{"id":"W2892214073","doi":"10.1007/s10933-018-0052-x","title":"Reorganization of aquatic communities from low-nutrient lakes in northwestern New Brunswick, Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton; McGill University; Mount Allison University","funders":"Mount Allison University; Canada Excellence Research Chairs, Government of Canada","keywords":"Cladocera; Pelagic zone; Bioindicator; Ecology; Zooplankton; Littoral zone; Daphnia; Species richness; Biomass (ecology); Branchiopoda; Nutrient; Environmental science; Plankton; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003466202,0.0002648207,0.0005504678,0.002711008,0.005904538,0.00191425,0.0009746546,0.0003943167,0.001517089],"category_scores_gemma":[0.0008326997,0.000318887,0.0002569812,0.004292663,0.001763194,0.0004073088,0.001439063,0.0003425952,0.0001983056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02192228,"about_ca_system_score_gemma":0.0192379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866213,"about_ca_topic_score_gemma":0.9976516,"domain_scores_codex":[0.9995515,0.00002954175,0.00002465908,0.00008060564,0.0001068937,0.000206828],"domain_scores_gemma":[0.9989059,0.0000608836,0.0001232141,0.00002908834,0.0006667133,0.0002142042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002951772,0.00005144761,0.953398,0.0001400317,0.00009593262,0.0005890725,0.01627114,0.0002769857,0.01263537,0.0002314091,0.0007535251,0.01526194],"study_design_scores_gemma":[0.000003183412,0.000008844904,0.9928339,0.00001874444,0.00001359158,0.0000518038,0.00595446,0.00010587,0.0002073043,0.00002307548,0.0007720974,0.000007181056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980895,0.0002233045,0.00004384456,0.0000573715,0.000003021267,0.00001701067,0.0004258689,0.000003436877,0.001136584],"genre_scores_gemma":[0.9979638,0.0002398529,0.0001947622,0.00007220807,0.00000204872,0.00001477976,0.0005237672,0.000004856245,0.0009840308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02192228,"threshold_uncertainty_score":0.159058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006637670746852277,"score_gpt":0.196134113201459,"score_spread":0.1894964424546067,"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."}}