{"id":"W2563817773","doi":"10.5539/ijb.v9n2p1","title":"Genetic Tools for the Conservation of Wild Asian Elephants","year":2017,"lang":"en","type":"article","venue":"International Journal of Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asian elephant; Elephas; Flagship species; Poaching; Genetic diversity; Wildlife; Wildlife conservation; Biology; Endangered species; Gene flow; Population; Habitat fragmentation; Captive breeding; Ecology; Habitat; Conservation genetics; Habitat destruction; Wildlife trade; Range (aeronautics); Agroforestry; Microsatellite; Genetics; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001174625,0.0003812619,0.0003051697,0.001442503,0.0003663902,0.0007412247,0.0006144348,0.0004998296,0.004566558],"category_scores_gemma":[0.001310797,0.0001163233,0.000309139,0.001415915,0.0005695045,0.0009360683,0.000639111,0.0007844567,0.0008416393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252094,"about_ca_system_score_gemma":0.0005981937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008477847,"about_ca_topic_score_gemma":0.00113714,"domain_scores_codex":[0.9996394,0.0001313639,0.00003055049,0.000063973,0.0001058761,0.00002892871],"domain_scores_gemma":[0.9995703,0.0001322609,0.0001164695,0.00005245893,0.00007688625,0.00005164095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002869142,0.0002958375,0.01307992,0.001350845,0.00009026322,0.001433072,0.0007167709,0.001095535,0.1790265,0.02188449,0.007193921,0.773546],"study_design_scores_gemma":[0.0003592084,0.001822416,0.08339269,0.002344037,0.0007056669,0.008693566,0.002898871,0.007226546,0.09785706,0.0814448,0.7130784,0.0001766551],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3796253,0.1313384,0.3451528,0.01850358,0.002877578,0.0009806725,0.005988595,0.003093673,0.1124395],"genre_scores_gemma":[0.4898727,0.06401192,0.4164006,0.002181759,0.001195822,0.0008235369,0.003583655,0.0002268769,0.02170314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004566558,"threshold_uncertainty_score":0.01527661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772600119128182,"score_gpt":0.3120476160801281,"score_spread":0.2843216148888463,"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."}}