{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02615654,0.0006228538,0.001029607,0.001554433,0.001058592,0.002358943,0.00202977,0.001506407,0.003956401],"category_scores_gemma":[0.0927837,0.0003317527,0.001059632,0.002095952,0.002187675,0.002288924,0.002160984,0.002956629,0.0006186532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000962059,"about_ca_system_score_gemma":0.0008327656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006183696,"about_ca_topic_score_gemma":0.006767549,"domain_scores_codex":[0.9894633,0.00712531,0.0004485245,0.001279741,0.001117292,0.000565769],"domain_scores_gemma":[0.8437181,0.128438,0.007472674,0.01124337,0.007095791,0.002032102],"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":[0.001272487,0.0001501593,0.2550792,0.000232429,0.0006689274,0.0003013099,0.0003263336,0.6735117,0.001985453,0.01155294,0.00489275,0.05002629],"study_design_scores_gemma":[0.0000771238,0.0005178111,0.06181197,0.0001675841,0.0002214094,0.0003311973,0.0004371526,0.9040089,0.005873175,0.02264418,0.003803372,0.0001061508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.886757,0.0006088383,0.1014508,0.001428305,0.0001721888,0.00006803704,0.003247143,0.0009618024,0.005305905],"genre_scores_gemma":[0.9668558,0.000059069,0.02992164,0.0002250585,0.00003250166,0.0000299011,0.002192755,0.0001168243,0.0005664459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02615654,"threshold_uncertainty_score":0.1383306,"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."}}