{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007413911,0.00009481946,0.00009885911,0.001077251,0.0003654228,0.0005710957,0.0003408518,0.0002274882,0.0008093162],"category_scores_gemma":[0.001759673,0.0001322585,0.0001441367,0.0006760168,0.0004064749,0.0003392559,0.0002751458,0.0002534505,0.0001414615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584251,"about_ca_system_score_gemma":0.0002704327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05765396,"about_ca_topic_score_gemma":0.1343251,"domain_scores_codex":[0.9998492,0.00003120508,0.00001311053,0.00004949866,0.00002937323,0.00002767352],"domain_scores_gemma":[0.9990352,0.0001302097,0.0003506674,0.00008668169,0.0002968493,0.0001003571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002234323,0.000005638725,0.9957519,0.00000640879,0.00002266417,0.00002358005,0.0001404066,0.000608001,0.0002586081,0.00006946198,0.00007321103,0.003017754],"study_design_scores_gemma":[6.762345e-7,0.00001175513,0.9980376,0.000004616,0.000006886103,0.00005226866,0.0001627974,0.001216357,0.00008374635,0.00003112959,0.0003896251,0.000002553694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993116,0.00005916694,0.0001323248,0.00001790708,0.000001130535,8.466152e-7,0.0002078811,0.000004904197,0.0002643475],"genre_scores_gemma":[0.9994417,0.00003004476,0.0001305784,0.000003592399,8.707046e-7,0.000001129589,0.0003104385,0.000001467277,0.00008014373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05765396,"threshold_uncertainty_score":0.1146368,"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."}}