{"id":"W3011379648","doi":"10.1111/gcb.15027","title":"The rise of a marine generalist predator and the fall of beta diversity","year":2020,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"Framsenteret; Norsk institutt for naturforskning; Norges Forskningsråd","keywords":"Trophic level; Biodiversity; Apex predator; Generalist and specialist species; Species richness; Ecology; Abundance (ecology); Mesopredator release hypothesis; Marine ecosystem; Ecosystem; Beta diversity; Predation; Food web; Temporal scales; 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":[0.0003278349,0.0001511563,0.0001171747,0.0005333775,0.0003239315,0.0007142329,0.0001924927,0.0004080404,0.001576163],"category_scores_gemma":[0.001714425,0.0001225706,0.0001577944,0.0004129512,0.0007921997,0.0005632165,0.000494665,0.0004460851,0.0002479191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003325434,"about_ca_system_score_gemma":0.0002966241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00683411,"about_ca_topic_score_gemma":0.00873,"domain_scores_codex":[0.9998538,0.0000177097,0.000008931431,0.00006442575,0.00002526274,0.00002973086],"domain_scores_gemma":[0.9986406,0.0002114077,0.0005479108,0.00009283688,0.0002024343,0.0003049522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001690775,0.00002584268,0.9674878,0.00003993167,0.00008627075,0.000209144,0.0005161071,0.0002509757,0.009961776,0.0004552792,0.0004414904,0.02035619],"study_design_scores_gemma":[7.775078e-7,0.00001705396,0.9989257,0.000004900882,0.000004696123,0.00007970686,0.0001278314,0.0001064134,0.0001833129,0.0001620309,0.0003856146,0.000002052351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966428,0.0006485404,0.0002505089,0.0002535029,0.00001153947,0.000001484884,0.00008302489,0.000008407348,0.002100183],"genre_scores_gemma":[0.9992263,0.0001724931,0.000107052,0.00005995617,0.00001277125,0.000001203451,0.00004276122,0.000002173651,0.0003752364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00683411,"threshold_uncertainty_score":0.01358867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04609329226852511,"score_gpt":0.2536793243039246,"score_spread":0.2075860320353995,"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."}}