{"id":"W2160471209","doi":"10.1007/978-3-540-39763-2_21","title":"Distance Corrections on Recombinant Sequences","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Pairwise comparison; Phylogenetic tree; Computer science; Sequence (biology); Tree (set theory); Recombination; Mosaic; Algorithm; Multiple sequence alignment; Theoretical computer science; Sequence alignment; Combinatorics; Artificial intelligence; Mathematics; Biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001459243,0.001043964,0.0009324774,0.002074646,0.001013534,0.001120307,0.002053052,0.001081605,0.01543535],"category_scores_gemma":[0.008146206,0.0006064299,0.001067312,0.002260626,0.0007984118,0.001777109,0.002225098,0.002243143,0.008190486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007925436,"about_ca_system_score_gemma":0.0006406637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008466339,"about_ca_topic_score_gemma":0.001548213,"domain_scores_codex":[0.9978174,0.0005705578,0.0001233638,0.0004131215,0.0009132743,0.000162261],"domain_scores_gemma":[0.9959028,0.001088904,0.0002141298,0.001840691,0.0008407863,0.0001126637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003428897,0.0001390149,0.0007164454,0.0003251222,0.00007005218,0.0003841661,0.0002179466,0.02391122,0.05354698,0.1961029,0.02310041,0.7011428],"study_design_scores_gemma":[0.0001100272,0.0002403243,0.001897797,0.0001289734,0.00009371182,0.001324979,0.0001727285,0.3328891,0.1916566,0.3356467,0.1357383,0.0001008291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0161565,0.0003536358,0.9697121,0.0002491674,0.0006505047,0.00006952594,0.0002413324,0.003228157,0.009339046],"genre_scores_gemma":[0.1146531,0.0004173658,0.8538567,0.0001664278,0.0002333632,0.0001260578,0.001467621,0.002245594,0.02683385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01543535,"threshold_uncertainty_score":0.05163634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340269222254661,"score_gpt":0.2336340488014796,"score_spread":0.220231356578933,"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."}}