{"id":"W2049212750","doi":"10.1007/s00442-006-0490-4","title":"Immigration and zooplankton community responses to nutrient enrichment: a mesocosm experiment","year":2006,"lang":"en","type":"article","venue":"Oecologia","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment","keywords":"Mesocosm; Biology; Ecology; Zooplankton; Species richness; Biological dispersal; Abundance (ecology); Biomass (ecology); Community structure; Nutrient; Beta diversity; Species diversity; Population","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":[0.0009888856,0.0006552007,0.0008983638,0.0002815269,0.001459131,0.0009005814,0.0006601822,0.001310782,0.001459675],"category_scores_gemma":[0.001428281,0.0007106924,0.0005012125,0.0003305149,0.001345022,0.001095286,0.001138833,0.001854169,0.0002844179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428005,"about_ca_system_score_gemma":0.001607357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01535374,"about_ca_topic_score_gemma":0.02999296,"domain_scores_codex":[0.9996244,0.00007227514,0.00002992527,0.0001430318,0.00005936052,0.00007104375],"domain_scores_gemma":[0.9981695,0.0003929098,0.0002413554,0.0002614634,0.00009934021,0.0008354055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.09476061,0.0201142,0.2583349,0.0001058793,0.0004189342,0.0006968098,0.001304728,0.002521547,0.6127026,0.0004538686,0.0006264083,0.007959447],"study_design_scores_gemma":[0.00765598,0.03319766,0.8849676,0.00001653216,0.0004911118,0.0002176257,0.001076388,0.01182451,0.05849518,0.0009263065,0.001026492,0.0001045898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998129,0.000005771853,0.00002743827,0.0000199239,0.000004551521,0.00001315899,0.00003349646,0.000002178743,0.00008072767],"genre_scores_gemma":[0.998157,0.0000435449,0.0004148927,0.0001689832,0.00001240066,0.0001224494,0.0001329016,0.000006417461,0.0009414166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01535374,"threshold_uncertainty_score":0.03052872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009646906905909084,"score_gpt":0.2373375185391798,"score_spread":0.2276906116332707,"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."}}