{"id":"W2141375003","doi":"10.1142/s0219720004000557","title":"ANCESTRAL MAXIMUM LIKELIHOOD OF EVOLUTIONARY TREES IS HARD","year":2004,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; McGill University","funders":"Israel Science Foundation; McGill University","keywords":"Maximum likelihood; Evolutionary biology; Biology; Phylogenetics; Tree rearrangement; Phylogenetic tree; Tree (set theory); Mathematics; Statistics; Combinatorics; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002490656,0.000809396,0.001961615,0.0008313967,0.001885758,0.004723589,0.002541113,0.00328317,0.008808886],"category_scores_gemma":[0.02595457,0.001252264,0.002368817,0.001823722,0.002643011,0.009830246,0.003816857,0.006352909,0.001533024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702349,"about_ca_system_score_gemma":0.001621588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130747,"about_ca_topic_score_gemma":0.001106052,"domain_scores_codex":[0.9966074,0.0008833784,0.0001919059,0.001144381,0.0007519383,0.0004210209],"domain_scores_gemma":[0.9575303,0.03804238,0.001069575,0.001816816,0.0009650577,0.0005758087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008122606,0.0003368313,0.006758002,0.002187796,0.0003258822,0.001770868,0.001893083,0.2353411,0.005235392,0.5654528,0.05348114,0.1264047],"study_design_scores_gemma":[0.0000959414,0.00002396847,0.0005735009,0.00006603263,0.0000363965,0.0006219698,0.0001977784,0.1363112,0.00156406,0.8518083,0.008675903,0.00002488671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.186122,0.003010857,0.7256191,0.02873603,0.0003306431,0.0003280625,0.006058575,0.001946057,0.04784864],"genre_scores_gemma":[0.8011838,0.002731923,0.1680423,0.004031124,0.001170799,0.0005410411,0.007171746,0.0008134958,0.01431373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008808886,"threshold_uncertainty_score":0.02946866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007763901412861236,"score_gpt":0.2454839679968209,"score_spread":0.2377200665839597,"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."}}