{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001310935,0.0002035159,0.0002208257,0.00005055063,0.00005931568,0.00001840412,0.0003225074,0.0001762171,0.000002726981],"category_scores_gemma":[0.0003168792,0.0001571121,0.00005538915,0.0001020778,0.000307875,4.597993e-7,0.0006131883,0.0001372805,0.00000275576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001718118,"about_ca_system_score_gemma":0.00008601197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003464321,"about_ca_topic_score_gemma":0.00003886325,"domain_scores_codex":[0.9982266,0.0006621791,0.0002609706,0.0004608155,0.00005428646,0.0003351115],"domain_scores_gemma":[0.9991279,0.00005894681,0.00007293764,0.0005746473,0.00006287413,0.0001027416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004036395,0.00002021529,0.006347196,0.000004900154,0.00005235436,0.00000617617,0.00009873603,0.0001403201,0.9831078,0.0011937,0.0001638067,0.008824448],"study_design_scores_gemma":[0.001946544,0.0006450944,0.004129539,0.000007697328,0.0000668084,0.0001334263,0.0004860107,0.0006990797,0.6412032,0.02118122,0.3288071,0.0006942337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6312629,0.02197398,0.3445266,0.0004968929,0.0003546006,0.0003164586,0.00003579526,0.000004364577,0.001028408],"genre_scores_gemma":[0.172629,0.002336774,0.8229564,0.001590051,0.0001904634,0.00006691985,0.00005409191,0.00004492713,0.0001314388],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4784298,"threshold_uncertainty_score":0.6406846,"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."}}