{"id":"W2100278576","doi":"10.1644/brb-218.1","title":"PHYLOGEOGRAPHY OF KEEN'S MOUSE (PEROMYSCUS KEENI) IN A NATURALLY FRAGMENTED LANDSCAPE","year":2004,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vicariance; Phylogeography; Subspecies; Peromyscus; Archipelago; Biology; Ecology; Glacial period; Genetic diversity; Mainland; Biological dispersal; Geography; Phylogenetic tree; Zoology; Population; Paleontology","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":[0.0002836848,0.0001162702,0.0001504641,0.001159403,0.0002666184,0.0002639047,0.0001809566,0.0002205441,0.0004404658],"category_scores_gemma":[0.0006149925,0.0001385275,0.00009110544,0.0005030119,0.0004013161,0.000189565,0.0003369016,0.0001698821,0.00007862841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002509419,"about_ca_system_score_gemma":0.00009838363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004350099,"about_ca_topic_score_gemma":0.01616526,"domain_scores_codex":[0.999862,0.00004039949,0.000007341391,0.00005086244,0.00001656861,0.00002278457],"domain_scores_gemma":[0.999612,0.0001087826,0.0001431012,0.00002676528,0.00003545732,0.00007376892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001328907,0.00003537596,0.983561,0.00001279767,0.00005414119,0.0001647199,0.0007794157,0.0002693501,0.01146941,0.0000985012,0.00004296122,0.003379516],"study_design_scores_gemma":[0.000002476278,0.00002725893,0.9991409,0.000002888587,0.000006665935,0.0001485768,0.000165508,0.0003298251,0.00009671433,0.00002078879,0.00005685119,0.000001477422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999114,0.00001460486,0.0000197987,0.000002471902,6.380323e-8,4.248848e-7,0.000009702777,4.399917e-7,0.00004101686],"genre_scores_gemma":[0.9997912,0.00001956211,0.00007670402,0.000003911631,4.766882e-7,0.000001668458,0.0000650914,5.537849e-7,0.00004078766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004350099,"threshold_uncertainty_score":0.008649528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004388533261127938,"score_gpt":0.2106994571910142,"score_spread":0.2063109239298863,"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."}}