{"id":"W1560561400","doi":"10.1111/cobi.12378","title":"Assessing ecological correlates of marine bird declines to inform marine conservation","year":2014,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Birds Canada","funders":"University of California, Davis; Washington Department of Fish and Wildlife; Bird Studies Canada; Washington State University","keywords":"Marine ecosystem; Ecosystem; Geography; Ecology; Marine conservation; Habitat; Range (aeronautics); Trophic level; Marine protected area; Forage fish; Predation; Ecosystem-based management; Ecosystem health; Fishery; Forage; Apex predator; Ecosystem services; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005316704,0.0001502449,0.0002952141,0.0000482802,0.0001274298,0.00001906004,0.0002052761,0.0001257449,0.003492451],"category_scores_gemma":[0.001241897,0.0001257942,0.0000473554,0.0004235804,0.0002252221,0.000193697,0.0009681999,0.00009218743,0.0003826869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007024813,"about_ca_system_score_gemma":0.00001356993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004219595,"about_ca_topic_score_gemma":0.008777264,"domain_scores_codex":[0.9987978,0.00009835114,0.0004954702,0.0002709914,0.0001096026,0.0002277885],"domain_scores_gemma":[0.9989476,0.0004693466,0.0002425011,0.0002026229,0.0000687479,0.00006913549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002609485,0.00004292352,0.9488727,0.00001284899,0.000009720284,3.433588e-7,0.00001980483,0.00002987991,0.001260113,0.003712936,0.001553648,0.044459],"study_design_scores_gemma":[0.0002540683,0.0002447838,0.9052983,0.000006030556,0.00001108314,0.00000312471,0.00001713274,0.002610752,0.000169643,0.002715654,0.08853878,0.0001306499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977775,0.000005860336,0.001055342,0.005037642,0.0001584674,0.0002460749,0.00000165922,0.00008073811,0.01563924],"genre_scores_gemma":[0.9862704,0.00003598312,0.006207505,0.007111277,0.00003749321,0.00003255556,0.0000397186,0.00001145162,0.0002536269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08698513,"threshold_uncertainty_score":0.9974185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388466045886507,"score_gpt":0.2977343547573716,"score_spread":0.2538496942985065,"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."}}