{"id":"W3160029165","doi":"10.3390/a14050152","title":"Predicting the Evolution of Syntenies—An Algorithmic Review","year":2021,"lang":"en","type":"article","venue":"Algorithms","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gene; Gene duplication; Gene family; Generalization; Extant taxon; Biology; Similarity (geometry); Order (exchange); Tree (set theory); Phylogenetic tree; Genetics; Computational biology; Evolutionary biology; Genome; Computer science; Artificial intelligence; Mathematics; Combinatorics","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":[0.0004932361,0.0001735403,0.0002308216,0.00002880199,0.0001119834,0.00001730668,0.0003324474,0.0001010324,0.0000677852],"category_scores_gemma":[0.0001810297,0.0001384156,0.0001494683,0.0002783365,0.0001006288,0.000008870571,0.0001871148,0.000126548,0.00001604602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004068407,"about_ca_system_score_gemma":0.0001968274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007850927,"about_ca_topic_score_gemma":0.00002742151,"domain_scores_codex":[0.9984936,0.0001738881,0.0003537505,0.00040468,0.0002919683,0.000282174],"domain_scores_gemma":[0.9986454,0.00001946232,0.0001542614,0.0007596876,0.0003440721,0.00007715313],"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":[0.00004179807,0.0006926986,0.009335008,0.001586538,0.0009454509,0.00008471055,0.0004441796,0.0001847795,0.7775465,0.000555636,0.007148608,0.2014342],"study_design_scores_gemma":[0.005730233,0.003573476,0.0400368,0.004054596,0.002035604,0.003014932,0.009575222,0.02717264,0.5912554,0.002195104,0.3077421,0.003613844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4298051,0.4824841,0.06947684,0.004101561,0.002469487,0.002561992,0.0003064114,0.0001721903,0.008622291],"genre_scores_gemma":[0.9080466,0.04572413,0.03461503,0.001683667,0.002819993,0.0003108408,0.001090672,0.0001882508,0.005520811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4782415,"threshold_uncertainty_score":0.5644424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071350904236873,"score_gpt":0.2546116138955052,"score_spread":0.2438981048531365,"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."}}