{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001817147,0.0001828256,0.0001361091,0.0009813996,0.0003798804,0.0005723425,0.0002837873,0.0001636149,0.001793314],"category_scores_gemma":[0.0003981146,0.0001057415,0.0002639699,0.001060243,0.0003247583,0.000278755,0.0004381143,0.0001879128,0.0001453333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003823349,"about_ca_system_score_gemma":0.0002052164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349817,"about_ca_topic_score_gemma":0.01949173,"domain_scores_codex":[0.9999007,0.00001391155,0.000007126308,0.00004414775,0.00001441219,0.00001964491],"domain_scores_gemma":[0.9996886,0.00005912935,0.000145195,0.00001957891,0.0000341434,0.00005329018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006861828,0.00001302811,0.9868047,0.00002919388,0.00007325145,0.0001384447,0.0004445237,0.0004460133,0.005078709,0.0002913932,0.00009735108,0.006514656],"study_design_scores_gemma":[0.000001188179,0.000005238055,0.9989315,0.00000298963,0.0000077087,0.0000443773,0.0002330666,0.0004846385,0.0001066252,0.00003785139,0.0001421808,0.000002635639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993924,0.00003785485,0.00005028802,0.00001487386,5.332313e-7,0.000001128453,0.00007454626,0.000002908773,0.0004256145],"genre_scores_gemma":[0.9997112,0.00002706596,0.00006997889,0.000002789908,0.00000118262,0.000001747007,0.00008721065,0.000001172253,0.00009759773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349817,"threshold_uncertainty_score":0.0268392,"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."}}