{"id":"W2950933037","doi":"10.1111/acv.12495","title":"The effect of phylogenetic uncertainty and imputation on <scp>EDGE</scp> Scores","year":2019,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Division of Emerging Frontiers","keywords":"Imputation (statistics); Phylogenetic tree; Missing data; Biology; Phylogenetics; Optimal distinctiveness theory; Supertree; Endangered species; Evolutionary biology; Ecology; Machine learning; Computer science; Habitat; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002046098,0.00006412977,0.00007406475,0.00001051345,0.00006841413,0.000009514715,0.00006027786,0.0000465887,0.00001757375],"category_scores_gemma":[0.00009746604,0.00003898628,0.00002043333,0.00006725516,0.0001660587,0.00003456131,0.00003647761,0.00004020778,0.0001129084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002109684,"about_ca_system_score_gemma":0.000004592394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001559211,"about_ca_topic_score_gemma":0.00008348701,"domain_scores_codex":[0.9994861,0.00008843084,0.0001017008,0.0001395515,0.00008659593,0.00009756565],"domain_scores_gemma":[0.999332,0.0004749634,0.0000758572,0.00009087103,0.000006034677,0.0000202805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005713905,0.0000050782,0.8485649,0.000008632596,0.000005382283,2.473908e-7,0.00007698902,0.0001909547,0.1435395,0.000245034,0.000548077,0.006757979],"study_design_scores_gemma":[0.0002447335,0.001338309,0.9812503,0.000007505673,0.000006138035,0.000001739614,0.00003353091,0.002757847,0.01252195,0.0001554151,0.001659507,0.00002296791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978043,0.00004729682,0.000007584043,0.0001336574,0.00005199861,0.0002273345,0.00000175996,0.000008392596,0.001717614],"genre_scores_gemma":[0.9994847,0.00001985362,0.00002026956,0.0001552043,0.00001319091,0.000005899802,0.000005160371,0.000004002289,0.0002917458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1326854,"threshold_uncertainty_score":0.1589814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006461188698874598,"score_gpt":0.2192566989298816,"score_spread":0.212795510231007,"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."}}