{"id":"W2105578611","doi":"10.1023/a:1025560805788","title":"Seabirds as Indicators of Changes in Marine Ecosystems: Ecological Monitoring on Machias Seal Island","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Seabird; Clupea; Sterna; Herring; Tern; Marine ecosystem; Fishery; Bay; Capelin; Apex predator; Oceanography; Arctic; Atlantic herring; Ecology; Environmental science; Ecosystem; Predation; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003421047,0.000196482,0.0002114218,0.000781391,0.0003715795,0.0002681332,0.0002999816,0.0002698864,0.000403075],"category_scores_gemma":[0.0005678004,0.0001460736,0.0001654398,0.0004473167,0.0003413034,0.0004190836,0.0004671679,0.0002316891,0.00009850417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361734,"about_ca_system_score_gemma":0.0002701686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03341809,"about_ca_topic_score_gemma":0.1216569,"domain_scores_codex":[0.9998801,0.00002946858,0.00001205471,0.00002597118,0.00002927363,0.0000230914],"domain_scores_gemma":[0.999436,0.00005372622,0.0002467922,0.00003099085,0.0001171261,0.0001153888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001357327,0.0000364596,0.9916175,0.00001334473,0.00002818341,0.0001298946,0.0008098209,0.0001060515,0.003772359,0.00001906007,0.00008655666,0.003244993],"study_design_scores_gemma":[0.000001804565,0.00004797467,0.9990109,0.000001639679,0.000008994801,0.00004398375,0.0003826555,0.0001426829,0.0002370638,0.000004145882,0.000116872,0.000001373409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997837,0.00001530061,0.00002671499,0.000007020693,7.918002e-7,0.000002766106,0.00005723359,0.000001486958,0.0001050337],"genre_scores_gemma":[0.9992096,0.00003318657,0.0002452486,0.000005994193,0.000003121203,0.00001045478,0.0001438993,0.000001141686,0.0003473314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9665819,"threshold_uncertainty_score":0.06644714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262165545316849,"score_gpt":0.2744826163422308,"score_spread":0.2618609608890622,"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."}}