{"id":"W3109747353","doi":"10.1002/jwmg.21978","title":"Integrating Genetic Data and Demographic Modeling to Facilitate Conservation of Small, Isolated Mountain Goat Populations","year":2020,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Panmixia; Population; Genetic diversity; Genetic structure; Ecology; Biology; Conservation genetics; Geography; Population genetics; Isolation by distance; Threatened species; Demography; Habitat; Microsatellite","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":[0.004258069,0.0002567907,0.0002124818,0.0008313325,0.0003045944,0.0009424934,0.0007288741,0.0003209304,0.0008383528],"category_scores_gemma":[0.007777673,0.0002116261,0.0003330123,0.0006953769,0.0003658102,0.001137401,0.0007829298,0.0005103499,0.00007552915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009005012,"about_ca_system_score_gemma":0.001172253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095593,"about_ca_topic_score_gemma":0.02949559,"domain_scores_codex":[0.9991763,0.0005903621,0.00003065807,0.0001122765,0.00006402428,0.00002626501],"domain_scores_gemma":[0.9969633,0.002076652,0.0005035508,0.0001592088,0.0001967929,0.0001003927],"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":[0.00007794988,0.0002443646,0.2290711,0.00009801107,0.0003357513,0.000156844,0.0008782427,0.6891136,0.001537843,0.01820459,0.001168186,0.0591135],"study_design_scores_gemma":[0.00001110354,0.00006254249,0.01637783,0.00003355371,0.00004049832,0.00002797799,0.000478546,0.9710543,0.0002065717,0.01055011,0.001141859,0.00001508872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.840782,0.0002026285,0.1529582,0.00140992,0.0000217922,0.0001001928,0.0003815336,0.0001477374,0.003996154],"genre_scores_gemma":[0.9472085,0.00009623614,0.05215104,0.00006911905,0.00001253961,0.0000570715,0.0001580245,0.0000124973,0.0002349833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01095593,"threshold_uncertainty_score":0.02251905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08101611527634746,"score_gpt":0.268703773352391,"score_spread":0.1876876580760435,"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."}}