{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0101607,0.0008275486,0.001259037,0.002297672,0.0008522288,0.001653892,0.002701943,0.001969894,0.003430631],"category_scores_gemma":[0.08163737,0.0007237866,0.001258358,0.001314152,0.002699494,0.0040059,0.004078095,0.002983287,0.001039977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757785,"about_ca_system_score_gemma":0.001452951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002432615,"about_ca_topic_score_gemma":0.001654391,"domain_scores_codex":[0.9970721,0.001560862,0.0001213358,0.000411979,0.0006700414,0.0001636642],"domain_scores_gemma":[0.9428596,0.04766876,0.002163058,0.002310657,0.004086366,0.0009115732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002814743,0.00005755697,0.005828925,0.0003503606,0.000110134,0.0003137654,0.0005349606,0.5860801,0.004396367,0.3449503,0.003313009,0.05378295],"study_design_scores_gemma":[0.000007305792,0.00001428094,0.0002598913,0.00002542202,0.000004572763,0.00005208365,0.00003187729,0.9255469,0.0006212319,0.07279103,0.0006352956,0.00001018544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0168169,0.0003320359,0.9799019,0.0004772803,0.00003220657,0.00003178728,0.00008250002,0.0002036571,0.002121695],"genre_scores_gemma":[0.4007498,0.0009057297,0.5904957,0.0004439678,0.0001254156,0.0003319861,0.0009209883,0.0005966701,0.005429732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0101607,"threshold_uncertainty_score":0.05373555,"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."}}