{"id":"W2107387420","doi":"10.1093/sysbio/syp103","title":"Inferring and Validating Horizontal Gene Transfer Events Using Bipartition Dissimilarity","year":2010,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Heuristic; Tree (set theory); Context (archaeology); Horizontal gene transfer; Identification (biology); Algorithm; Time complexity; Polynomial; Reliability (semiconductor); Computer science; Exponential function; Reticulate; Biology; Mathematics; Artificial intelligence; Phylogenetic tree; Gene; Combinatorics; Genetics; Physics; Ecology","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":[0.002076766,0.0004963651,0.0009597656,0.002423929,0.0009181866,0.001184818,0.001102413,0.0008759879,0.001325102],"category_scores_gemma":[0.01377085,0.0002888101,0.0007187836,0.001577305,0.0006588933,0.001592273,0.001147534,0.0007770627,0.0005728881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007190104,"about_ca_system_score_gemma":0.0008402967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001792106,"about_ca_topic_score_gemma":0.002403694,"domain_scores_codex":[0.9984028,0.0005632972,0.0001209427,0.000447806,0.0003661712,0.00009903137],"domain_scores_gemma":[0.9942212,0.003511588,0.0007118131,0.0007343987,0.0006291216,0.0001918576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009408916,0.00032062,0.04578369,0.000390555,0.0002569741,0.0002960752,0.0006170653,0.3101928,0.08643869,0.01295075,0.0007733012,0.5410386],"study_design_scores_gemma":[0.00003121923,0.0001421037,0.005555892,0.00001069866,0.00002482192,0.0002136071,0.0001176469,0.9705765,0.01411675,0.008287505,0.0009003356,0.00002288423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2610627,0.0001950612,0.7367383,0.00008429524,0.00001902787,0.00005485075,0.0001716618,0.0007712649,0.0009028379],"genre_scores_gemma":[0.5275003,0.00006359869,0.4713617,0.00002199757,0.00001046372,0.00003678287,0.000540247,0.0001102148,0.0003547455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002423929,"threshold_uncertainty_score":0.01098311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033264634033061,"score_gpt":0.2704887837036182,"score_spread":0.2501561373632876,"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."}}