{"id":"W2120976598","doi":"10.1093/molbev/mss200","title":"Measuring Community Similarity with Phylogenetic Networks","year":2012,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Genome Atlantic; Canada Research Chairs; Killam Trusts; Tula Foundation","keywords":"Phylogenetic tree; Biology; UniFrac; Similarity (geometry); Phylogenetic diversity; Taxon; Community structure; Species richness; Evolutionary biology; Ecology; Artificial intelligence; Computer science; Paleontology","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":[0.003150521,0.0007845377,0.0006956391,0.01188274,0.0008344992,0.002037453,0.0008816276,0.0009767188,0.002315148],"category_scores_gemma":[0.02014381,0.0004387606,0.000931411,0.007624734,0.0009230588,0.003402661,0.002642903,0.0008858151,0.0004191637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123928,"about_ca_system_score_gemma":0.0005113181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002091711,"about_ca_topic_score_gemma":0.001846447,"domain_scores_codex":[0.9967456,0.001327746,0.0002774542,0.0007725889,0.0007299508,0.0001467404],"domain_scores_gemma":[0.990415,0.005831829,0.001909382,0.000788648,0.0007888425,0.0002663194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006310581,0.0003357865,0.2735629,0.001374378,0.001729492,0.0004714985,0.003518187,0.2696381,0.03161121,0.06638961,0.003839151,0.3468985],"study_design_scores_gemma":[0.00003638229,0.0001701092,0.07180244,0.0001504275,0.0001378434,0.0004839559,0.0007656586,0.8157074,0.00568882,0.09869278,0.00626335,0.000100886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3970663,0.001035995,0.5913088,0.0002344269,0.00004579181,0.0003181803,0.003222985,0.001144922,0.005622701],"genre_scores_gemma":[0.8196483,0.0002838479,0.1764318,0.00005055902,0.00004355302,0.0003758111,0.002520362,0.00009058135,0.0005552095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01188274,"threshold_uncertainty_score":0.01666176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704928794379246,"score_gpt":0.234843162907643,"score_spread":0.2177938749638505,"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."}}