{"id":"W3169056119","doi":"10.3934/math.2021513","title":"Convergence of maximum likelihood supertree reconstruction","year":2021,"lang":"en","type":"article","venue":"AIMS Mathematics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Supertree; Mathematics; Tree (set theory); Metric (unit); Rate of convergence; Tree rearrangement; Convergence (economics); Maximum likelihood; Exponential growth; Combinatorics; Applied mathematics; Mathematical optimization; Algorithm; Statistics; Computer science; Phylogenetic tree; Biology; Mathematical analysis; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001210411,0.00009815412,0.0001496,0.00001619671,0.00003264457,0.0000113807,0.0001093024,0.0001174706,0.0001053201],"category_scores_gemma":[0.0000409745,0.00009389274,0.0000831986,0.00007470616,0.00005854166,0.000003642276,0.00008823934,0.00005698648,0.00002122397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005433374,"about_ca_system_score_gemma":0.00007814554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002257052,"about_ca_topic_score_gemma":0.0000138491,"domain_scores_codex":[0.9993034,0.00001261325,0.0003114761,0.0001286777,0.00008754486,0.0001562642],"domain_scores_gemma":[0.9993601,0.00001202989,0.0001155649,0.0003608219,0.0001017867,0.00004965952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005022013,0.0006042297,0.00397805,0.001091923,0.0005243892,0.00001621503,0.00154513,0.0001282246,0.836164,0.01730051,0.01963617,0.1189609],"study_design_scores_gemma":[0.0008830565,0.0002430636,0.0002783126,0.0001563467,0.00008371219,0.0004688981,0.001537479,0.005279107,0.8920803,0.08592309,0.01256934,0.0004972873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244962,0.0009633339,0.05895235,0.0001942544,0.0005590991,0.000149972,0.00002830789,0.00001535834,0.0146411],"genre_scores_gemma":[0.9396529,0.0005206346,0.05856761,0.0001760191,0.0001522915,0.000007251376,0.00007463882,0.00002227238,0.0008263403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1184637,"threshold_uncertainty_score":0.3828835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007839266455056065,"score_gpt":0.2117759452454717,"score_spread":0.2039366787904156,"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."}}