{"id":"W2163096885","doi":"10.1111/mec.12450","title":"Carving out turf in a biodiversity hotspot: multiple, previously unrecognized shrew species co‐occur on<scp>J</scp>ava<scp>I</scp>sland,<scp>I</scp>ndonesia","year":2013,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ontario Ministry of Research and Innovation; Museum of the North, University of Alaska; Université de Lausanne; National Science Foundation","keywords":"Biology; Ecology; Habitat; Biodiversity hotspot; Biodiversity; Ecological niche; Endemism; Ecological release; Niche; Shrew; Population; Global biodiversity; Species richness; Species diversity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002999096,0.0001761781,0.0003132286,0.001262906,0.0006892351,0.0005702314,0.000300447,0.0002804149,0.0007808569],"category_scores_gemma":[0.0003522191,0.0001474693,0.000159587,0.0007290901,0.0006785619,0.0004259676,0.0006682029,0.0002543421,0.00009417893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003055871,"about_ca_system_score_gemma":0.0001879776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004913577,"about_ca_topic_score_gemma":0.02217983,"domain_scores_codex":[0.9997963,0.00003493892,0.00001166723,0.00007723166,0.00002686399,0.00005298213],"domain_scores_gemma":[0.9994391,0.00007210713,0.0002809057,0.00003890659,0.00004515077,0.0001237608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001037123,0.00002960676,0.975178,0.00003159116,0.00004409317,0.0008001458,0.001209348,0.00003062178,0.01717706,0.00003652428,0.00005615473,0.005303052],"study_design_scores_gemma":[8.793734e-7,0.0000189111,0.9986118,0.000003048666,0.000007436832,0.0003446794,0.0007177675,0.00003161523,0.0001812535,0.00001007546,0.00007087459,0.000001756053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997502,0.00004136842,0.00003624372,0.00000536854,9.22736e-7,0.000002361596,0.00002351201,0.000002069881,0.0001380504],"genre_scores_gemma":[0.9997712,0.0000212527,0.0001058167,0.000009107703,0.00000149472,0.000001646309,0.00005205227,7.526369e-7,0.00003661074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004913577,"threshold_uncertainty_score":0.009769917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076333786759939,"score_gpt":0.2269094920730991,"score_spread":0.2061461542054997,"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."}}