{"id":"W2095018223","doi":"10.1038/nature09329","title":"Global patterns and predictors of marine biodiversity across taxa","year":2010,"lang":"en","type":"article","venue":"Nature","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1497,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Taxon; Biodiversity; Marine biodiversity; Geography; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004482348,0.0001703702,0.0002111345,0.001143961,0.0003331311,0.0005941227,0.000190464,0.0002347053,0.002540717],"category_scores_gemma":[0.001871048,0.000196649,0.0002553745,0.001812893,0.0006671059,0.0007864677,0.0008317623,0.0004747238,0.000216867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233423,"about_ca_system_score_gemma":0.0001508013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0084375,"about_ca_topic_score_gemma":0.02162673,"domain_scores_codex":[0.9998442,0.00003388942,0.00001239748,0.00005620332,0.000019684,0.00003359502],"domain_scores_gemma":[0.998691,0.0003940549,0.0004594263,0.0001333404,0.000130261,0.0001918652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003242466,0.000004830848,0.9970931,0.000005744328,0.00006275035,0.000007703537,0.0001092128,0.0002936516,0.0001677212,0.0001058955,0.00007814667,0.002038839],"study_design_scores_gemma":[9.535721e-7,0.000007223236,0.999239,0.000002905044,0.000009809678,0.00001653909,0.0001843226,0.0002697857,0.00001543878,0.0001655091,0.00008745681,0.00000115798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986895,0.0002189067,0.0001262084,0.00007052712,0.000002446841,9.362681e-7,0.0003116849,0.000004880393,0.0005749261],"genre_scores_gemma":[0.9995791,0.00007300943,0.00005629719,0.000004814525,0.000002702791,9.942501e-7,0.0001911417,0.000001922471,0.00008986714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0084375,"threshold_uncertainty_score":0.0167768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004605289002746049,"score_gpt":0.2372842876725176,"score_spread":0.2326789986697716,"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."}}