{"id":"W3207497253","doi":"10.1093/gbe/evab234","title":"Genic Selection Within Prokaryotic Pangenomes","year":2021,"lang":"en","type":"review","venue":"Genome Biology and Evolution","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Servier","keywords":"Biology; Selection (genetic algorithm); Evolutionary biology; Mobile genetic elements; Niche; Gene; Stabilizing selection; Positive selection; Natural selection; Balancing selection; Negative selection; Genetics; Genetic variation; Ecology; Genome; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002342392,0.0003699176,0.0007703386,0.00007577681,0.0002130935,0.00001880678,0.000143027,0.0006445536,0.00001180527],"category_scores_gemma":[0.00004413419,0.000321627,0.0002390277,0.0001524157,0.0001443796,7.812301e-7,0.0002297444,0.0001805678,0.00001851758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005988022,"about_ca_system_score_gemma":0.000281481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001360265,"about_ca_topic_score_gemma":0.00002786995,"domain_scores_codex":[0.9982963,0.000224955,0.0003956584,0.0007136773,0.00004343002,0.0003260167],"domain_scores_gemma":[0.9993399,0.0000159984,0.0002267085,0.0002649952,0.0000787802,0.00007366285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000104876,0.0003639181,0.01030552,0.01421072,0.007336378,0.00001526786,0.0003936314,0.00006392676,0.06560458,0.006433469,0.001234206,0.8939335],"study_design_scores_gemma":[0.0001365947,0.0002845921,0.001205139,0.0001665504,0.00045962,0.0001515573,0.00002740804,0.000002674625,0.00002177763,0.000199382,0.9969132,0.0004314952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004895471,0.9937833,0.0002366156,0.000009434744,0.000434243,0.0004166407,0.0000768981,0.000008032414,0.0001393704],"genre_scores_gemma":[0.007315335,0.9901175,0.0003716664,0.00002544113,0.0007579913,0.0001178694,0.0007364442,0.00003677937,0.000520938],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.995679,"threshold_uncertainty_score":0.9999236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208460120241361,"score_gpt":0.2843031095969809,"score_spread":0.2622185083945673,"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."}}