{"id":"W2089370985","doi":"10.1007/s10750-013-1667-6","title":"Assessing the efficacy of chironomid and diatom assemblages in tracking eutrophication in High Arctic sewage ponds","year":2013,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Dalhousie University; Queen's University","funders":"U.S. Department of Transportation","keywords":"Eutrophication; Diatom; Nutrient; Ecology; Environmental science; Paleolimnology; Trophic level; Arctic; Dominance (genetics); Sewage; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000614858,0.0000851219,0.0001773619,0.0001197856,0.00007055762,0.00003289759,0.0001703373,0.0001337713,0.0003138541],"category_scores_gemma":[0.0001651647,0.00005478258,0.0000186981,0.0001921767,0.0002626733,0.0002024989,0.00001921686,0.0002810092,0.00005382306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001734309,"about_ca_system_score_gemma":0.0000214654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784548,"about_ca_topic_score_gemma":0.002085667,"domain_scores_codex":[0.9989412,0.0003480474,0.0002165056,0.0001955309,0.00004132648,0.0002573396],"domain_scores_gemma":[0.9987329,0.001010552,0.00007625491,0.0001384183,0.00001482111,0.00002709845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007362125,0.00001602457,0.9975954,0.00001283596,0.000004247527,0.000003495237,0.0001183041,0.0006074911,0.0005225468,0.00004008903,0.000001877226,0.001070285],"study_design_scores_gemma":[0.0002873722,0.00003843926,0.9965076,0.0000196073,0.000002997551,0.00001335109,0.0001063238,0.002170187,0.000113021,0.0006764884,0.000002390209,0.00006225304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983079,0.0004891262,0.000002604826,0.0005982902,0.00005389488,0.0001947622,0.000001837592,0.000008265763,0.0003432595],"genre_scores_gemma":[0.9996987,0.00008204782,0.00009442754,0.00004779124,0.00001303731,0.000004212382,0.00004654198,0.000001462354,0.00001177871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001562696,"threshold_uncertainty_score":0.3436482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220149879541649,"score_gpt":0.2670562574143684,"score_spread":0.2450412694602035,"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."}}