{"id":"W2060024506","doi":"10.1371/journal.pone.0106499","title":"Mean Annual Precipitation Explains Spatiotemporal Patterns of Cenozoic Mammal Beta Diversity and Latitudinal Diversity Gradients in North America","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Museum of Nature","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Alpha diversity; Ecology; Beta diversity; Climate change; Cenozoic; Mammal; Gamma diversity; Geography; Species diversity; Species richness; Biology; Paleontology; Structural basin","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":[0.0004911717,0.0001822705,0.0002086782,0.0005677119,0.0002397964,0.0005442312,0.0002199326,0.0001730349,0.001389652],"category_scores_gemma":[0.001408387,0.0002024186,0.0002795292,0.0008343176,0.0002615163,0.0003392022,0.0003296706,0.0002223483,0.0002372188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003269453,"about_ca_system_score_gemma":0.000297453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03877003,"about_ca_topic_score_gemma":0.05856464,"domain_scores_codex":[0.9998832,0.00003219544,0.000009700291,0.00004610974,0.00001062001,0.00001823366],"domain_scores_gemma":[0.9993632,0.0002277369,0.000189646,0.00007677216,0.00007509909,0.00006760023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002527673,0.00000876895,0.9938558,0.00001454216,0.00008556751,0.00002515088,0.0001123073,0.00147575,0.0005030439,0.00008103911,0.0003022424,0.00351043],"study_design_scores_gemma":[0.000002486076,0.000003128001,0.996842,0.000005140978,0.00001571091,0.00001545955,0.00009133735,0.002613376,0.000023946,0.0001463278,0.0002392761,0.000001595903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982256,0.0004154122,0.0002539195,0.000105539,0.000003229575,0.000001380995,0.0005210567,0.00001736203,0.0004564165],"genre_scores_gemma":[0.999339,0.0001528125,0.00009317474,0.000008983025,0.000004885561,0.000001841587,0.0003389787,0.000003119676,0.00005702952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.96123,"threshold_uncertainty_score":0.07708871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04083141525446773,"score_gpt":0.1984239401698481,"score_spread":0.1575925249153804,"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."}}