{"id":"W2518620738","doi":"10.7717/peerj.2350","title":"I-HEDGE: determining the optimum complementary sets of taxa for conservation using evolutionary isolation","year":2016,"lang":"en","type":"article","venue":"PeerJ","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Complementarity (molecular biology); Phylogenetic diversity; Phylogenetic tree; Endangered species; Taxon; Extinction (optical mineralogy); Biodiversity; Biology; Evolutionary biology; Ecology; Geography","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":[0.00181409,0.0006193219,0.0008918351,0.0038375,0.0008801424,0.001299437,0.000799491,0.0005775746,0.00445628],"category_scores_gemma":[0.006728829,0.0002792038,0.0005784619,0.001590197,0.0006353323,0.001225134,0.001196679,0.0006400095,0.0005119457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008208487,"about_ca_system_score_gemma":0.001829683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666622,"about_ca_topic_score_gemma":0.006991248,"domain_scores_codex":[0.9991575,0.0002258744,0.00006553915,0.0001693647,0.0002718277,0.0001099159],"domain_scores_gemma":[0.9977354,0.001147079,0.0002564612,0.0001526122,0.0005065222,0.0002018643],"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":[0.0009999335,0.000517208,0.1056129,0.000980934,0.0004868887,0.0004715633,0.001256114,0.1303969,0.02551345,0.0207591,0.00968022,0.7033249],"study_design_scores_gemma":[0.00032635,0.001826882,0.07520485,0.0002337976,0.0003875603,0.0009653184,0.002550052,0.8046742,0.02473577,0.07202574,0.01688153,0.0001878751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5673373,0.0006599209,0.4150059,0.000435586,0.00006410045,0.0005478094,0.0020378,0.00118671,0.01272476],"genre_scores_gemma":[0.5467833,0.0001349729,0.4500242,0.00006833441,0.00002532203,0.0002464695,0.001530061,0.0001481645,0.001039275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00445628,"threshold_uncertainty_score":0.01490772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0817681193724463,"score_gpt":0.3055311241171794,"score_spread":0.2237630047447331,"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."}}