{"id":"W2099157623","doi":"10.1890/07-1603.1","title":"RESTORING PISCIVOROUS FISH POPULATIONS IN THE LAURENTIAN GREAT LAKES CAUSES SEABIRD DIETARY CHANGE","year":2008,"lang":"en","type":"article","venue":"Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Environment and Climate Change Canada","funders":"","keywords":"Seabird; Pelagic zone; Predation; Trophic level; Ecology; Forage fish; Abundance (ecology); Biology; Trophic cascade; Ecosystem; Apex predator; Food web; Piscivore; Marine ecosystem; Fishery; Predator","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":[0.0001577635,0.00008824529,0.0001140741,0.0000414229,0.0004392641,0.000004436625,0.00019583,0.00005914187,0.0014503],"category_scores_gemma":[0.0000438435,0.00006971632,0.00002572823,0.0001649299,0.0002332698,0.0001493082,0.0001858638,0.0001122242,0.0002469525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006904792,"about_ca_system_score_gemma":0.000002525814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006377418,"about_ca_topic_score_gemma":0.5868585,"domain_scores_codex":[0.9992183,0.0001008366,0.0001193944,0.0002011084,0.00008881474,0.0002715775],"domain_scores_gemma":[0.9996923,0.00007012154,0.00003711318,0.0001785793,0.000002297002,0.00001965118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003464107,0.00005352024,0.8962891,0.000002417186,0.000006888512,0.00008789371,0.001763645,0.00007796404,0.000002400644,0.00007938747,0.1015331,0.0001001984],"study_design_scores_gemma":[0.0001370815,0.000060307,0.9725555,0.000001525109,0.00001065668,0.00001609331,0.0001915877,0.00002033993,0.000001003514,0.000356313,0.02657454,0.00007508072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763965,0.00002014094,0.000002121111,0.00920675,0.0004370946,0.0002629817,0.000002919295,0.00003887927,0.01363259],"genre_scores_gemma":[0.9941937,0.0001164999,0.00007575729,0.003893355,0.00007684754,0.0001596866,0.00001103405,0.000006110869,0.001466981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5862207,"threshold_uncertainty_score":0.9994625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07890192662993155,"score_gpt":0.2660470479842119,"score_spread":0.1871451213542803,"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."}}