{"id":"W2045233131","doi":"10.1371/journal.pone.0087589","title":"Bottom-Up Regulation of Capelin, a Keystone Forage Species","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Memorial University of Newfoundland","keywords":"Capelin; Ecosystem; Forage fish; Food web; Trophic level; Pelagic zone; Ecology; Marine ecosystem; Fishery; Population; Biomass (ecology); Climate change; Keystone species; Productivity; Biology; Ecosystem-based management; Trophic cascade; Predation","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":[0.00008652035,0.0001893724,0.0001189022,0.0002890498,0.0003389609,0.0004067917,0.0002081624,0.000141389,0.001004353],"category_scores_gemma":[0.000409361,0.00009564429,0.00009665274,0.0001732236,0.0003907361,0.0001897053,0.0003865665,0.0001585344,0.0001332194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138058,"about_ca_system_score_gemma":0.0003929755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05296118,"about_ca_topic_score_gemma":0.1260284,"domain_scores_codex":[0.9999245,0.000009098335,0.000003813714,0.00003014223,0.00001392817,0.00001841434],"domain_scores_gemma":[0.9997397,0.0000279612,0.0001094505,0.00001981631,0.00005122783,0.00005183692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003751726,0.00008817592,0.4806536,0.0001429347,0.00007239215,0.0005559492,0.001397845,0.0005369551,0.483398,0.000819948,0.001521813,0.03043724],"study_design_scores_gemma":[0.000003345187,0.00005287234,0.9955614,0.000009135787,0.00001212098,0.00007533625,0.0001885057,0.0005493637,0.002570337,0.00007431817,0.0008969309,0.000006339694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976793,0.0002535933,0.0002078323,0.00007193782,0.000008520959,0.000005611776,0.0001366947,0.000009285589,0.001627272],"genre_scores_gemma":[0.9984406,0.0001361141,0.0002566528,0.00006829413,0.000003539687,0.000007104727,0.00009059365,0.000004609258,0.0009925712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05296118,"threshold_uncertainty_score":0.1053058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411294110499936,"score_gpt":0.2180899460485764,"score_spread":0.1839770049435771,"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."}}