{"id":"W4411192972","doi":"10.1093/gbe/evaf106","title":"Dynamic Birth and Death of Argonaute Gene Family Functional Repertoire Across <i>Caenorhabditis</i> Nematodes","year":2025,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; University of Toronto; Innovation, Science and Economic Development Canada","keywords":"Biology; Repertoire; Argonaute; Caenorhabditis elegans; Gene; Genetics; Evolutionary biology; Caenorhabditis; Gene family; RNA interference; Genome; RNA","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001758353,0.0001558754,0.0001915629,0.00004293326,0.0002135833,0.00001089949,0.00008601842,0.0002597617,0.000003865318],"category_scores_gemma":[0.00002560561,0.0001517614,0.00004807946,0.0000610583,0.0002571516,0.000004769257,0.000154738,0.0000782743,0.000001852701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001914059,"about_ca_system_score_gemma":0.00006776466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006145224,"about_ca_topic_score_gemma":0.0000558961,"domain_scores_codex":[0.9990357,0.00005481428,0.0002216217,0.0004002892,0.00004389945,0.0002436781],"domain_scores_gemma":[0.9995572,0.00001158333,0.00007926894,0.0002210611,0.00008142742,0.00004943445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008527878,0.00003350178,0.08469018,0.00005352871,0.00008136243,6.576566e-7,0.00007852267,0.0001120431,0.9124202,0.001598779,0.00006375003,0.0007822413],"study_design_scores_gemma":[0.0007363744,0.0002761118,0.9658159,0.00001447755,0.00004247817,0.00004274747,0.0001462108,0.0003561154,0.02169746,0.005219715,0.005416795,0.0002356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350638,0.01436795,0.04983044,0.0001070761,0.0002392032,0.0001174042,0.0001182167,0.0000137065,0.000142216],"genre_scores_gemma":[0.995809,0.001972618,0.001085583,0.0002469956,0.00006390696,0.00001170829,0.0002588223,0.000009939502,0.0005414482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8907227,"threshold_uncertainty_score":0.618865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006035635616407412,"score_gpt":0.2368850401474131,"score_spread":0.2308494045310057,"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."}}