{"id":"W2179282661","doi":"10.1093/nar/gkv1217","title":"WormBase 2016: expanding to enable helminth genomic research","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":389,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Medical Research Council; National Human Genome Research Institute; Biotechnology and Biological Sciences Research Council; Howard Hughes Medical Institute","keywords":"Biology; Caenorhabditis elegans; Genomics; Genome; Computational biology; Data curation; Data science; Caenorhabditis; Ontology; Evolutionary biology; World Wide Web; Genetics; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01217376,0.003146328,0.003193627,0.01430234,0.001844893,0.007682167,0.005950714,0.002649416,0.041094],"category_scores_gemma":[0.03240718,0.002357955,0.002071462,0.01753525,0.001060151,0.01185105,0.01401082,0.005533866,0.06539696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218582,"about_ca_system_score_gemma":0.006981314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004039476,"about_ca_topic_score_gemma":0.004283924,"domain_scores_codex":[0.9955563,0.0005703027,0.0009245889,0.00106857,0.001456976,0.0004231478],"domain_scores_gemma":[0.9844888,0.003086913,0.001761612,0.003516957,0.003037337,0.004108373],"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":[0.001160288,0.0001789798,0.003921816,0.004889034,0.0003012065,0.0004047903,0.0006555602,0.0006751484,0.01069037,0.006666927,0.8455949,0.124861],"study_design_scores_gemma":[0.0001520768,0.00005048152,0.002976692,0.0006303719,0.0001180642,0.0002284076,0.00009482272,0.0007255249,0.003045179,0.004608725,0.9872642,0.0001054334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005313494,0.007090708,0.05877639,0.003035853,0.003482376,0.0007954924,0.7408304,0.1637862,0.01688904],"genre_scores_gemma":[0.003323432,0.00272641,0.06523807,0.0008880224,0.0003350254,0.0006132917,0.9062123,0.0164702,0.004193309],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.041094,"threshold_uncertainty_score":0.1374732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128158192208064,"score_gpt":0.3883329650233493,"score_spread":0.2755171458025429,"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."}}