{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002905442,0.0001380708,0.0001162257,0.0006422495,0.0004558685,0.0003319023,0.000144034,0.00008960813,0.0003503271],"category_scores_gemma":[0.0004361758,0.00008623684,0.00009620382,0.0004229828,0.0002705909,0.0001293979,0.0002801498,0.0001261785,0.00005909792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004867883,"about_ca_system_score_gemma":0.0002760334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05266812,"about_ca_topic_score_gemma":0.1804343,"domain_scores_codex":[0.9998237,0.00003980719,0.00001244779,0.00005272087,0.0000396854,0.00003170663],"domain_scores_gemma":[0.9996116,0.00005069079,0.0001680341,0.00001558812,0.00007747948,0.00007668907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001382313,0.00002890604,0.9842861,0.000005359281,0.00005558077,0.00009042848,0.001207957,0.0001906111,0.009911032,0.00007244047,0.00008974529,0.003923517],"study_design_scores_gemma":[0.000004583438,0.00003212639,0.9984041,0.000005472177,0.00001946761,0.00006145143,0.000576832,0.0001689992,0.000369718,0.00002387087,0.0003298992,0.000003440339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997851,0.00001683935,0.0000303324,0.000005795653,4.643002e-7,8.487452e-7,0.00003407344,0.000001501382,0.0001250285],"genre_scores_gemma":[0.9994637,0.00002087628,0.0001302971,0.000007722787,0.000001199602,0.000002907594,0.0001943864,0.000001513396,0.0001773562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05266812,"threshold_uncertainty_score":0.1047231,"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."}}