{"id":"W2101921719","doi":"10.1007/978-3-642-21458-5_14","title":"Fast Error-Tolerant Quartet Phylogeny Algorithms","year":2011,"lang":"en","type":"preprint","venue":"Lecture notes in computer science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Heuristics; Probabilistic logic; Algorithm; Phylogenetic tree; Tree (set theory); Consistency (knowledge bases); Computer science; Topology (electrical circuits); Mathematics; Phylogenetics; Combinatorics; Theoretical computer science; Discrete mathematics; Artificial intelligence; Mathematical optimization; Biology","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":[0.004078452,0.001828419,0.003008256,0.002151434,0.001999697,0.002418641,0.004920816,0.003192608,0.01838059],"category_scores_gemma":[0.02080184,0.001332167,0.001799373,0.003442458,0.0009326195,0.004259503,0.005265718,0.004109145,0.006205237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021264,"about_ca_system_score_gemma":0.001634985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546366,"about_ca_topic_score_gemma":0.003578396,"domain_scores_codex":[0.9970189,0.0008387669,0.000245519,0.0007408225,0.0008623637,0.0002935741],"domain_scores_gemma":[0.9867681,0.00603614,0.0005888084,0.004024546,0.002014569,0.0005678435],"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":[0.001773617,0.0003799626,0.00210227,0.0004566634,0.0002220107,0.0002412207,0.0004588465,0.1211714,0.01238996,0.01504377,0.02046751,0.8252928],"study_design_scores_gemma":[0.0005081211,0.0003882688,0.0008773181,0.00005728325,0.00008374837,0.0002798637,0.0002136217,0.8978689,0.006774416,0.08644077,0.006457815,0.00004986338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0435557,0.0009014735,0.9426309,0.0007240208,0.0003942874,0.0002386884,0.0007186139,0.00841683,0.002419555],"genre_scores_gemma":[0.1710262,0.0002354208,0.8195063,0.0003947346,0.0001788117,0.0002611468,0.003185552,0.001604452,0.003607319],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01838059,"threshold_uncertainty_score":0.06148916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038671388425157,"score_gpt":0.2574871588415872,"score_spread":0.2371004449573356,"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."}}