{"id":"W2173595707","doi":"10.1644/1545-1542(2003)084<0691:gvibbi>2.0.co;2","title":"GENETIC VARIATION IN BLACK BEARS IN ARKANSAS AND LOUISIANA USING MICROSATELLITE DNA MARKERS","year":2003,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Center, Louisiana State University; California Department of Fish and Wildlife; Harvard Forest, Harvard University; U.S. Fish and Wildlife Service; University of Arkansas; Virginia Polytechnic Institute and State University; U.S. Geological Survey; Louisiana State University; Harvard University","keywords":"Ursus; Subspecies; Microsatellite; Population; Geography; Genetic diversity; Ecology; Biology; Population genetics; Zoology; Allele; Demography; Genetics","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":[0.0005874467,0.00005778394,0.0001173372,0.00009498477,0.00002113726,0.000008150861,0.00005610403,0.00008169346,0.0002439463],"category_scores_gemma":[0.0000669801,0.00005849912,0.00001818088,0.0001569755,0.00008454186,0.0001327669,0.00001420896,0.0001292615,0.00001277992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231504,"about_ca_system_score_gemma":0.00002454611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120446,"about_ca_topic_score_gemma":0.0005165937,"domain_scores_codex":[0.9992041,0.0001808075,0.0003057715,0.00009455746,0.00007459043,0.0001401505],"domain_scores_gemma":[0.9996949,0.00005677629,0.000155304,0.00005028947,0.000006038901,0.00003673601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004365549,0.00002959192,0.9889652,0.00000286993,0.000004416029,0.00006301444,0.0003346706,0.002795048,0.00706133,0.00004939353,0.00003402029,0.0006168055],"study_design_scores_gemma":[0.0005015327,0.00005369747,0.9963483,0.00001074326,0.000007558499,0.000158532,0.00005870784,0.0008795071,0.00006798971,0.001509965,0.0003483789,0.00005510333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987496,0.00007826223,0.0003588727,0.0002256185,0.00009529344,0.00005492912,2.20962e-7,9.179116e-7,0.0004363605],"genre_scores_gemma":[0.9963119,0.00007132841,0.003255838,0.0003098476,0.00001412406,3.618665e-7,1.313166e-7,0.00000429487,0.00003214951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0073831,"threshold_uncertainty_score":0.267104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009399790688766084,"score_gpt":0.210848109299353,"score_spread":0.2014483186105869,"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."}}