{"id":"W1517774342","doi":"10.1111/j.1365-2664.2007.01329.x","title":"Diet reconstruction and historic population dynamics in a threatened seabird","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia; University of Guelph","funders":"","keywords":"Seabird; Threatened species; Population; Ecology; Abundance (ecology); Nest (protein structural motif); Geography; Population decline; Habitat; Predation; Biology; Fishery; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008377132,0.00007224736,0.0002282822,0.0001726476,0.00004673006,0.000004618223,0.00008681293,0.0001268975,0.0002864657],"category_scores_gemma":[0.00002922185,0.00006804194,0.00003094518,0.0002039948,0.00008833453,0.00009843444,0.00005010003,0.0001794186,0.00002010982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590159,"about_ca_system_score_gemma":0.000007870366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007617794,"about_ca_topic_score_gemma":0.01402372,"domain_scores_codex":[0.9991287,0.00002431361,0.0004377248,0.0001246254,0.00009370303,0.0001909462],"domain_scores_gemma":[0.9994576,0.00007959005,0.0003316851,0.0000715907,0.000009148848,0.00005036257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002312435,0.00004565074,0.9709491,0.000001977842,0.00001258242,0.00002323845,0.0001041802,0.001180307,0.000490188,0.0006795169,0.00006413232,0.02621787],"study_design_scores_gemma":[0.0004719522,0.0001697031,0.9876265,0.000001452821,0.00002285588,0.0001649483,0.0001996559,0.001287868,0.00004554663,0.009770543,0.0001675334,0.00007146587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899033,0.000008817226,0.0004089366,0.0001439208,0.000277568,0.00007608112,1.906199e-7,0.000004269354,0.00917691],"genre_scores_gemma":[0.9954715,0.00003494583,0.004287475,0.0001069237,0.0000453359,0.0000017471,0.00000116271,0.000006375745,0.00004455318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0261464,"threshold_uncertainty_score":0.7825565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004863522986958589,"score_gpt":0.2105380272633857,"score_spread":0.2056745042764272,"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."}}