{"id":"W3091043901","doi":"10.1111/csp2.284","title":"Applying expert elicitation of viability and persistence to a lynx species status assessment","year":2020,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endangered species; Expert elicitation; Wildlife; Geography; Population; Threatened species; Persistence (discontinuity); Environmental resource management; Climate change; Habitat; Ecology; Biology; Environmental science; Environmental health; Engineering; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.08250553,0.001066461,0.0006849333,0.003680148,0.002036662,0.002839472,0.001458419,0.002346127,0.004416287],"category_scores_gemma":[0.1985572,0.0005912072,0.0009470482,0.002085844,0.001319305,0.002361639,0.005811102,0.001573825,0.0008370577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004028763,"about_ca_system_score_gemma":0.004867189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00390543,"about_ca_topic_score_gemma":0.008129548,"domain_scores_codex":[0.8906689,0.08811395,0.009060451,0.002908799,0.007691871,0.001556075],"domain_scores_gemma":[0.6076056,0.3273276,0.01769253,0.008875234,0.03664505,0.001853897],"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":[0.002547289,0.001123538,0.05527446,0.02090554,0.0005261464,0.004479402,0.3596278,0.01701851,0.03682161,0.01120014,0.02328872,0.4671869],"study_design_scores_gemma":[0.0008685168,0.004056668,0.09050634,0.02014666,0.001349525,0.002601165,0.3561732,0.09842569,0.04968289,0.07828275,0.29674,0.001166419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6860968,0.002340827,0.2244739,0.01208036,0.0004960522,0.01239226,0.003712659,0.0004252862,0.05798176],"genre_scores_gemma":[0.7671787,0.00164146,0.2151336,0.002580699,0.0001639278,0.008413251,0.001479345,0.00006418673,0.003344854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08250553,"threshold_uncertainty_score":0.4363362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07932100698477386,"score_gpt":0.3273693697580663,"score_spread":0.2480483627732925,"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."}}