{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001957477,0.0002801378,0.0003193396,0.002571585,0.0004053353,0.001275524,0.0003657117,0.0002778087,0.001088532],"category_scores_gemma":[0.004533561,0.0001569219,0.0002528045,0.00147199,0.0003434,0.001360395,0.0009027494,0.0005436865,0.0001456617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000485718,"about_ca_system_score_gemma":0.0005105673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044491,"about_ca_topic_score_gemma":0.0374496,"domain_scores_codex":[0.999446,0.000208277,0.00006193013,0.0001271457,0.000092042,0.00006451689],"domain_scores_gemma":[0.995822,0.0008915849,0.00196561,0.0002361174,0.0007549974,0.0003297392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006950998,0.0000164852,0.9921128,0.0000226457,0.0000442403,0.00001193262,0.00009465196,0.0001814383,0.00032516,0.00004551623,0.0001434364,0.006994798],"study_design_scores_gemma":[4.492939e-7,0.00002533147,0.9984027,0.00001322789,0.00001285254,0.00001469938,0.0004211784,0.0006006074,0.00007261434,0.000110365,0.0003236506,0.000002357347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917001,0.001191489,0.002738674,0.0005283541,0.00002345505,0.00004650687,0.001086502,0.00004101931,0.002643987],"genre_scores_gemma":[0.9956627,0.000520063,0.002515487,0.0001234097,0.00003520864,0.00003112508,0.0008418339,0.000006318506,0.0002636909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01044491,"threshold_uncertainty_score":0.02076823,"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."}}