{"id":"W2884696326","doi":"10.1101/373332","title":"The taxonomic and functional biogeographies of phytoplankton and zooplankton communities across boreal lakes","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie; Hydro-Québec","keywords":"Zooplankton; Trophic level; Phytoplankton; Food web; Ecology; Plankton; Pelagic zone; Spatial distribution; Biology; Boreal; Biological dispersal; Ecosystem; Taxon; Environmental science; Geography; Nutrient; 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":[0.0004442461,0.0002588005,0.0002451731,0.001614641,0.0005730319,0.0006026226,0.0002896664,0.0002208189,0.000717579],"category_scores_gemma":[0.0009561955,0.0002450146,0.0003409955,0.0007464212,0.0005555263,0.0005498019,0.0007175294,0.000145809,0.00006653659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015518,"about_ca_system_score_gemma":0.0002744526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02894181,"about_ca_topic_score_gemma":0.05888297,"domain_scores_codex":[0.9996997,0.0000648333,0.00003410186,0.0001082454,0.00003847516,0.00005470242],"domain_scores_gemma":[0.9990022,0.0001488063,0.0004696832,0.00006050164,0.000149396,0.0001694614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009313768,0.00002126737,0.9843796,0.0000296585,0.0001118932,0.00004449879,0.000856174,0.0001651455,0.01072466,0.00004830859,0.00005814561,0.003467414],"study_design_scores_gemma":[7.40842e-7,0.000007539694,0.9997427,9.32281e-7,0.000005776695,0.00001606487,0.00009734007,0.00007654049,0.00002905981,0.000004662361,0.00001731967,0.000001299412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999702,0.00005205254,0.00004669422,0.000005981502,7.43583e-7,0.00000177166,0.00005268059,0.000003357943,0.0001346358],"genre_scores_gemma":[0.9997581,0.00002250072,0.00007671662,0.000006337782,0.000001592511,0.000002709139,0.00009137751,0.000001278109,0.00003954457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02894181,"threshold_uncertainty_score":0.05754668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153989986922552,"score_gpt":0.2000132287020334,"score_spread":0.1884733288328079,"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."}}