{"id":"W1964254484","doi":"10.5220/0005255701950200","title":"Application of Ant Colony Optimization for Mapping the Combinatorial Phylogenetic Search Space","year":2015,"lang":"en","type":"article","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ant colony optimization algorithms; Computer science; Phylogenetic tree; ANT; Space (punctuation); Ant colony; Artificial intelligence; Combinatorial optimization; Theoretical computer science; Algorithm; Biology; Computer network; Genetics","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":[0.0006183694,0.0007178314,0.0008414749,0.001061404,0.0005313721,0.0007639341,0.0008493569,0.0007552023,0.00187672],"category_scores_gemma":[0.002693248,0.000390658,0.0006018124,0.0009790573,0.0004878918,0.0005514099,0.0009341309,0.0006621034,0.0002896815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004261276,"about_ca_system_score_gemma":0.0009718904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0045123,"about_ca_topic_score_gemma":0.003444873,"domain_scores_codex":[0.9997135,0.0001105084,0.00001424905,0.00004849568,0.00008737718,0.00002583569],"domain_scores_gemma":[0.9991172,0.0005379656,0.00006193526,0.00007425281,0.0001658009,0.00004280767],"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":[0.00006330435,0.00006571585,0.001190245,0.00009234882,0.0000612393,0.0000951664,0.00009710931,0.8642175,0.005696982,0.007851679,0.0009197107,0.119649],"study_design_scores_gemma":[0.00000537989,0.00001463117,0.00007250327,0.000002761853,0.000005280586,0.00001692936,0.000007205065,0.9973339,0.0004920527,0.001677109,0.0003697897,0.000002440586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04984939,0.0002830242,0.942436,0.0001853839,0.00006581986,0.0001004576,0.00006316537,0.0007826712,0.006234116],"genre_scores_gemma":[0.4235212,0.0002160126,0.5730472,0.00006813024,0.00002834393,0.0001483397,0.00009594426,0.0002182405,0.002656589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0045123,"threshold_uncertainty_score":0.008972108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04089499193563619,"score_gpt":0.2765143256729495,"score_spread":0.2356193337373133,"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."}}