{"id":"W3192299115","doi":"10.1007/s00285-022-01734-2","title":"Identifiability of species network topologies from genomic sequences using the logDet distance","year":2022,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Division of Mathematical Sciences; National Institute of General Medical Sciences; Simons Foundation","keywords":"Coalescent theory; Identifiability; Ultrametric space; Inference; Biology; Tree (set theory); Gene regulatory network; Computational biology; Computer science; Gene; Mathematics; Phylogenetic tree; Genetics; Artificial intelligence; Machine learning; Combinatorics; Discrete mathematics","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":[0.005279558,0.0008766134,0.001352413,0.004462701,0.0009226345,0.002137201,0.002250641,0.001990477,0.002349662],"category_scores_gemma":[0.05162336,0.0008672192,0.001042336,0.003122649,0.00220199,0.005957998,0.002728983,0.002725209,0.0005444937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404448,"about_ca_system_score_gemma":0.001310412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703671,"about_ca_topic_score_gemma":0.001410743,"domain_scores_codex":[0.9977095,0.001140062,0.0001285563,0.0005900998,0.0003272617,0.0001044109],"domain_scores_gemma":[0.9206505,0.06779587,0.005239258,0.003165974,0.002197202,0.0009511172],"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":[0.0004506001,0.00016858,0.01764239,0.0004914287,0.0001987599,0.0004647629,0.0006265791,0.6563257,0.004368074,0.2460363,0.003443473,0.0697834],"study_design_scores_gemma":[0.000018865,0.00003394072,0.001198415,0.00003474334,0.0000130254,0.0001195912,0.00005388025,0.7432945,0.0005188536,0.2541452,0.000544944,0.00002411658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1403122,0.0005022882,0.8538423,0.001399598,0.00004593236,0.00006333627,0.001917757,0.000455629,0.001460905],"genre_scores_gemma":[0.8674931,0.001059014,0.1234338,0.0003066827,0.000186657,0.0002613865,0.005112676,0.0001892563,0.001957428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005279558,"threshold_uncertainty_score":0.02792132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439241863317203,"score_gpt":0.2700851443151575,"score_spread":0.2456927256819855,"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."}}