801553199851,"score_spread":0.2145159781366785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327811616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963896,0.000008743056,0.00022358185,0.001928089,0.0003183053,0.00010625938,0.000039968236,0.000069798574,0.0009156406],"genre_scores_gemma":[0.9981133,0.00002003386,0.0010728956,0.0001965856,0.000100323174,0.0000053696963,0.00020923355,8.6357534e-7,0.0002814462],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992668,0.0002113914,0.00013423827,0.00013421076,0.00014079465,0.00011257828],"domain_scores_gemma":[0.99965453,0.00017653452,0.000069670736,0.000038198326,0.00003311763,0.000027942655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006172911,0.00006739237,0.00010579918,0.000011613565,0.000059606005,0.000015597378,0.000079831196,0.000038944978,0.000190936],"category_scores_gemma":[0.000065276814,0.000023304476,0.000039833467,0.0002319251,0.0000075877606,0.000048788526,0.000016056252,0.00005225737,0.00004403154],"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":[0.00006787141,0.000028066313,0.0006799772,0.000009317031,0.0000041134817,5.017385e-7,0.00004951052,0.000063126776,0.9431308,0.000028263574,0.00013532108,0.05580315],"study_design_scores_gemma":[0.00007416853,0.0002081878,0.048889503,0.000046685538,0.0000076102137,4.913522e-7,0.000064301676,0.00769939,0.88462454,0.000034511268,0.058253806,0.00009677381],"about_ca_topic_score_codex":0.000048188325,"about_ca_topic_score_gemma":0.000012906189,"teacher_disagreement_score":0.058506213,"about_ca_system_score_codex":0.000012158924,"about_ca_system_score_gemma":0.0000032684466,"threshold_uncertainty_score":0.20906152},"labels":[],"label_agreement":null},{"id":"W4361280817","doi":"10.1186/s13007-023-00996-1","title":"Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Greenhouse Technology and Climate Control","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":"McGill University","funders":"Georgia Cotton Commission; Cotton Incorporated; National Science Foundation","keywords":"Computer science; Segmentation; Artificial intelligence; Deep learning; Convolutional neural network; Point cloud; Artificial neural network; Workflow; Pattern recognition (psychology); Inference; Trait; Machine learning","score_opus":0.060205638725321906,"score_gpt":0.31400935483607084,"score_spread":0.2538037161107489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361280817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939745,0.0001305937,0.004036044,0.00080035534,0.00034422116,0.00018956195,0.00025039344,0.00024648753,0.000027823637],"genre_scores_gemma":[0.99402624,0.00006804543,0.004741839,0.00016899926,0.00022878876,0.000023117589,0.0007085667,0.0000017313685,0.000032680662],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988943,0.0002538238,0.00020139288,0.0002496405,0.00010521447,0.00029566832],"domain_scores_gemma":[0.99917716,0.0006181703,0.00009368847,0.00003373856,0.0000162223,0.00006100795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006087294,0.00013135534,0.0001692744,0.000027713668,0.0002734599,0.000032768497,0.000082999926,0.0001374677,0.00009104821],"category_scores_gemma":[0.000044606604,0.00005873653,0.00004798518,0.00020174455,0.000072933355,0.000094214774,0.000041511074,0.00020602775,0.0000043821624],"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":[0.00025227646,0.000043745902,0.0076322127,0.000013888779,0.000053620064,0.00005303158,0.00014595456,0.0019880657,0.64418274,0.0005668674,0.000388307,0.34467933],"study_design_scores_gemma":[0.0004828985,0.00023242482,0.19069822,0.000033875232,0.000074083626,0.0009654004,0.00047298532,0.79930544,0.004240092,0.0013166914,0.0018207894,0.000357077],"about_ca_topic_score_codex":0.00015234094,"about_ca_topic_score_gemma":0.00025450662,"teacher_disagreement_score":0.7973174,"about_ca_system_score_codex":0.00001925926,"about_ca_system_score_gemma":0.00000330987,"threshold_uncertainty_score":0.23952061},"labels":[],"label_agreement":null},{"id":"W4367368962","doi":"10.1186/s13007-023-01009-x","title":"A high quality, high molecular weight DNA extraction method for PacBio HiFi genome sequencing of recalcitrant plants","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Kanagawa University; James Hutton Institute; Sibbald Trust; Japan Society for the Promotion of Science; Scottish Government; Institute of Genetics; Rural and Environment Science and Analytical Services Division; Sumitomo Foundation","keywords":"Biology; Genome; DNA sequencing; DNA; DNA extraction; Extraction (chemistry); Computational biology; Gene; Genetics; Chromatography; Polymerase chain reaction; Chemistry","score_opus":0.06074387987280093,"score_gpt":0.38920947218903795,"score_spread":0.328465592316237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367368962","genre_codex":"empirical","genre_gemma":"methods","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":[0.6898046,0.00073474465,0.30753884,0.00012653967,0.0004927541,0.00034303655,0.0008116697,0.000015910391,0.00013187635],"genre_scores_gemma":[0.457714,0.00078277534,0.5401091,0.00010887451,0.0002626234,0.00009855547,0.00068761705,0.00004672607,0.0001897477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978997,0.00049286784,0.00051535276,0.00052871945,0.00015957937,0.00040379143],"domain_scores_gemma":[0.99884236,0.00032815235,0.00024960062,0.00039832696,0.00009259702,0.000088951754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022276177,0.0002493279,0.00046420807,0.00011740908,0.00010423886,0.000015107003,0.00022282574,0.0002164338,0.000009372289],"category_scores_gemma":[0.00020610247,0.00023139978,0.00020374777,0.00015132666,0.00004773435,0.000001499659,0.00012643787,0.00009380066,0.0000035929759],"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":[0.00019376502,0.000024888384,0.00008604947,0.00009605207,0.00028835033,0.000007863799,0.00015429288,0.00043915433,0.9887428,0.0009947256,0.00015644144,0.008815569],"study_design_scores_gemma":[0.00059807306,0.00021563933,0.003707862,0.000017732833,0.000077439225,0.000030288757,0.00013300238,0.0003311998,0.98018783,0.003922316,0.01047087,0.0003077696],"about_ca_topic_score_codex":0.00021045445,"about_ca_topic_score_gemma":0.00002386517,"teacher_disagreement_score":0.23257025,"about_ca_system_score_codex":0.000028685261,"about_ca_system_score_gemma":0.000078461264,"threshold_uncertainty_score":0.9436209},"labels":[],"label_agreement":null},{"id":"W4381094184","doi":"10.1186/s13007-023-01023-z","title":"Soybean leaf estimation based on RGB images and machine learning methods","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Leaf Properties and Growth Measurement","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":"Ministry of Agriculture","funders":"","keywords":"Random forest; RGB color model; Artificial intelligence; Mathematics; Artificial neural network; Segmentation; Regression; Computer science; Pattern recognition (psychology); Statistics","score_opus":0.10629747561111938,"score_gpt":0.33248582489612805,"score_spread":0.22618834928500867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381094184","genre_codex":"empirical","genre_gemma":"methods","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":[0.8011664,0.003034067,0.13560489,0.03659645,0.0020022746,0.00207372,0.00043345868,0.0029771612,0.016111543],"genre_scores_gemma":[0.4171343,0.00018368546,0.57904387,0.001127167,0.00028231592,0.0000657958,0.0004784563,0.0000062360755,0.0016781783],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981061,0.001027466,0.00016416179,0.00027792656,0.00018142903,0.00024288995],"domain_scores_gemma":[0.99872863,0.0010527512,0.000062060986,0.000049793678,0.00002473556,0.00008205144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032782487,0.0001365638,0.00017708079,0.000027680182,0.00028042245,0.00007426788,0.000107849075,0.00006127011,0.00014694019],"category_scores_gemma":[0.0005827829,0.000048599093,0.000050744875,0.00026822268,0.00003142008,0.000060430266,0.000051956624,0.00017523223,0.00003009547],"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":[0.000041638505,0.000017945573,0.0013276358,0.000016156011,0.00000727562,0.000003529298,0.00007170456,0.00038170916,0.23493268,0.00003607263,0.00036600124,0.76279765],"study_design_scores_gemma":[0.0004248828,0.0008462043,0.076001056,0.000097173055,0.000048727943,0.000012067884,0.00032211383,0.6351972,0.1933448,0.0011469473,0.09202633,0.0005324855],"about_ca_topic_score_codex":0.00016564877,"about_ca_topic_score_gemma":0.00001502342,"teacher_disagreement_score":0.7622652,"about_ca_system_score_codex":0.000015497431,"about_ca_system_score_gemma":0.000004317509,"threshold_uncertainty_score":0.2156811},"labels":[],"label_agreement":null},{"id":"W4385552344","doi":"10.1186/s13007-023-01055-5","title":"Development of cassava common mosaic virus-based vector for protein expression and gene editing in cassava","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Chinese Academy of Tropical Agricultural Sciences; Chinese Academy of Sciences; Institute of Genetics; National Natural Science Foundation of China","keywords":"Phytoene desaturase; Biology; Subgenomic mRNA; Gene; Phytoene synthase; Functional genomics; Genome; Effector; Expression vector; Genetics; Vector (molecular biology); Genome editing; Computational biology; Heterologous; Viral vector; Gene silencing; Gene expression; Genomics; Cell biology; Recombinant DNA","score_opus":0.14671837125493392,"score_gpt":0.37821870132636276,"score_spread":0.23150033007142884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385552344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99751544,0.00013222038,0.00017490856,0.00017403989,0.000049312894,0.0005319506,0.0013554395,0.000045075503,0.000021616679],"genre_scores_gemma":[0.6613413,0.00010027455,0.3355776,0.000060441067,0.0002562617,0.00082703657,0.00169784,0.0000049801724,0.0001342415],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987161,0.00027087645,0.00026569518,0.00023154715,0.00019873372,0.0003170469],"domain_scores_gemma":[0.9985103,0.0012749898,0.0000872799,0.00003487616,0.0000297973,0.00006275425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001847602,0.000115001225,0.000255133,0.000042519783,0.0001758915,0.000017411998,0.00013094301,0.00006627723,0.0000112194075],"category_scores_gemma":[0.00044138284,0.000047194655,0.000029418989,0.00029217705,0.00003739386,0.00004253774,0.00012399498,0.00009595202,0.000002123995],"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":[0.00007692434,0.000025976971,0.0005740149,0.000053251486,0.000006573836,0.0000086957525,0.00016976835,0.0000049029377,0.9559857,0.0000052245036,0.00041032615,0.042678613],"study_design_scores_gemma":[0.00018899565,0.00007211896,0.012230528,0.000121026125,0.0000024736394,0.0000016273,0.00017648279,0.0016006936,0.97125816,0.000063958854,0.014172101,0.000111830326],"about_ca_topic_score_codex":0.00020847513,"about_ca_topic_score_gemma":0.0014948706,"teacher_disagreement_score":0.33617413,"about_ca_system_score_codex":0.000027355352,"about_ca_system_score_gemma":0.00001785227,"threshold_uncertainty_score":0.19245422},"labels":[],"label_agreement":null},{"id":"W4385751373","doi":"10.1186/s13007-023-01052-8","title":"A new and effective method to induce infection of Phyllachora maydis into corn for tar spot studies in controlled environments","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Disease Resistance and Genetics","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":"Minnesota Invasive Terrestrial Plants and Pests Center, University of Minnesota; Louisiana State University; University of Minnesota","keywords":"Inoculation; Spore; Conidium; Biology; tar (computing); Horticulture; Leaf spot; Fungus; Obligate; Spots; Botany; Agronomy","score_opus":0.059992052558038335,"score_gpt":0.389439764530417,"score_spread":0.32944771197237865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385751373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99252963,0.00063884695,0.0053984234,0.00017971927,0.00009061918,0.0009822819,0.00014236626,0.000018406927,0.000019715944],"genre_scores_gemma":[0.8020714,0.0021966635,0.19383667,0.0002468405,0.00027956086,0.0007008256,0.00018923245,0.0000046724326,0.00047415533],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989044,0.00039898025,0.0001909554,0.00023510076,0.00009623827,0.0001743032],"domain_scores_gemma":[0.9973914,0.002406741,0.000071308255,0.000031845095,0.0000128869415,0.00008582503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011423064,0.000114694376,0.00038997194,0.000042082116,0.000056530298,0.000009477427,0.00005835609,0.00005994306,0.000004810868],"category_scores_gemma":[0.00031964117,0.00004955549,0.00006003692,0.00030318994,0.000019194566,0.000030855914,0.00005325668,0.000047362988,0.0000029444902],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008818941,0.000034648878,0.008387119,0.0000540044,0.00009441823,0.0000042319916,0.0005384607,0.000050122086,0.7000574,0.000031256157,0.00044319071,0.28942323],"study_design_scores_gemma":[0.0028203712,0.0009718744,0.84896475,0.00019089963,0.00016466458,0.0000057503994,0.0007961008,0.0007344604,0.11891795,0.0074406597,0.018585484,0.00040703986],"about_ca_topic_score_codex":0.0002453341,"about_ca_topic_score_gemma":0.00038175026,"teacher_disagreement_score":0.8405776,"about_ca_system_score_codex":0.000027624137,"about_ca_system_score_gemma":0.0000054457164,"threshold_uncertainty_score":0.20208143},"labels":[],"label_agreement":null},{"id":"W4387296194","doi":"10.1186/s13007-023-01071-5","title":"Automating high-throughput screening for anthracnose resistance in common bean using allele specific PCR","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; McGill University","keywords":"Colletotrichum lindemuthianum; Biology; Variants of PCR; Phaseolus; Plant disease resistance; DNA extraction; Genetic marker; Gene; Allele; Polymerase chain reaction; Horticulture; Genetics; Biotechnology","score_opus":0.12431450920656181,"score_gpt":0.3436685268687454,"score_spread":0.21935401766218357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387296194","genre_codex":"empirical","genre_gemma":"methods","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":[0.9822329,0.00056172436,0.0147980405,0.00034059177,0.0003236934,0.00041642712,0.0008905293,0.00024389142,0.00019216143],"genre_scores_gemma":[0.260842,0.0002869179,0.7369586,0.000098449455,0.0004310176,0.000048238257,0.0009930462,0.000006471827,0.0003352491],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998115,0.0003230637,0.00039195057,0.0004338677,0.0001925161,0.0005435768],"domain_scores_gemma":[0.9984662,0.0011839585,0.00016064203,0.00008568483,0.000025913188,0.00007762334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018997452,0.00019136033,0.00038422627,0.00004589077,0.00038908407,0.000072385235,0.0002592973,0.00012702064,0.000043865835],"category_scores_gemma":[0.000072976465,0.00008785845,0.00009712788,0.000636105,0.000032192125,0.000106837746,0.00008248732,0.00014234603,0.0000062664085],"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":[0.00009222217,0.000031835152,0.00072260306,0.000033683085,0.0000106284,0.000072418916,0.00011141224,0.00013623993,0.9482183,0.001624807,0.00061175553,0.0483341],"study_design_scores_gemma":[0.0025728294,0.0005903946,0.38177514,0.001929934,0.00010781682,0.00012735398,0.004333729,0.10164448,0.27398795,0.038609393,0.19102804,0.003292944],"about_ca_topic_score_codex":0.000108463515,"about_ca_topic_score_gemma":0.0020928243,"teacher_disagreement_score":0.7221606,"about_ca_system_score_codex":0.000035945424,"about_ca_system_score_gemma":0.0000063029556,"threshold_uncertainty_score":0.35827634},"labels":[],"label_agreement":null},{"id":"W4388330430","doi":"10.1186/s13007-023-01097-9","title":"Validating a multi-locus metabarcoding approach for characterizing mixed-pollen samples","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","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":"Université Laval; University of Manitoba; University of Lethbridge; York University","funders":"York University; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Pollen; Pollinator; Biology; Species richness; Pollination; Species evenness; Relative species abundance; Ecology; Abundance (ecology)","score_opus":0.15578855135695105,"score_gpt":0.34115133091267547,"score_spread":0.18536277955572442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388330430","genre_codex":"empirical","genre_gemma":"methods","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":[0.65808773,0.00013980715,0.3362173,0.00025837435,0.00058949133,0.0012361595,0.00096474955,0.0005113085,0.0019950327],"genre_scores_gemma":[0.018559072,0.000103911036,0.98029184,0.000110652036,0.00005238184,0.00011489288,0.00021306152,0.000024188053,0.00052998523],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99825525,0.00023813872,0.00023926301,0.00052432687,0.00023438787,0.0005086415],"domain_scores_gemma":[0.9988747,0.0006907176,0.00011873054,0.00022067831,0.0000024734877,0.00009266892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017318863,0.00021844222,0.00030202762,0.00007233283,0.0005401163,0.000042755244,0.000319637,0.00007017142,0.00010903836],"category_scores_gemma":[0.0003024209,0.00020239755,0.00012692143,0.00026539512,0.00014137532,0.00018926941,0.000728499,0.000120872595,0.00019663556],"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":[0.000036525686,0.0001237842,0.18541782,0.000101814934,0.00016054633,0.000010250789,0.0025123141,0.00053777447,0.762038,0.000048637874,0.0039132102,0.045099303],"study_design_scores_gemma":[0.0017512051,0.00012772813,0.49256477,0.000055540564,0.00029028743,0.000034351182,0.0052686385,0.03599459,0.38401103,0.00023677597,0.07821582,0.0014492866],"about_ca_topic_score_codex":0.00008411937,"about_ca_topic_score_gemma":0.0000065940103,"teacher_disagreement_score":0.6440745,"about_ca_system_score_codex":0.0001365303,"about_ca_system_score_gemma":0.0000016697733,"threshold_uncertainty_score":0.8253533},"labels":[],"label_agreement":null},{"id":"W4389553850","doi":"10.1186/s13007-023-01116-9","title":"Seed protein biotyping in Amaranthus species: a tool for rapid identification of weedy amaranths of concern","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Agriculture and Agri-Food Canada; Canadian Food Inspection Agency","keywords":"Amaranth; Biology; Brassicaceae; Botany; Amaranthus hybridus; Crop; Agronomy; Weed","score_opus":0.05830446110814687,"score_gpt":0.37589040214459085,"score_spread":0.317585941036444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389553850","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":[0.38104478,0.000117070456,0.61559397,0.00013575285,0.000035826004,0.0011534353,0.0009402776,0.0001616055,0.00081726495],"genre_scores_gemma":[0.41334322,0.00019335949,0.5841043,0.000008247593,0.000056714536,0.0011596784,0.00026648561,0.000033165434,0.0008348303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883986,0.000043537522,0.00059905543,0.00024241909,0.000098203476,0.000176911],"domain_scores_gemma":[0.9988154,0.00041888165,0.00035925183,0.0003211009,0.00006505021,0.000020287414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009654111,0.000108979555,0.00028868028,0.00012042678,0.000038670183,0.000008262948,0.00021292559,0.00010622064,0.000041255847],"category_scores_gemma":[0.00030045214,0.00011160629,0.000082733204,0.000354611,0.00007315815,0.000051130773,0.00004458289,0.000104529056,0.000001932408],"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":[0.0000884751,0.000033576966,0.00024610528,0.00042013402,0.000014223552,4.3533996e-7,0.00018090785,0.00003781266,0.98428184,0.003336408,0.000028635961,0.0113314595],"study_design_scores_gemma":[0.00034319249,0.000014879672,0.0005491701,0.0001613436,0.00001199136,0.0000012574811,0.000148513,0.0061187535,0.9849809,0.004758724,0.0027922827,0.000118988915],"about_ca_topic_score_codex":0.000029898121,"about_ca_topic_score_gemma":0.0000029003595,"teacher_disagreement_score":0.03229845,"about_ca_system_score_codex":0.000033575474,"about_ca_system_score_gemma":0.000033797332,"threshold_uncertainty_score":0.45511726},"labels":[],"label_agreement":null},{"id":"W4391160912","doi":"10.1186/s13007-024-01141-2","title":"Improvement of germination rate and hybridization to facilitate breeding of an industrial oil crop, Euphorbia lagascae Spreng","year":2024,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Crop; Biology; Agronomy; Crop yield; Germination; Cultivar; Plant breeding; Raw material; Environmentally friendly; Agriculture; Biotechnology; Ecology","score_opus":0.05572540017574969,"score_gpt":0.31222687409546984,"score_spread":0.25650147391972017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391160912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941805,0.0002263886,0.0043717856,0.00005093644,0.00015688897,0.00007208203,0.00060795073,0.000010566703,0.0003229245],"genre_scores_gemma":[0.9887728,0.00013071613,0.010233103,0.00002443093,0.0001528831,0.000007925391,0.00033764492,0.000009548158,0.00033093782],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991278,0.00012786668,0.00025014815,0.0002839231,0.00008551812,0.00012471154],"domain_scores_gemma":[0.999598,0.00008776499,0.00006934565,0.00013064429,0.000047260437,0.00006696569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010907485,0.0001152836,0.0001557537,0.00006151019,0.000026857768,0.000021526746,0.000089686684,0.0001643185,0.000007832131],"category_scores_gemma":[0.00027281692,0.000104318875,0.000039524326,0.000102687285,0.000032709133,0.0000080505115,0.00006657596,0.000075812284,4.4998117e-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":[0.00011485987,0.000019653915,0.00006513985,0.00014327565,0.000038986247,0.000002472731,0.00007965304,0.000016830101,0.8893409,0.000013696179,0.00014314026,0.11002144],"study_design_scores_gemma":[0.00014135343,0.000256645,0.00017986482,0.00009482683,0.000037966034,0.000016508164,0.000049102073,0.00075122534,0.9923431,0.000017351409,0.0059932983,0.00011873848],"about_ca_topic_score_codex":0.00003583719,"about_ca_topic_score_gemma":0.0000063723405,"teacher_disagreement_score":0.1099027,"about_ca_system_score_codex":0.000008976693,"about_ca_system_score_gemma":0.000049267474,"threshold_uncertainty_score":0.42540002},"labels":[],"label_agreement":null},{"id":"W4396621670","doi":"10.1186/s13007-024-01193-4","title":"Colour-analyzer: a new dual colour model-based imaging tool to quantify plant disease","year":2024,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Pathogenic Bacteria Studies","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":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hue; Spectrum analyzer; HSL and HSV; RGB color model; Pixel; Population; Computer science; Biology; Artificial intelligence; Medicine; Immunology","score_opus":0.061467650808321284,"score_gpt":0.3255939195696228,"score_spread":0.2641262687613015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396621670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95628947,0.0018526184,0.015058803,0.013441871,0.0011957657,0.0007525194,0.010260805,0.00068301905,0.00046512994],"genre_scores_gemma":[0.8487602,0.00019389496,0.14333455,0.003276964,0.001108908,0.00017443391,0.0016322596,0.000012070884,0.0015067068],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977464,0.00032435474,0.0003755435,0.0006815139,0.00029620892,0.0005759487],"domain_scores_gemma":[0.99808526,0.0012741898,0.00006364394,0.000113319955,0.000035104382,0.0004285023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010545393,0.0003192547,0.00042018844,0.0000585345,0.00022874367,0.00025528573,0.0003069856,0.00007484622,0.00018373855],"category_scores_gemma":[0.00032082107,0.00013269448,0.00020947173,0.0004928513,0.00003867075,0.00012335883,0.00017187795,0.00020289046,0.00012293394],"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":[0.00064025685,0.00012358728,0.0031698984,0.00008387706,0.00016760186,0.00095716363,0.00029701248,0.00071651046,0.82373375,0.0015184552,0.041597467,0.12699445],"study_design_scores_gemma":[0.0004296182,0.00024221843,0.05205271,0.00044552478,0.00057488674,0.0001936923,0.00014618246,0.40999946,0.010084497,0.0015501571,0.5226958,0.0015852685],"about_ca_topic_score_codex":0.00016494392,"about_ca_topic_score_gemma":0.00023239339,"teacher_disagreement_score":0.81364924,"about_ca_system_score_codex":0.00006285339,"about_ca_system_score_gemma":0.00012021483,"threshold_uncertainty_score":0.54111236},"labels":[],"label_agreement":null},{"id":"W4399162173","doi":"10.1186/s13007-024-01197-0","title":"High-throughput color determination of red raspberry puree and correlation of color parameters with total anthocyanins","year":2024,"lang":"en","type":"article","venue":"Plant Methods","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WSP (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blowing a raspberry; Food science; Anthocyanin; Red Color; Positive correlation; Throughput; Red cabbage; Negative correlation; Chemistry; Ophthalmology; Computer science; Medicine; Internal medicine; Wireless; Telecommunications","score_opus":0.04016034785276843,"score_gpt":0.3117563593476099,"score_spread":0.27159601149484147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399162173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953894,0.00015465746,0.0035696155,0.00031184294,0.000090524765,0.00020491688,0.000108835055,0.000017080436,0.00015314501],"genre_scores_gemma":[0.9311487,0.000061565355,0.06853266,0.000009509045,0.000022210394,0.000013680236,0.00007389573,0.0000010131465,0.00013677389],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991822,0.00017263548,0.00018655915,0.00018090438,0.0001708931,0.0001068056],"domain_scores_gemma":[0.99903286,0.0007529734,0.0000760014,0.00003219185,0.00006747997,0.000038511826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050363987,0.00007489576,0.0001538889,0.000021712121,0.000046714766,0.000027600669,0.000060614966,0.00007333121,0.000063245796],"category_scores_gemma":[0.0000788363,0.00002920375,0.000027814469,0.0002649684,0.00008283431,0.00006437757,0.000030961644,0.000073581956,7.930638e-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":[0.00012811393,0.000040074778,0.0016717737,0.00004878419,0.000023558738,0.000004219508,0.00015895792,0.00007441253,0.8095514,0.0010879819,0.00008691997,0.18712379],"study_design_scores_gemma":[0.0005219702,0.0028734964,0.47646666,0.0002613714,0.00010223151,0.00008405599,0.0007215678,0.107613705,0.40629622,0.001529426,0.0031753585,0.00035395502],"about_ca_topic_score_codex":0.000118035874,"about_ca_topic_score_gemma":0.000073295945,"teacher_disagreement_score":0.47479486,"about_ca_system_score_codex":0.000010087281,"about_ca_system_score_gemma":0.00001223031,"threshold_uncertainty_score":0.11908943},"labels":[],"label_agreement":null},{"id":"W4399247323","doi":"10.1186/s13007-024-01200-8","title":"A comprehensive review of in planta stable transformation strategies","year":2024,"lang":"en","type":"review","venue":"Plant Methods","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"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; Grain Research Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Centre Sève; Mitacs","keywords":"Compendium; Transformation (genetics); Bottleneck; Food security; Biotechnology; Computer science; Process (computing); Genomic selection; Biology; Agriculture; Geography; Ecology; Genotype","score_opus":0.0847675817479604,"score_gpt":0.42176031651028467,"score_spread":0.3369927347623243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399247323","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":[0.000002612334,0.9960773,0.0012990388,0.000016013428,0.00020591961,0.00053164543,0.0006955662,0.000008550563,0.0011633838],"genre_scores_gemma":[5.057228e-7,0.98955786,0.0027298091,0.00003532239,0.00010581656,0.00006277711,0.0072939205,0.000018434988,0.00019557473],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848706,0.000433372,0.0005788495,0.00026241882,0.000093461924,0.0001448266],"domain_scores_gemma":[0.99953365,0.000042408778,0.00017343399,0.00018454371,0.000035907844,0.00003004213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041680902,0.00026092437,0.0009715459,0.000095539224,0.000016731781,0.00001790129,0.00014908469,0.00029163572,0.00000864027],"category_scores_gemma":[0.000021126601,0.00017645613,0.0002198122,0.00016579627,0.000023910497,0.0000058231008,0.000028967232,0.00019084346,0.000008489144],"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":[0.000007952451,0.00002600623,9.5492574e-8,0.42464617,0.0002156031,0.000016056156,0.000083519255,0.0000036459858,0.004755082,0.00034603893,0.009104136,0.5607957],"study_design_scores_gemma":[0.000049668895,0.000039972652,1.273802e-7,0.05720964,0.00045033506,0.00018618506,0.000024262423,0.000006734713,0.0013673297,0.000010977952,0.9404723,0.00018245],"about_ca_topic_score_codex":0.000052565476,"about_ca_topic_score_gemma":0.00007210538,"teacher_disagreement_score":0.9313682,"about_ca_system_score_codex":0.00001674643,"about_ca_system_score_gemma":0.00034181855,"threshold_uncertainty_score":0.71956724},"labels":[],"label_agreement":null},{"id":"W4399465205","doi":"10.1186/s13007-024-01212-4","title":"Exploring UAS-lidar as a sampling tool for satellite-based AGB estimations in the Miombo woodland of Zambia","year":2024,"lang":"en","type":"article","venue":"Plant Methods","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Foundation; National Science and Technology Council; International Development Research Centre; United States Agency for International Development; U.S. Department of Agriculture","keywords":"Sampling (signal processing); Lidar; Satellite; Environmental science; Remote sensing; Woodland; Geography; Computer science; Astronomy; Physics; Biology; Ecology; Detector","score_opus":0.1745610096296136,"score_gpt":0.3876632676839053,"score_spread":0.2131022580542917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399465205","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":[0.4650208,0.0001625946,0.5299978,0.00066981296,0.00014240506,0.00047222766,0.000049552742,0.000055806522,0.0034289637],"genre_scores_gemma":[0.4055206,0.000031150892,0.5941969,0.00007854043,0.000029149534,0.000048023387,0.00003582536,0.000011387846,0.00004841129],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911886,0.00014361288,0.00022070673,0.00021323997,0.00013941087,0.00016413548],"domain_scores_gemma":[0.9978393,0.0018637717,0.000036830632,0.00022935579,0.0000044660756,0.000026326396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014001254,0.00008843518,0.00012178473,0.00006249467,0.000092927505,0.000057723744,0.0001470088,0.00003225185,0.000032049582],"category_scores_gemma":[0.00019174033,0.00006517792,0.00006368779,0.00034995875,0.000052964344,0.000086375556,0.000021422651,0.00010562273,0.000033504708],"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":[0.00004981942,0.00014951424,0.0030713293,0.00019181144,0.000033023527,0.000008781601,0.0078079198,0.013784583,0.15295143,0.0038414462,0.00038533218,0.817725],"study_design_scores_gemma":[0.0008739655,0.00022961857,0.09165746,0.0007740636,0.00022957448,0.00010009993,0.0013755141,0.33645004,0.10638014,0.020887734,0.44019675,0.00084503595],"about_ca_topic_score_codex":0.0003025201,"about_ca_topic_score_gemma":0.000040422932,"teacher_disagreement_score":0.81688,"about_ca_system_score_codex":0.000041080908,"about_ca_system_score_gemma":0.000018220573,"threshold_uncertainty_score":0.26578784},"labels":[],"label_agreement":null},{"id":"W4399506616","doi":"10.1186/s13007-024-01194-3","title":"A pin-based probe for electronic moisture meters to determine moisture content in a single wheat kernel","year":2024,"lang":"en","type":"article","venue":"Plant Methods","topic":"Agricultural Engineering and Mechanization","field":"Engineering","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":"National Research Council Canada; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Government of Canada; Saskatchewan Wheat Development Commission; Alberta Wheat Commission; Ministry of Agriculture - Saskatchewan","keywords":"Water content; Agronomy; Straw; Moisture; Environmental science; Maturity (psychological); Crop; Grain quality; Agricultural engineering; Kernel (algebra); Mathematics; Biology; Engineering; Geography; Meteorology","score_opus":0.032695385464001664,"score_gpt":0.2653631558803101,"score_spread":0.23266777041630846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399506616","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":[0.023963658,0.0013249369,0.9726858,0.0001916873,0.0005468041,0.0006078693,0.000047231373,0.0005440579,0.00008797127],"genre_scores_gemma":[0.7404976,0.000026795673,0.25796717,0.00015372604,0.0001744516,0.00044540458,0.0001827315,0.00007433858,0.00047776097],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912775,0.00003365748,0.0001852455,0.00022420917,0.00008141,0.00034771586],"domain_scores_gemma":[0.9996162,0.0001727454,0.000010000161,0.00009983358,0.000024811707,0.000076422235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027653135,0.0001959041,0.0002159836,0.00013699943,0.000018592586,0.00004634856,0.00009074483,0.00010207554,0.0000040235464],"category_scores_gemma":[0.00008512586,0.00014996255,0.00006799573,0.000295438,0.0000030915746,0.00004311983,0.000009707368,0.00017869586,0.000003805293],"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":[0.00002989302,0.000020830761,0.0000063657744,0.0004784617,0.000048346752,0.000014911722,0.00033776983,0.111365005,0.86644554,0.0005070882,0.00078987156,0.019955907],"study_design_scores_gemma":[0.00038642375,0.00022127271,0.00018066095,0.00037796705,0.00005899117,0.00003610042,0.000052666634,0.693036,0.26603922,0.00015334788,0.039061952,0.00039538878],"about_ca_topic_score_codex":0.000031274973,"about_ca_topic_score_gemma":0.000090702546,"teacher_disagreement_score":0.71653396,"about_ca_system_score_codex":0.00025928702,"about_ca_system_score_gemma":0.000018616149,"threshold_uncertainty_score":0.6115295},"labels":[],"label_agreement":null},{"id":"W4400686001","doi":"10.1186/s13007-024-01232-0","title":"Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning","year":2024,"lang":"en","type":"article","venue":"Plant Methods","topic":"Smart Agriculture and AI","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":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Aerial imagery; Remote sensing; Field (mathematics); Deep learning; Environmental science; Satellite imagery; Aerial survey; Aerial root; Geography; Artificial intelligence; Computer science; Biology; Ecology; Mathematics","score_opus":0.05289966096613132,"score_gpt":0.3180500410732404,"score_spread":0.2651503801071091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400686001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97182393,0.0015220251,0.023046983,0.00059146,0.0018421874,0.00009796358,0.000019301207,0.00029689897,0.0007592583],"genre_scores_gemma":[0.74094546,0.00017545043,0.25076446,0.0006764265,0.006597045,9.557486e-7,0.00027816746,0.000007016022,0.0005550203],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983864,0.00043759216,0.00024664585,0.0004053703,0.00018334897,0.00034063595],"domain_scores_gemma":[0.9979106,0.0018552116,0.00006376288,0.000049938815,0.000029968498,0.00009052367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066712423,0.00018289131,0.0002373696,0.000022837674,0.0003325789,0.00037064267,0.00014778627,0.00015549372,0.00019147762],"category_scores_gemma":[0.00019049474,0.00007301158,0.000144482,0.00043781626,0.000019425073,0.00020853944,0.00010956105,0.0003673547,0.000045374763],"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":[0.000017939337,0.0000036937654,0.00007459982,0.00000878293,0.00002493287,0.0000606712,0.0002064521,0.000010939657,0.72075844,0.0000075721205,0.00023644626,0.27858952],"study_design_scores_gemma":[0.00033070074,0.00025798054,0.017474877,0.00086682994,0.00038660073,0.00029520562,0.002812113,0.2067634,0.63514227,0.005340963,0.12886825,0.0014607982],"about_ca_topic_score_codex":0.0023917425,"about_ca_topic_score_gemma":0.00017659176,"teacher_disagreement_score":0.27712873,"about_ca_system_score_codex":0.000028418268,"about_ca_system_score_gemma":0.000006452931,"threshold_uncertainty_score":0.36156154},"labels":[],"label_agreement":null},{"id":"W4401363582","doi":"10.1186/s13007-024-01254-8","title":"A rapid LAMP assay for the diagnosis of oak wilt with the naked eye","year":2024,"lang":"en","type":"article","venue":"Plant Methods","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Materials Research Science and Engineering Center, Harvard University; University of Minnesota; U.S. Department of Agriculture; National Institute of Food and Agriculture; Minnesota Invasive Terrestrial Plants and Pests Center, University of Minnesota; National Science Foundation","keywords":"Wilt disease; Disease; Disease control; Biology; Bacterial wilt; Medicine; Environmental health; Horticulture; Pathology","score_opus":0.03140559794401725,"score_gpt":0.3021770797718945,"score_spread":0.27077148182787725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401363582","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":[0.010357003,0.0065177763,0.9758116,0.003907233,0.0008098103,0.00047212,0.00021806848,0.00029249158,0.0016139251],"genre_scores_gemma":[0.901208,0.002015395,0.09459586,0.00026819258,0.00059760746,0.00040005104,0.000018148085,0.00008430836,0.0008124409],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954957,0.00008246196,0.000093579365,0.000086305634,0.000073761934,0.00011431879],"domain_scores_gemma":[0.9974044,0.0024295056,0.000010796833,0.00012293152,0.000012998193,0.00001937382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085228845,0.00007767567,0.00011031149,0.000026565616,0.000044956385,0.00003227156,0.000082012455,0.00004316182,0.000027801716],"category_scores_gemma":[0.00007544483,0.00003364147,0.00007117205,0.00016046893,0.000032705848,0.000023163588,0.000008516815,0.00012629703,0.0000029115472],"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":[0.0000723943,0.000024793726,0.00010183163,0.00055841985,0.0007887631,0.000007665144,0.0005889364,0.0035682383,0.02774853,0.005213718,0.020821344,0.9405054],"study_design_scores_gemma":[0.000090533664,0.00006149924,0.0004195917,0.00007321737,0.00015932387,0.00000673294,0.0000811167,0.41611543,0.064413935,0.000308833,0.5181749,0.00009491854],"about_ca_topic_score_codex":0.000010248785,"about_ca_topic_score_gemma":0.000009709624,"teacher_disagreement_score":0.94041044,"about_ca_system_score_codex":0.000009041663,"about_ca_system_score_gemma":0.000005140691,"threshold_uncertainty_score":0.13718593},"labels":[],"label_agreement":null},{"id":"W4403386225","doi":"10.1186/s13007-024-01282-4","title":"Correction: A comprehensive review of in planta stable transformation strategies","year":2024,"lang":"en","type":"review","venue":"Plant Methods","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","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":"McGill University; Grain Research Centre","funders":"","keywords":"Transformation (genetics); Computer science; Biology; Biochemistry","score_opus":0.07277600515877364,"score_gpt":0.40809008932568813,"score_spread":0.3353140841669145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403386225","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":[0.0000013804632,0.9943232,0.0019720898,0.000014812134,0.00085178646,0.0005059037,0.00039170586,0.000010904218,0.0019282199],"genre_scores_gemma":[5.040068e-7,0.99143213,0.0014491159,0.00003269708,0.00016088803,0.000068197834,0.006265094,0.000017947057,0.00057341036],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848723,0.0004369487,0.00057446695,0.0002694766,0.00009511037,0.00013678691],"domain_scores_gemma":[0.999504,0.000056024273,0.00018968157,0.00017563782,0.000044506287,0.0000301169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039089736,0.00025937753,0.000923057,0.00009992683,0.000022132494,0.000019924417,0.00012832394,0.00029859343,0.000011541028],"category_scores_gemma":[0.000029574541,0.00018102909,0.0002184106,0.00019743315,0.000024279496,0.000006790027,0.000025190953,0.00022369821,0.000008930668],"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":[0.000011048402,0.000030257826,1.421634e-7,0.24701196,0.00022379153,0.000014966018,0.00009327735,0.000008288572,0.002511396,0.00015958624,0.045365456,0.7045698],"study_design_scores_gemma":[0.00004769385,0.000048784375,1.9232965e-7,0.06111473,0.00046571495,0.0003506324,0.000034682198,0.000021046077,0.0013460494,0.000005394031,0.9363817,0.00018336238],"about_ca_topic_score_codex":0.00006558462,"about_ca_topic_score_gemma":0.00013045075,"teacher_disagreement_score":0.89101624,"about_ca_system_score_codex":0.000022399989,"about_ca_system_score_gemma":0.0003707732,"threshold_uncertainty_score":0.7382152},"labels":[],"label_agreement":null},{"id":"W4403894249","doi":"10.1186/s13007-024-01289-x","title":"Optimization of a rapid, sensitive, and high throughput molecular sensor to measure canola protoplast respiratory metabolism as a means of screening nanomaterial cytotoxicity","year":2024,"lang":"en","type":"article","venue":"Plant Methods","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Canola Development Commission; Western Grains Research Foundation","keywords":"Resazurin; Protoplast; Cytotoxicity; Sulforhodamine B; Chemistry; Toxicity; Viability assay; Chromatography; Biochemistry; In vitro; Organic chemistry","score_opus":0.018307916404417805,"score_gpt":0.31271046690540844,"score_spread":0.2944025505009906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403894249","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":[0.4359534,0.00042337689,0.562815,0.000040682622,0.000059734844,0.00038274072,0.00020927622,0.00003750074,0.000078248195],"genre_scores_gemma":[0.49896818,0.00005125819,0.500748,0.000083736384,0.00005893424,0.000014468071,0.00004435919,0.000018233883,0.00001286786],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99842,0.00048794938,0.00032390154,0.00042507565,0.00017181906,0.0001712634],"domain_scores_gemma":[0.9993599,0.000046819052,0.00011754837,0.00024256467,0.00016399943,0.00006914287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082379946,0.00019457891,0.00036562025,0.00013634973,0.00004209685,0.00002261579,0.00007513098,0.00017804986,0.0000017806705],"category_scores_gemma":[0.00027402586,0.0001649054,0.00009796162,0.0002223745,0.00009315969,0.0000072805274,0.000101125726,0.00007647315,1.6190215e-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":[0.00029500612,0.000018365705,0.0000148004265,0.0000741923,0.00017896995,0.000016551552,0.000067379166,0.0005514838,0.99300444,0.000098236735,0.000024418378,0.0056561604],"study_design_scores_gemma":[0.0001882987,0.00024392467,0.000065156775,0.00014193838,0.00012233516,0.000049126265,0.000048565693,0.001272211,0.996015,0.000024907218,0.0016443196,0.00018422102],"about_ca_topic_score_codex":0.000052062373,"about_ca_topic_score_gemma":0.000009223627,"teacher_disagreement_score":0.063014776,"about_ca_system_score_codex":0.000008740875,"about_ca_system_score_gemma":0.000063530526,"threshold_uncertainty_score":0.67246467},"labels":[],"label_agreement":null},{"id":"W4404657156","doi":"10.1186/s13007-024-01304-1","title":"A high-throughput approach for quantifying turgor loss point in grapevine","year":2024,"lang":"en","type":"article","venue":"Plant Methods","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Niagara College; The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Turgor pressure; Vine; Vitis vinifera; Biology; Drought tolerance; Intraspecific competition; Context (archaeology); Horticulture; Hygrometer; Crop; Viticulture; Agronomy; Botany; Environmental science; Humidity; Ecology; Wine; Geography","score_opus":0.1810051011904265,"score_gpt":0.41146616430750527,"score_spread":0.23046106311707876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404657156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984122,0.0022389293,0.0056787333,0.0051539624,0.00049812224,0.001090162,0.0003774138,0.0002720309,0.00056868733],"genre_scores_gemma":[0.8953587,0.00028428403,0.10202937,0.00015169948,0.00054096064,0.00024051557,0.0006680929,0.000002731397,0.0007236713],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981237,0.00027011093,0.0003232121,0.000516275,0.00022333149,0.00054339337],"domain_scores_gemma":[0.9984498,0.001287928,0.000031131334,0.000052622352,0.000051354997,0.00012716453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013738504,0.00020163623,0.0003161349,0.00002958891,0.00013971131,0.00020167831,0.00024778803,0.00012272183,0.00013598824],"category_scores_gemma":[0.00026861884,0.00006010873,0.00017211016,0.0006335231,0.00005363734,0.00021676895,0.00008589237,0.00026071272,0.000020366071],"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":[0.00014765222,0.00012987765,0.0003667754,0.00024938476,0.000048605874,0.000058283636,0.00033795205,0.000024481997,0.6607297,0.008763447,0.0021366233,0.32700723],"study_design_scores_gemma":[0.0021121155,0.0026073917,0.09375571,0.0012986943,0.00024538673,0.00084579707,0.0052911155,0.08570886,0.29261696,0.022540571,0.48930943,0.0036679695],"about_ca_topic_score_codex":0.00043339885,"about_ca_topic_score_gemma":0.00023962163,"teacher_disagreement_score":0.4871728,"about_ca_system_score_codex":0.000046721285,"about_ca_system_score_gemma":0.000009705679,"threshold_uncertainty_score":0.2451163},"labels":[],"label_agreement":null},{"id":"W4408498771","doi":"10.1186/s13007-025-01355-y","title":"A Bayesian framework to model variance of grain yield response to plant density","year":2025,"lang":"en","type":"article","venue":"Plant Methods","topic":"Wheat and Barley Genetics and Pathology","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":"Agriculture and Agri-Food Canada","funders":"Kansas Wheat Commission","keywords":"Yield (engineering); Plant density; Variance (accounting); Statistics; Grain yield; Probability density function; Mathematics; Agronomy; Seeding; Crop yield; Constant (computer programming); Biology; Computer science; Sowing; Physics","score_opus":0.04098873725036353,"score_gpt":0.3189808942295952,"score_spread":0.27799215697923163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408498771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6893274,0.0000829224,0.30442923,0.004795027,0.0002673107,0.00020327515,0.00030323397,0.000025284644,0.0005662893],"genre_scores_gemma":[0.64953184,0.000019391658,0.34723693,0.0024512114,0.00006637858,0.00001657802,0.000015024077,7.41741e-7,0.00066193385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988556,0.00035091361,0.00019928657,0.00027194276,0.0000886562,0.00023358777],"domain_scores_gemma":[0.9984089,0.0013106893,0.000033459855,0.00009450256,0.000036033034,0.0001164072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013642478,0.00011108915,0.0002461221,0.000031804786,0.000091579735,0.000017322285,0.00023601372,0.0001442936,0.000043303025],"category_scores_gemma":[0.00062706316,0.000046945606,0.00006161604,0.00037492483,0.000019253774,0.00001122769,0.000110005414,0.00011704227,0.000005470921],"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":[0.00084725727,0.00004248704,0.00067211996,0.000006967021,0.000010015568,0.000009328551,0.0002691643,0.00019231152,0.9634081,0.0027017107,0.0023159925,0.029524507],"study_design_scores_gemma":[0.00028642616,0.0018682875,0.13647838,0.00062970683,0.00009661065,0.000055841207,0.0003642288,0.016138105,0.6812664,0.09765461,0.06414987,0.0010114976],"about_ca_topic_score_codex":0.00009350746,"about_ca_topic_score_gemma":0.00019626405,"teacher_disagreement_score":0.28214172,"about_ca_system_score_codex":0.000008318042,"about_ca_system_score_gemma":0.000017864879,"threshold_uncertainty_score":0.19143863},"labels":[],"label_agreement":null},{"id":"W4411547162","doi":"10.1186/s13007-025-01396-3","title":"YOLOV8-CMS: a high-accuracy deep learning model for automated citrus leaf disease classification and grading","year":2025,"lang":"en","type":"article","venue":"Plant Methods","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Guangxi Normal University; National Natural Science Foundation of China; British Columbia Innovation Council; Division of Graduate Education; Natural Science Foundation of Guangxi Zhuang Autonomous Region","keywords":"Grading (engineering); Artificial intelligence; Computer science; Deep learning; Pattern recognition (psychology); Horticulture; Biology","score_opus":0.04700599691978165,"score_gpt":0.32673170751006125,"score_spread":0.2797257105902796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411547162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96172476,0.00083893305,0.033081822,0.0025766862,0.0002614261,0.00051467423,0.00009237775,0.00058380817,0.0003255171],"genre_scores_gemma":[0.9517062,0.00016784301,0.046225756,0.00033870956,0.00015235129,0.0001170951,0.0004436272,0.0000013696882,0.00084708614],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901974,0.000174812,0.00018521071,0.0003168122,0.00007640583,0.00022702389],"domain_scores_gemma":[0.998654,0.0010758236,0.00008495486,0.00004096403,0.00004401981,0.000100204095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004289365,0.00013745381,0.00018369361,0.00002004324,0.000345693,0.0000899094,0.00012536313,0.00008534268,0.000011419886],"category_scores_gemma":[0.0004809984,0.00005192608,0.00006439971,0.00024717438,0.000026505299,0.00011168014,0.000044777717,0.00010958545,0.0000018529803],"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":[0.00023865254,0.00010429235,0.013321536,0.00008534205,0.000070732916,0.000003833629,0.00040172617,0.0009057931,0.51677835,0.009484055,0.00342978,0.45517588],"study_design_scores_gemma":[0.0001825479,0.000044000797,0.17566602,0.000043959244,0.00007116779,0.000002539417,0.00025496955,0.80555975,0.0011044486,0.0037572435,0.013117465,0.00019591226],"about_ca_topic_score_codex":0.000034734432,"about_ca_topic_score_gemma":0.00004069984,"teacher_disagreement_score":0.80465394,"about_ca_system_score_codex":0.000018797647,"about_ca_system_score_gemma":0.000008478104,"threshold_uncertainty_score":0.26588258},"labels":[],"label_agreement":null},{"id":"W4413334188","doi":"10.1186/s13007-025-01424-2","title":"An automated in-field transport and imaging chamber system for high-throughput phenotyping of potted soybean","year":2025,"lang":"en","type":"article","venue":"Plant Methods","topic":"Smart Agriculture and AI","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":"Ministry of Agriculture","funders":"National Science and Technology Major Project; China National Tobacco Corporation; Modern Agricultural Technology Industry System of Shandong province; National Natural Science Foundation of China","keywords":"Canopy; Sowing; Robustness (evolution); Modular design; Throughput; Computer science; Predictive maintenance; Environmental science; Remote sensing; Agronomy; Engineering; Biology; Botany; Reliability engineering; Geography","score_opus":0.014395080042178045,"score_gpt":0.3020087645080542,"score_spread":0.28761368446587615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413334188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99485415,0.00022328626,0.0028512052,0.0006794992,0.00024056365,0.00029329056,0.00007112326,0.00018511717,0.0006017339],"genre_scores_gemma":[0.9885254,0.000008509329,0.011044385,0.00018464513,0.0000766499,0.000019176745,0.000111199406,7.120386e-7,0.00002933896],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991511,0.00012260149,0.00024670234,0.00023495551,0.000058815207,0.00018580645],"domain_scores_gemma":[0.99932516,0.0004989051,0.00006387974,0.00004131596,0.00003421255,0.00003653462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055559614,0.00011043508,0.00025830802,0.000021349488,0.000078396966,0.000016260921,0.00008846133,0.000074282296,0.000007859715],"category_scores_gemma":[0.000026294172,0.000042066167,0.00003982506,0.00026301073,0.000016966464,0.00008917518,0.000013898958,0.00006482323,2.8899035e-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":[0.0001290088,0.00009131911,0.046390314,0.00019118619,0.00003675657,0.000010264844,0.00035626357,0.000008720192,0.8592863,0.0053769634,0.00040194197,0.087720975],"study_design_scores_gemma":[0.00083017634,0.00017606003,0.7778412,0.0005854634,0.00010599955,0.00003072398,0.0021684943,0.016970873,0.19560355,0.00090666005,0.004331019,0.00044979312],"about_ca_topic_score_codex":0.00065240095,"about_ca_topic_score_gemma":0.00034009424,"teacher_disagreement_score":0.73145086,"about_ca_system_score_codex":0.000011139662,"about_ca_system_score_gemma":0.000005621446,"threshold_uncertainty_score":0.17154084},"labels":[],"label_agreement":null},{"id":"W4415614611","doi":"10.1186/s13007-025-01456-8","title":"Visual-language transformer-based tomato leaf disease detection for portable greenhouse monitoring device","year":2025,"lang":"en","type":"article","venue":"Plant Methods","topic":"Smart Agriculture and AI","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 Windsor","funders":"Khalifa University of Science, Technology and Research","keywords":"Preprocessor; Greenhouse; Adaptation (eye); Pixel; Precision and recall; Image (mathematics); Plant disease","score_opus":0.02632479183424611,"score_gpt":0.33607782409710907,"score_spread":0.30975303226286294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415614611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845914,0.00061899534,0.012682941,0.0005089753,0.00047246387,0.0004680631,0.000109637964,0.0002116783,0.00033579164],"genre_scores_gemma":[0.9898153,0.000020029005,0.008393239,0.0003280445,0.00046401497,0.0001740014,0.00014994388,0.0000018043077,0.00065361604],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901634,0.0001118089,0.00019787034,0.00027976203,0.00011034394,0.00028387585],"domain_scores_gemma":[0.9991626,0.0005836527,0.000050815826,0.000046388654,0.000042050808,0.000114489754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040396902,0.00015591267,0.00018757251,0.000021661928,0.0002626852,0.000060519225,0.00013668396,0.00008416103,0.000036242785],"category_scores_gemma":[0.000088545356,0.000059048438,0.00014394018,0.00036006016,0.000013203594,0.000101177146,0.000010236108,0.000085204636,0.000004449075],"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":[0.00014339408,0.00008249462,0.0051043546,0.00005413436,0.000021387814,0.000005058471,0.00004384068,0.00001401926,0.7593736,0.000030933592,0.00024939456,0.23487741],"study_design_scores_gemma":[0.0003143931,0.00014492693,0.10693587,0.00009904049,0.00011872146,0.0000024098401,0.00047630575,0.0012616853,0.8386531,0.00017143262,0.05153009,0.00029202507],"about_ca_topic_score_codex":0.00018976163,"about_ca_topic_score_gemma":0.00030986994,"teacher_disagreement_score":0.23458537,"about_ca_system_score_codex":0.00002377368,"about_ca_system_score_gemma":0.000013627237,"threshold_uncertainty_score":0.24079254},"labels":[],"label_agreement":null},{"id":"W4416193887","doi":"10.1186/s13007-025-01451-z","title":"A stomata imaging and segmentation pipeline incorporating generative AI to reduce dependency on manual groundtruthing","year":2025,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Agriculture and Agri-Food Canada; University of Saskatchewan; Plant Biotechnology Institute","funders":"National Research Council Canada","keywords":"Pipeline (software); Segmentation; Bottleneck; Deep learning; Generative grammar; Annotation; Dependency (UML)","score_opus":0.03967028248991406,"score_gpt":0.39009552103359213,"score_spread":0.3504252385436781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416193887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968934,0.00023093497,0.023550048,0.005560495,0.00018159713,0.00036664325,0.00013845078,0.00006451455,0.00097331125],"genre_scores_gemma":[0.8517967,0.000033784876,0.14269155,0.0042897244,0.00018245725,0.000060657378,0.0004504102,0.0000017733171,0.00049294427],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983478,0.00072496774,0.00018475017,0.00037742686,0.00013687785,0.00022818694],"domain_scores_gemma":[0.99906147,0.00071560347,0.000052559073,0.000049793176,0.00004367198,0.0000768843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012676673,0.00012651354,0.00015636775,0.000050315484,0.0002628134,0.000105769206,0.00016842283,0.000059135116,0.000015084251],"category_scores_gemma":[0.0003460268,0.000055717843,0.000024044926,0.00027812985,0.000032425687,0.00009042019,0.00017064424,0.00019956734,0.0000068271906],"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":[0.000055272212,0.000015642065,0.0025648868,0.0000046547234,0.000008710951,0.000018491664,0.0000728665,0.000005983034,0.7746518,0.00053131086,0.00038294806,0.2216874],"study_design_scores_gemma":[0.00058253395,0.0004701696,0.060930505,0.00027947946,0.000049883995,0.00024009534,0.0019227113,0.01683047,0.9040882,0.009822026,0.0040786136,0.00070528267],"about_ca_topic_score_codex":0.00015734059,"about_ca_topic_score_gemma":0.00019150191,"teacher_disagreement_score":0.22098212,"about_ca_system_score_codex":0.00003491557,"about_ca_system_score_gemma":0.000015188607,"threshold_uncertainty_score":0.22721078},"labels":[],"label_agreement":null},{"id":"W4416344598","doi":"10.1186/s13007-025-01471-9","title":"PVP-40 mediated enhancement of mesophyll protoplast yield and viability for transient gene expression in black huckleberry","year":2025,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","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":"Agriculture and Agri-Food Canada; Memorial University of Newfoundland","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Protoplast; Gene expression; Yield (engineering); Gene; Phenotype; Isolation (microbiology)","score_opus":0.021151407049462376,"score_gpt":0.31580506317641294,"score_spread":0.29465365612695055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416344598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8428792,0.0015105009,0.15378243,0.00017218063,0.00013683493,0.001105428,0.00013370339,0.0000052375763,0.0002745038],"genre_scores_gemma":[0.893891,0.0005146064,0.103750445,0.0001354167,0.000090008696,0.00038449722,0.00067273085,0.000010181527,0.0005511458],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921995,0.00010795324,0.0002378716,0.00025964947,0.00005408196,0.000120462195],"domain_scores_gemma":[0.9996494,0.00009439026,0.000057375437,0.00012991022,0.00003859571,0.000030350117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004820134,0.00010373924,0.00017794214,0.00004032982,0.000028771296,0.0000052109845,0.000064059015,0.00014553241,0.0000047447616],"category_scores_gemma":[0.00016011775,0.000080740334,0.00003772729,0.000057566853,0.000043756754,0.0000027496908,0.000029354404,0.000048671038,1.6901514e-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":[0.00029654612,0.00008038451,0.00046634767,0.00015020907,0.000021595612,5.4004107e-7,0.00015037086,0.000024330864,0.9964636,0.00001330565,0.00059479254,0.0017379682],"study_design_scores_gemma":[0.00044026453,0.00012792651,0.0011156484,0.00006187541,0.000015875192,0.0000018892777,0.000029211224,0.000265326,0.98298615,0.00004409296,0.014828162,0.00008358474],"about_ca_topic_score_codex":0.000024649245,"about_ca_topic_score_gemma":0.00014848712,"teacher_disagreement_score":0.051011786,"about_ca_system_score_codex":0.0000085827605,"about_ca_system_score_gemma":0.00005177463,"threshold_uncertainty_score":0.32924953},"labels":[],"label_agreement":null}]}