{"id":"W4309126333","doi":"10.1201/9781003288602-5","title":"Hotspots of Cenozoic Tropical Marine Biodiversity","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia; Fisheries and Oceans Canada","funders":"Sistema Nacional de Investigadores; Natural Environment Research Council; Australian Research Council; Joint Research Centre; Sight Research UK; University of Hong Kong; State Key Laboratory of Palaeobiology and Stratigraphy; Chinese Academy of Sciences; Austrian Science Fund; State Key Laboratory in Marine Pollution","keywords":"Tropical marine climate; Cenozoic; Biodiversity; Marine biodiversity; Geography; Oceanography; Environmental science; Geology; Ecology; Paleontology; Biology; Meteorology","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":[0.0001303261,0.0004046249,0.0002178294,0.001001411,0.0002550916,0.001169985,0.0003241789,0.0003400374,0.008435035],"category_scores_gemma":[0.0002493992,0.000138481,0.0001113044,0.001894202,0.0006583861,0.001321996,0.0007040235,0.0005612016,0.001214202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007172016,"about_ca_system_score_gemma":0.0005823505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003648395,"about_ca_topic_score_gemma":0.01316702,"domain_scores_codex":[0.9999489,0.000009679767,0.000003131291,0.00001232367,0.00001987038,0.000006091547],"domain_scores_gemma":[0.999934,0.0000278651,0.00001339133,0.000003354958,0.00001135551,0.00001009802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003142107,0.000008482698,0.002077138,0.003609284,0.00002433835,0.0003620885,0.002108147,0.001106833,0.001882767,0.06084733,0.135438,0.7925041],"study_design_scores_gemma":[0.000002073896,0.0000128142,0.007069191,0.00113193,0.00001146615,0.0007771103,0.0005407367,0.00009697712,0.0002212465,0.007914975,0.982213,0.000008413142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005491734,0.9147066,0.001727898,0.003382628,0.001717451,0.00001770671,0.0002574912,0.0001025394,0.07259598],"genre_scores_gemma":[0.05233971,0.8649909,0.002897387,0.002046098,0.001908795,0.00003330215,0.0004645498,0.00005221482,0.07526701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008435035,"threshold_uncertainty_score":0.02821803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352849891463817,"score_gpt":0.1759290483153528,"score_spread":0.1624005494007146,"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."}}