{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003233182,0.0001585796,0.0001331993,0.00002798029,0.0002886407,0.000007585741,0.00009901605,0.0001820378,0.000001660334],"category_scores_gemma":[0.00002998517,0.0001369832,0.00003879908,0.00005898148,0.0002036155,0.000001082196,0.0001547004,0.0001581343,0.000001583688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000129556,"about_ca_system_score_gemma":0.00001648802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005920281,"about_ca_topic_score_gemma":0.00005072242,"domain_scores_codex":[0.9990808,0.0002406004,0.0001134049,0.0001814018,0.00004068991,0.0003430957],"domain_scores_gemma":[0.9995312,0.00001166427,0.00004944361,0.0002662509,0.00005062738,0.0000908248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006663057,0.0000622483,0.4175339,0.000008832326,0.0001064709,4.195622e-7,0.00005120466,0.0003638038,0.5800356,0.001008627,0.00003040518,0.0007318218],"study_design_scores_gemma":[0.0007946916,0.0007473675,0.9439864,0.00001239952,0.00009624157,0.00007482295,0.0001574728,0.0001963985,0.04955906,0.001069625,0.002836089,0.0004694398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403033,0.01049021,0.04847278,0.00004314714,0.00009939523,0.0001192345,0.000006216088,0.000005683893,0.0004600483],"genre_scores_gemma":[0.9984035,0.0001832573,0.0009917703,0.000188138,0.0001399571,0.00002016081,0.00004264532,0.00001470093,0.0000158755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5304765,"threshold_uncertainty_score":0.5586014,"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."}}