{"id":"W1985520396","doi":"10.1007/s00300-010-0934-5","title":"Chironomid assemblages from seabird-affected High Arctic ponds","year":2010,"lang":"en","type":"article","venue":"Polar Biology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Ottawa; Environment and Climate Change Canada; Canadian Institute for Advanced Research; Queen's University","funders":"Natural Resources Canada","keywords":"Seabird; Biology; Eutrophication; Ecology; Arctic; Nutrient; Paleolimnology; Ecosystem; Diatom; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001789522,0.0001859435,0.0003107142,0.0008364609,0.0009405433,0.00050111,0.0001716786,0.0002190438,0.000913791],"category_scores_gemma":[0.0004208666,0.0001632157,0.0002118468,0.0005677972,0.000467808,0.0002518465,0.0004849295,0.0001485681,0.0001771609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005127796,"about_ca_system_score_gemma":0.0003186982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03318449,"about_ca_topic_score_gemma":0.110247,"domain_scores_codex":[0.9998485,0.00002807707,0.00001287234,0.00004021187,0.00002854074,0.00004188133],"domain_scores_gemma":[0.9997514,0.00002841373,0.0000608095,0.00001749084,0.00006245486,0.00007952974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004124423,0.00005794256,0.9850058,0.0000176873,0.00005111906,0.0004988011,0.001497727,0.0001052342,0.008526254,0.00001378574,0.00009379862,0.00371939],"study_design_scores_gemma":[0.000002065801,0.0000553244,0.9983678,0.000002143372,0.00001516238,0.0001576502,0.0008080776,0.00006124179,0.0004119163,0.00000543227,0.0001112868,0.000001853251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998129,0.0000111341,0.00001151061,0.00000136217,5.934527e-7,0.000001134631,0.00005089008,9.789488e-7,0.0001093792],"genre_scores_gemma":[0.9994954,0.00003370002,0.00004227558,0.000006814642,8.401917e-7,0.000002461525,0.000108934,0.00000103635,0.0003086032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03318449,"threshold_uncertainty_score":0.0659827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004576155294451338,"score_gpt":0.2238246383166599,"score_spread":0.2192484830222085,"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."}}