{"id":"W2134424061","doi":"10.1146/annurev.genom.8.080706.092300","title":"Computation and Analysis of Genomic Multi-Sequence Alignments","year":2007,"lang":"en","type":"review","venue":"Annual Review of Genomics and Human Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Genome; Computational biology; Annotation; Alignment-free sequence analysis; Sequence (biology); Computer science; Sequence alignment; Genomics; Key (lock); Computational genomics; Biology; Genetics; Gene; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004880552,0.0004045271,0.001852926,0.0002266698,0.00008173651,0.00001207145,0.0002515136,0.0002263739,0.000003961129],"category_scores_gemma":[0.00001880014,0.0003770366,0.000439968,0.0001872222,0.0002744344,8.526962e-7,0.0003995335,0.00009455682,7.909102e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002246529,"about_ca_system_score_gemma":0.0001051311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001884624,"about_ca_topic_score_gemma":0.00002537748,"domain_scores_codex":[0.997843,0.00009024786,0.001159069,0.0005384643,0.0001355097,0.0002337133],"domain_scores_gemma":[0.9983466,0.00003575416,0.0009086297,0.0003988465,0.0002074558,0.0001027544],"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":[0.000006966189,0.0001093892,0.0004834145,0.05350374,0.004941329,0.000002254108,0.0002022676,0.00002694093,0.004567442,0.000169323,0.0001121654,0.9358748],"study_design_scores_gemma":[0.0002773652,0.0004189417,0.002015165,0.004971561,0.009904544,0.0000140755,0.00005083002,0.00003015187,0.00009216517,0.00003149175,0.9815689,0.0006247759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01452503,0.9835687,0.0002493683,0.000002615588,0.00004980687,0.0006044508,0.0009280718,0.000001202698,0.00007074501],"genre_scores_gemma":[0.001461747,0.9945723,0.003136975,0.00007970908,0.00005726614,0.00001403183,0.0005886715,0.00004211807,0.00004722019],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9814568,"threshold_uncertainty_score":0.9998682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06132573362711182,"score_gpt":0.3799124433055167,"score_spread":0.3185867096784049,"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."}}