{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002719652,0.00008010394,0.0001292989,0.0000284494,0.0003185201,0.00008450227,0.0002252347,0.00004607657,0.0004489098],"category_scores_gemma":[0.0001419036,0.0000623175,0.00001653122,0.0003374525,0.0002598833,0.0002358361,0.00006135763,0.00009307716,0.00005782258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004295417,"about_ca_system_score_gemma":0.00004998077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007723493,"about_ca_topic_score_gemma":0.0006557928,"domain_scores_codex":[0.9990655,0.00002629919,0.0001150266,0.0003349417,0.0001616182,0.0002966032],"domain_scores_gemma":[0.9996303,0.00007272475,0.00004320447,0.00004246003,0.00001825909,0.0001930719],"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":[0.0001014785,0.00001630701,0.1433035,0.00002039539,0.000008534961,0.00002676494,0.0005711823,0.00005562871,0.01251948,0.0001898137,0.002685938,0.840501],"study_design_scores_gemma":[0.001009698,0.001347821,0.8898358,0.00002908779,0.00002572347,0.0001377331,0.0008313897,0.02472623,0.004528691,0.0003118024,0.07636265,0.0008534137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882959,0.0004523024,0.00001644537,0.0008434508,0.00009950519,0.00008847403,0.0001190575,0.00003649751,0.01004833],"genre_scores_gemma":[0.9987074,0.00009595364,0.0001221668,0.0008263481,0.00005764017,6.096388e-7,0.00002330134,9.544309e-7,0.0001656815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8396476,"threshold_uncertainty_score":0.4915248,"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."}}