{"id":"W2884679663","doi":"10.1111/jbi.13410","title":"Patterns and drivers of species diversity in the Indo‐Pacific red seaweed <i>Portieria</i>","year":2018,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Australian Biological Resources Study; Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Thailand Research Fund; Agence Nationale de la Recherche; Vlaamse Interuniversitaire Raad; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Science Foundation, United Arab Emirates; National Research Foundation; World Wildlife Fund","keywords":"Biological dispersal; Ecology; Biology; Indo-Pacific; Species richness; Biogeography; Archipelago; Range (aeronautics); Biodiversity; Genetic diversity; Biodiversity hotspot; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003881976,0.00006432411,0.0001527686,0.0002192397,0.00008265769,0.0000159008,0.000206113,0.00004139795,0.0003091224],"category_scores_gemma":[0.00001000404,0.00003801944,0.00007824343,0.000263585,0.0001839208,0.0001040487,0.00003470823,0.0001066081,0.000001377481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":5.878787e-7,"about_ca_system_score_gemma":0.00001051721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003767554,"about_ca_topic_score_gemma":0.003868423,"domain_scores_codex":[0.999355,0.00007149481,0.0002134663,0.00007099083,0.0001663145,0.0001227365],"domain_scores_gemma":[0.9995536,0.00006296214,0.0002178654,0.00007017236,0.0000516595,0.00004370865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001082379,0.00001276181,0.9893903,0.000005351926,0.0000232669,0.00002531377,0.0004333021,5.502517e-7,0.0001304444,0.000006774363,0.0005305865,0.009333087],"study_design_scores_gemma":[0.0002581546,0.000520153,0.9876646,0.00001209613,0.00001551845,0.00005911111,0.001650916,0.000004968221,0.0001419466,0.0002095586,0.009415031,0.00004795837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889656,0.00009551788,0.000005434238,0.0002778,0.0001629949,0.00004062348,0.00007824726,0.000001641853,0.01037212],"genre_scores_gemma":[0.9993588,0.0003663587,0.00004436692,0.000100006,0.00008863238,2.445129e-8,0.00001061765,5.447801e-7,0.00003062597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0103932,"threshold_uncertainty_score":0.569544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398083565714795,"score_gpt":0.1834531810860863,"score_spread":0.1694723454289383,"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."}}