{"id":"W3109380286","doi":"10.1111/faf.12526","title":"Ghosts of the deep – Biodiversity, fisheries, and extinction risk of ghost sharks","year":2020,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"IUCN Red List; Threatened species; Data deficient; Geography; Extinction (optical mineralogy); Endangered species; Fishery; Fishing; Near-threatened species; Biodiversity; Ecology; Genus; Conservation-dependent species; Vulnerable species; Endemism; Species richness; Biology; Habitat","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":[0.0007863221,0.0001196588,0.0001054322,0.0007721312,0.000241222,0.0003673279,0.0001483712,0.0001357528,0.00129807],"category_scores_gemma":[0.001879395,0.0000678916,0.0001492919,0.0003099958,0.0002756158,0.000429619,0.0005647371,0.0001628174,0.00009197889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324999,"about_ca_system_score_gemma":0.0001386788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002448299,"about_ca_topic_score_gemma":0.005030268,"domain_scores_codex":[0.9998013,0.00004188183,0.00003143018,0.00004069268,0.00005241614,0.00003215123],"domain_scores_gemma":[0.9985727,0.000218423,0.0008477325,0.00007932757,0.0001414608,0.0001404522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004870869,0.000008457991,0.9938377,0.0000207218,0.00003257914,0.0000822711,0.0001774108,0.0001268072,0.0002089053,0.00006084629,0.0001554513,0.005240318],"study_design_scores_gemma":[0.00000175058,0.00005214733,0.9982223,0.00002992848,0.00001944009,0.0002977079,0.0005828173,0.0002792716,0.00006575345,0.0001451359,0.0003009725,0.000002729681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992204,0.000250964,0.00006567773,0.00003530107,0.000003874937,0.000002053999,0.0001265603,0.00000118831,0.0002940203],"genre_scores_gemma":[0.9994873,0.0001362489,0.00008964575,0.00001681049,0.000004617656,0.000001440205,0.0001487728,4.326852e-7,0.0001147159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002448299,"threshold_uncertainty_score":0.00486815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00789361346589585,"score_gpt":0.1637371114057981,"score_spread":0.1558434979399023,"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."}}