{"id":"W1831548991","doi":"10.1007/978-1-4939-3167-5_9","title":"MaizeGDB: The Maize Genetics and Genomics Database","year":2015,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Zea mays; Genomics; Product (mathematics); Genomic information; Matching (statistics); Biology; Database; Computer science; World Wide Web; Genetics; Genome; Gene; Agronomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008927768,0.002769122,0.002740058,0.006717267,0.001346854,0.002612916,0.003990523,0.002210868,0.02298913],"category_scores_gemma":[0.002400704,0.001553445,0.001430582,0.01119542,0.0005049449,0.002268669,0.002775972,0.002320507,0.0289275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245761,"about_ca_system_score_gemma":0.002784809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006694843,"about_ca_topic_score_gemma":0.006972529,"domain_scores_codex":[0.9995279,0.00004464319,0.00006496363,0.0001229829,0.0001446626,0.00009490045],"domain_scores_gemma":[0.9992761,0.000126883,0.0001400248,0.0001591601,0.0001126989,0.000185172],"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":[0.004498466,0.0002930859,0.003851877,0.007708578,0.0006548942,0.00086506,0.0006050252,0.002082998,0.1607471,0.01453081,0.746911,0.05725116],"study_design_scores_gemma":[0.001085522,0.0001146361,0.01011036,0.0003725237,0.000339363,0.0005634546,0.0001673617,0.002268073,0.02009149,0.008245834,0.9564475,0.0001938681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.006685292,0.001882337,0.01494845,0.000312883,0.00009953692,0.0001462755,0.937346,0.03323268,0.005346572],"genre_scores_gemma":[0.007661981,0.0008654468,0.01025004,0.0001522781,0.00001843556,0.0002385046,0.9765971,0.003209231,0.001006866],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02298913,"threshold_uncertainty_score":0.07690626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04162179580076706,"score_gpt":0.3743503322337079,"score_spread":0.3327285364329408,"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."}}