{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473759,0.00006866178,0.00009121071,0.00003197736,0.0002986155,0.00006306541,0.000108397,0.00002851415,0.0001232804],"category_scores_gemma":[0.005301523,0.0000669118,0.000008951764,0.0006856325,0.0006067244,0.00158581,0.0001406274,0.00006684009,0.00001138229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007348805,"about_ca_system_score_gemma":0.0001115591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002087147,"about_ca_topic_score_gemma":0.00002196582,"domain_scores_codex":[0.9988449,0.0001056475,0.0001891188,0.0003239429,0.0003881773,0.000148242],"domain_scores_gemma":[0.9987605,0.0007084043,0.0001363459,0.000109535,0.0001355961,0.0001496066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001023868,0.00004040484,0.8642186,0.00001416098,0.000004305678,8.38418e-7,0.007675039,0.00006347713,0.1095522,0.001026247,0.001538827,0.0157635],"study_design_scores_gemma":[0.0001338332,0.0001258101,0.9072625,0.000004787769,0.000009033582,0.000003896315,0.005399748,0.004852889,0.0005149591,0.0001041292,0.08150332,0.0000850712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354537,0.00002108528,0.003419723,0.05438486,0.0000431353,0.0003975822,0.000002320415,0.00001504649,0.006262583],"genre_scores_gemma":[0.9630904,0.00004149986,0.01608274,0.02068335,0.00001218934,0.00005295212,0.000001218923,0.000002311618,0.00003338832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090372,"threshold_uncertainty_score":0.6346801,"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."}}