{"id":"W2076795608","doi":"10.1142/s0219720008003527","title":"MANGO: MULTIPLE ALIGNMENT WITH N GAPPED OLIGOS","year":2008,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Multiple sequence alignment; Heuristics; Scalability; Computer science; Dynamic programming; Sequence (biology); Sequence alignment; Task (project management); State (computer science); Algorithm; Biology","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":[0.00009554651,0.00009395876,0.0001505502,0.0000479212,0.00008980044,0.000007222495,0.00007668597,0.0000519709,0.0000021783],"category_scores_gemma":[0.00001597894,0.00006563467,0.00004502036,0.0000329116,0.0001207063,0.000001658122,0.00005097301,0.00004580157,0.000001435881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005643562,"about_ca_system_score_gemma":0.0000669422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002246953,"about_ca_topic_score_gemma":0.00000190552,"domain_scores_codex":[0.9994296,0.00001556442,0.0003002473,0.00006503459,0.00007792189,0.0001116203],"domain_scores_gemma":[0.9994743,0.00002889148,0.0002274149,0.00005858073,0.000151385,0.00005946985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002773879,0.0009087276,0.6428013,0.0002741469,0.004137079,0.0001005376,0.005494029,0.05281775,0.2029788,0.01021734,0.01408699,0.0634094],"study_design_scores_gemma":[0.02229449,0.02299307,0.5975053,0.0001584114,0.0003183265,0.01689369,0.002795562,0.05355214,0.03414944,0.01184061,0.2350616,0.002437299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785954,0.0007158784,0.02007925,0.000163783,0.00007065485,0.00006409249,0.00001513653,9.267077e-7,0.0002949325],"genre_scores_gemma":[0.9675662,0.0005667713,0.0314119,0.0003129125,0.00009452899,0.000001687025,0.0000188009,0.000004920772,0.00002230275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2209746,"threshold_uncertainty_score":0.2676504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105151779553291,"score_gpt":0.2176171667524678,"score_spread":0.2071019887971387,"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."}}