{"id":"W4409856712","doi":"10.1007/s11274-025-04361-3","title":"Studying sleep orthologs in Epsilonproteobacteria through an evolutionary lens: investigating sleep mysteries through phylogenomics","year":2025,"lang":"en","type":"article","venue":"World Journal of Microbiology and Biotechnology","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Phylogenomics; Sleep (system call); Neuroscience; Biology; Evolutionary biology; Genetics; Phylogenetics; Computer science; Gene","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":[0.0003858879,0.0002469649,0.0004584754,0.0002398322,0.0001567544,0.00001477907,0.0003857508,0.0005687095,0.000008315346],"category_scores_gemma":[0.0001646928,0.0002173884,0.00007836802,0.0002897015,0.0006173136,0.00003516332,0.0003114957,0.0004642214,0.000001125495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003586762,"about_ca_system_score_gemma":0.000122171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001972456,"about_ca_topic_score_gemma":0.0002193913,"domain_scores_codex":[0.9984098,0.0001630011,0.000616752,0.0004057471,0.00003295361,0.0003717394],"domain_scores_gemma":[0.9991834,0.00003329324,0.0003767847,0.000276365,0.00009938372,0.00003079817],"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":[0.000198942,0.0001050573,0.003055851,0.00003882238,0.00009794071,0.00002205311,0.0001429893,0.00001796462,0.9910669,0.003731117,0.0000459579,0.001476453],"study_design_scores_gemma":[0.001054982,0.0008210933,0.0007506445,0.000115667,0.00004668089,0.0009387147,0.0006037737,0.00001189295,0.9594683,0.008661782,0.0272809,0.0002455355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906977,0.004005677,0.002536507,0.001952033,0.0004176115,0.0001992773,0.0000212796,0.00001689547,0.0001529614],"genre_scores_gemma":[0.98222,0.001748817,0.01457065,0.00128464,0.00007066537,0.00001078018,0.00002284909,0.00001475396,0.00005685648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03159852,"threshold_uncertainty_score":0.8864843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457669217278558,"score_gpt":0.2489641835253179,"score_spread":0.2343874913525323,"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."}}