{"id":"W4393950665","doi":"10.1093/genetics/iyae050","title":"WormBase 2024: status and transitioning to Alliance infrastructure","year":2024,"lang":"en","type":"article","venue":"Genetics","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":275,"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; National Heart, Lung, and Blood Institute; Medical Research Council","keywords":"Alliance; Caenorhabditis elegans; Biology; Genome; State (computer science); Key (lock); Knowledge management; Genetics; Computational biology; Data science; Political science; Gene; Ecology; Computer science","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":[0.00007732143,0.0001760723,0.0001094366,0.00004125311,0.00007811886,0.0001174003,0.0001114395,0.0001292676,0.0000625417],"category_scores_gemma":[0.00001639444,0.0001830975,0.00004468616,0.0001119088,0.00006026399,0.000002880234,0.00008600758,0.0001203444,0.00002588879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001383991,"about_ca_system_score_gemma":0.00008016823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005988946,"about_ca_topic_score_gemma":0.00006734038,"domain_scores_codex":[0.9989459,0.00002378461,0.000156371,0.0004205054,0.00012522,0.0003282063],"domain_scores_gemma":[0.9994597,0.000006598842,0.00001620038,0.0002714896,0.00004562805,0.0002004004],"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":[0.0000377557,0.00002833537,0.005363634,0.0001977096,0.0001220992,0.00002719536,0.00279531,0.01316344,0.9128383,0.000219914,0.02615695,0.03904932],"study_design_scores_gemma":[0.0004834511,0.0005840834,0.02263641,0.0000978839,0.0001093139,0.00007925259,0.0003397226,0.002880042,0.2486386,0.001307737,0.7219983,0.0008452829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558154,0.01042852,0.03217998,0.0004593575,0.0005201775,0.0001818603,0.00005714517,0.00003218218,0.0003253865],"genre_scores_gemma":[0.9793293,0.002214802,0.01604921,0.0008466137,0.0004056253,0.00001148029,0.00006097832,0.00004224018,0.00103977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6958413,"threshold_uncertainty_score":0.74665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005836938480321863,"score_gpt":0.235629752362105,"score_spread":0.2297928138817831,"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."}}