{"id":"W3035206089","doi":"10.1126/science.aay5342","title":"Cascading social-ecological costs and benefits triggered by a recovering keystone predator","year":2020,"lang":"en","type":"article","venue":"Science","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tula Foundation; Vancouver Island University; Fisheries and Oceans Canada; Sciencetech (Canada); University of British Columbia","funders":"Hakai Institute","keywords":"Trophic cascade; Keystone species; Trophic level; Kelp forest; Ecosystem; Ecosystem services; Ecology; Biomass (ecology); Food web; Apex predator; Fishery; Mesopredator release hypothesis; Predation; Benthic zone; Environmental science; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00045477,0.0003477033,0.0002087726,0.0003430703,0.000598993,0.0008224592,0.000407979,0.0005165485,0.004280214],"category_scores_gemma":[0.001679734,0.0001862749,0.0004497062,0.0001532125,0.0004593624,0.0007104981,0.001116086,0.0004941727,0.0002052056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828864,"about_ca_system_score_gemma":0.0009398467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02736725,"about_ca_topic_score_gemma":0.06693683,"domain_scores_codex":[0.9998259,0.00003501019,0.00001071266,0.00003295447,0.0000263801,0.00006913864],"domain_scores_gemma":[0.9995531,0.0001308054,0.0001310409,0.00002949481,0.00004835066,0.0001070974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004078965,0.000299837,0.6418887,0.0001344038,0.0004633582,0.002230578,0.0004523554,0.3104186,0.01043039,0.01033861,0.001152789,0.02178256],"study_design_scores_gemma":[0.00003552638,0.0004359646,0.4743215,0.00004046042,0.0004338615,0.0006827758,0.002310747,0.5073171,0.002283717,0.01058685,0.001488135,0.00006322924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969242,0.000025019,0.001217876,0.000105994,0.000004880467,0.0000102017,0.0001100389,0.00001384086,0.001587909],"genre_scores_gemma":[0.9991879,0.00002019307,0.0003630479,0.00001251292,0.00000115618,0.000006214244,0.00003643585,0.000001573237,0.0003709304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02736725,"threshold_uncertainty_score":0.05441594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404610425301264,"score_gpt":0.2153723487116841,"score_spread":0.1913262444586714,"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."}}