{"id":"W2618927864","doi":"10.1038/s41559-017-0170","title":"Coherent assessments of Europe’s marine fishes show regional divergence and megafauna loss","year":2017,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Dalhousie University; Simon Fraser University","funders":"Fisheries Research and Development Corporation; European Commission; Scottish Funding Council; Marine Alliance for Science and Technology for Scotland","keywords":"IUCN Red List; Threatened species; Fishery; Marine protected area; Fish stock; Overfishing; Geography; Near-threatened species; Biodiversity; Conservation status; European union; Mediterranean climate; Mediterranean sea; Conservation-dependent species; Fishing; Ecology; Biology; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002352872,0.00009882046,0.0001397427,0.00002629786,0.0003116877,0.00002359683,0.0003794073,0.0002139509,0.004241013],"category_scores_gemma":[0.000180006,0.0000877675,0.00002824913,0.00006635871,0.0005711228,0.0002705728,0.00111488,0.0003788231,0.00003126202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147959,"about_ca_system_score_gemma":0.00002162666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005161293,"about_ca_topic_score_gemma":0.002105428,"domain_scores_codex":[0.999006,0.0000673362,0.0001350182,0.0002878562,0.0002773411,0.0002264117],"domain_scores_gemma":[0.9993845,0.00004262264,0.000136815,0.0003277474,0.00003692945,0.00007135452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000437313,0.00006227391,0.9854776,0.000009361999,0.00001391798,0.00000870337,0.00001304283,0.000004404544,0.0004362773,0.0005867963,0.008210175,0.005133695],"study_design_scores_gemma":[0.0002512144,0.0001183597,0.9751505,0.000002367832,0.000009179328,0.00001072098,0.000008694963,0.0005225022,0.00005421423,0.0008893406,0.02290336,0.00007953226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9222331,0.00002144685,0.00004625302,0.001041106,0.0002705473,0.0001738148,0.000007188799,0.00001160902,0.07619492],"genre_scores_gemma":[0.9944617,0.0001507039,0.0003693445,0.00008212253,0.00004626869,0.00001151575,0.00001438822,0.00000633318,0.004857635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07222857,"threshold_uncertainty_score":0.9966692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424688253132515,"score_gpt":0.2882819291865981,"score_spread":0.2740350466552729,"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."}}