{"id":"W2242495478","doi":"10.1086/682073","title":"Single-sample estimation of effective population size in several populations of the endangered Hine’s emerald dragonfly","year":2015,"lang":"en","type":"article","venue":"Freshwater Science","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; University of Wisconsin-Milwaukee","keywords":"Endangered species; Population; Range (aeronautics); Ecology; Geography; Habitat; Population size; Distance sampling; Biology; Demography","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":[0.0002175485,0.00006631437,0.00008456713,0.00005344108,0.00005829677,0.00001245688,0.0002184066,0.000052089,0.000009171381],"category_scores_gemma":[0.0004564204,0.00005117174,0.00003552406,0.0002957983,0.0001447305,0.00001868152,0.0001139046,0.00003629276,5.445348e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002625115,"about_ca_system_score_gemma":0.0000472864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461519,"about_ca_topic_score_gemma":0.001400698,"domain_scores_codex":[0.9992613,0.00005270194,0.0001700841,0.0001669744,0.0002371086,0.0001118198],"domain_scores_gemma":[0.9994864,0.00001236397,0.0001152248,0.0002192596,0.0001289388,0.00003785395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007958787,0.00007240717,0.4605959,0.00002248887,0.000008365803,2.707447e-7,0.002304768,0.1458327,0.3869654,0.0004604968,0.000378755,0.003278858],"study_design_scores_gemma":[0.0003761828,0.00009103661,0.7802558,0.00001291465,0.000007276002,0.000001816142,0.00003472058,0.005450135,0.2110647,0.00230671,0.0003187628,0.00007993887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971207,0.00001642866,0.002180252,0.0001405155,0.000237929,0.0001812937,0.00006068853,0.000003104583,0.0000590993],"genre_scores_gemma":[0.9903871,3.164433e-7,0.009423949,0.00005256199,0.0000198723,0.000002716712,0.00004974527,0.00000300645,0.00006077182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3196599,"threshold_uncertainty_score":0.220939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222781504621491,"score_gpt":0.2581287437247651,"score_spread":0.2359009286785502,"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."}}