{"id":"W4390837555","doi":"10.1101/2024.01.12.575368","title":"Recurrent Evolutionary Innovations in Rodent and Primate <i>Schlafen</i> Genes","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Fondation pour la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Biology; Evolutionary biology; Lineage (genetic); Gene; Natural selection; Evolvability; Molecular evolution; Selection (genetic algorithm); Phylogenetics; Genetics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004094783,0.0001808264,0.0002540156,0.0007837471,0.0003458183,0.000420242,0.0002660656,0.0003914094,0.001149389],"category_scores_gemma":[0.0005191965,0.000139932,0.0002574292,0.0005990783,0.0006252424,0.00039363,0.0005185647,0.0004894016,0.0003143481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785738,"about_ca_system_score_gemma":0.0001451115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002748889,"about_ca_topic_score_gemma":0.0005328305,"domain_scores_codex":[0.9997993,0.00003410741,0.000009871455,0.00007946751,0.00004205052,0.0000351161],"domain_scores_gemma":[0.9997218,0.00007162466,0.0001115655,0.00002887596,0.000023849,0.00004230021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004926416,0.00005161843,0.1097621,0.0002374285,0.000181059,0.001841498,0.0008434514,0.002062282,0.8285723,0.003601675,0.0005034963,0.05185052],"study_design_scores_gemma":[0.00005039,0.0006175735,0.8502711,0.000138298,0.0002360943,0.009220815,0.001125387,0.01275639,0.09289484,0.004991773,0.0276018,0.00009551223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966922,0.000486644,0.001541989,0.0000796134,0.000004940601,0.000006225809,0.0001261731,0.0000397184,0.001022444],"genre_scores_gemma":[0.9966702,0.0003155496,0.002091815,0.00008702508,0.00001385674,0.00001164123,0.0003621589,0.00002745334,0.0004203292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001149389,"threshold_uncertainty_score":0.003845096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220118652337821,"score_gpt":0.2264489950662433,"score_spread":0.2142478085428651,"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."}}