{"id":"W2765384588","doi":"10.1093/nar/gkx998","title":"WormBase 2017: molting into a new stage","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"U.S. National Library of Medicine; National Human Genome Research Institute; Biotechnology and Biological Sciences Research Council; Medical Research Council","keywords":"Biology; Ontology; Data curation; Resource (disambiguation); Model organism; Caenorhabditis elegans; Genome; Computational biology; Data science; Computer science; Gene; Genetics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01960688,0.003393581,0.003666836,0.008873527,0.00261757,0.01619993,0.009471486,0.004715094,0.07390729],"category_scores_gemma":[0.03908322,0.003004096,0.002787815,0.007788377,0.002308522,0.02275534,0.01738839,0.01212487,0.1379462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173136,"about_ca_system_score_gemma":0.01299725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005639614,"about_ca_topic_score_gemma":0.005350846,"domain_scores_codex":[0.995317,0.0006772011,0.0005995292,0.0006029936,0.002222729,0.0005806221],"domain_scores_gemma":[0.9779795,0.00280792,0.001025701,0.00495639,0.005042596,0.008187842],"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":[0.0002499172,0.00004258861,0.0002364456,0.0003503494,0.00004298101,0.00007291922,0.00009829437,0.0001248881,0.001419943,0.003593101,0.9575597,0.03620893],"study_design_scores_gemma":[0.00008285209,0.00003875297,0.0003586047,0.0003306482,0.00003362155,0.00008586144,0.00007136189,0.0004040471,0.001170617,0.004842357,0.9925153,0.00006610894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006217156,0.02058257,0.1517618,0.06827532,0.06237131,0.001326812,0.2700842,0.3670444,0.05233639],"genre_scores_gemma":[0.005961154,0.01107489,0.1198164,0.01346125,0.005439287,0.0009574373,0.7284977,0.07505752,0.03973423],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.9838001,"threshold_uncertainty_score":0.2472445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06879111455126755,"score_gpt":0.3758787683882639,"score_spread":0.3070876538369963,"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."}}