{"id":"W2812872717","doi":"10.1186/s13104-018-3508-1","title":"Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets","year":2018,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; Agricultural Research Service; National Corn Growers Association; Nebraska Corn Board; Johns Hopkins University; U.S. Department of Agriculture; National Science Foundation","keywords":"Genotype; Phenotype; Inbred strain; Genome; Biology; Genetics; Veterinary medicine; Medicine; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001727482,0.001776502,0.001067949,0.003165418,0.001191653,0.001335431,0.002594585,0.001602696,0.01267904],"category_scores_gemma":[0.004933879,0.0007335778,0.001403263,0.006443876,0.0004491412,0.001400608,0.002130936,0.001346507,0.01383292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002118959,"about_ca_system_score_gemma":0.002408579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03297935,"about_ca_topic_score_gemma":0.05135462,"domain_scores_codex":[0.999017,0.0001039591,0.00008916797,0.000346902,0.000277416,0.000165565],"domain_scores_gemma":[0.9985845,0.0001686109,0.0002127732,0.0004116263,0.0004015868,0.0002208465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009969199,0.0001435122,0.007005952,0.001524433,0.0002672152,0.0001814363,0.0003537662,0.001727359,0.007729125,0.003195031,0.9637895,0.01308582],"study_design_scores_gemma":[0.00120228,0.0001397547,0.06602979,0.0003410505,0.0001714073,0.0001475238,0.0002885499,0.001731929,0.003927266,0.004028042,0.9218487,0.0001437334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002242269,0.00006881818,0.0003319524,0.00009465146,0.00002397106,0.00003528174,0.9953864,0.001027048,0.0007896375],"genre_scores_gemma":[0.0009560048,0.00003124662,0.00093089,0.00003334424,0.000003712644,0.000060416,0.9977012,0.00008906666,0.0001941236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03297935,"threshold_uncertainty_score":0.06557482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04855893114636432,"score_gpt":0.3333782486060641,"score_spread":0.2848193174596998,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}