{"id":"W1992171331","doi":"10.1098/rspb.2008.1103","title":"Seabird-driven shifts in Arctic pond ecosystems","year":2008,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Environment and Climate Change Canada; University of Alberta; University of Ottawa; Queen's University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Seabird; Arctic; Ecosystem; Environmental science; Marine ecosystem; Population; Ecology; Climate change; Geography; Biology; Predation","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":[],"consensus_categories":[],"category_scores_codex":[0.0009207866,0.0001348185,0.0002509709,0.00001584917,0.0004151147,0.00001948178,0.001145664,0.000139459,0.0007175135],"category_scores_gemma":[0.0002468149,0.00007288571,0.0002243015,0.0008706332,0.002184461,0.0001358195,0.0006865346,0.0001879436,0.00007856498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001737534,"about_ca_system_score_gemma":0.00001434597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000495423,"about_ca_topic_score_gemma":0.00006236101,"domain_scores_codex":[0.998409,0.00002677784,0.0003070084,0.0004373533,0.000390132,0.0004297509],"domain_scores_gemma":[0.9995445,0.0000998583,0.0001992467,0.00007526114,0.00002003224,0.00006112395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003223577,0.00006581862,0.9943538,0.000005073017,0.000006081927,3.217752e-7,0.0004431634,0.0003472212,0.003297094,0.0002475862,0.001167323,0.00006331765],"study_design_scores_gemma":[0.0001417031,0.0001583271,0.9859966,0.00001510216,0.000006521889,0.000004573549,0.0004754561,0.01002053,0.0009084537,0.00159128,0.0005275175,0.0001539193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861615,0.00002716958,0.000003421557,0.0006292159,0.00007638816,0.0001981072,0.000001155997,0.00002342877,0.0128796],"genre_scores_gemma":[0.9982004,0.00003985414,0.001106829,0.0003158087,0.00003197142,0.00001968033,1.946452e-7,0.000003497966,0.0002818305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01259777,"threshold_uncertainty_score":0.8048737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248806018653202,"score_gpt":0.2290394639707,"score_spread":0.2065514037841679,"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."}}