{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001109497,0.0001869014,0.0001736451,0.00009664278,0.001100808,0.0003708642,0.00126295,0.0002404685,0.0002356481],"category_scores_gemma":[0.0008296262,0.0001865371,0.00009645378,0.00006386371,0.0003986342,0.00001362313,0.001059421,0.0004313665,0.0003033619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004023328,"about_ca_system_score_gemma":0.0003056429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261697,"about_ca_topic_score_gemma":0.0005020458,"domain_scores_codex":[0.9978424,0.0001275117,0.0002116065,0.0005797552,0.0005481093,0.0006905618],"domain_scores_gemma":[0.99756,0.00002000654,0.00009417159,0.001739803,0.0002383815,0.0003476076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001510101,0.0001341477,0.02584715,0.00008395841,0.00008693184,0.00006478295,0.001787426,0.00007170001,0.8839725,0.000416189,0.06017004,0.02721422],"study_design_scores_gemma":[0.002245868,0.0009092471,0.03287301,0.00007050166,0.00002289656,0.0000276563,0.0008917951,0.001461408,0.3394274,0.002420546,0.618804,0.0008457496],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815459,0.0006242921,0.003581858,0.001354344,0.0002234216,0.0002815226,0.000009382615,0.00002565304,0.01235367],"genre_scores_gemma":[0.9631605,0.000327458,0.005969583,0.0001581543,0.0008100324,0.00001245782,0.00003008452,0.00005459086,0.0294771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5586339,"threshold_uncertainty_score":0.8466637,"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."}}