{"id":"W3194349569","doi":"10.1007/s10021-021-00684-y","title":"Are Northern Lakes in Relatively Intact Temperate Forests Showing Signs of Increasing Phytoplankton Biomass?","year":2021,"lang":"en","type":"article","venue":"Ecosystems","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; The Scarborough Hospital; University of Toronto; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phytoplankton; Environmental science; Temperate climate; Biomass (ecology); Spatial variability; Chlorophyll a; Ecology; Oceanography; Atmospheric sciences; Nutrient; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007382511,0.0002249058,0.0004921333,0.00007243625,0.00009899493,0.0000433714,0.000205058,0.0001395049,0.0003148041],"category_scores_gemma":[0.0001923627,0.0002122049,0.00009905565,0.000491607,0.00004484442,0.0002713216,0.0001308203,0.0001769437,0.0001726896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023825,"about_ca_system_score_gemma":0.00004171267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002306071,"about_ca_topic_score_gemma":0.2452299,"domain_scores_codex":[0.997912,0.0003338541,0.000664494,0.000418632,0.0003271293,0.0003438499],"domain_scores_gemma":[0.9988003,0.000222307,0.0004930389,0.0003566157,0.00002828428,0.00009942493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001749521,0.00006574029,0.9737652,0.0001311803,0.00002339631,0.00009322228,0.0006526676,0.001332932,0.02362031,0.00007380503,0.00007177836,0.0001522837],"study_design_scores_gemma":[0.0009490313,0.00009339683,0.951986,0.001200785,0.00002406492,0.0001449253,0.001743093,0.03125536,0.009352301,0.0003507996,0.002306677,0.0005935301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935228,0.000172358,0.0002552854,0.00005204326,0.0003053849,0.0002686672,0.00007360744,0.00003223485,0.005317582],"genre_scores_gemma":[0.9994288,0.000005275484,0.0001504428,0.00002019347,0.00006614692,0.0000200074,0.00003438063,0.00003020993,0.0002445123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2429238,"threshold_uncertainty_score":0.8653467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684099317688701,"score_gpt":0.2252562450708135,"score_spread":0.2084152518939265,"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."}}