{"id":"W2590387390","doi":"10.1093/plankt/fbx009","title":"Decreases in diatom cell size during the 20th century in the Laurentian Great Lakes: a response to warming waters?","year":2017,"lang":"en","type":"article","venue":"Journal of Plankton Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Diatom; Cell size; Ecology; Phytoplankton; Climate change; Taxon; Oceanography; Structural basin; Global warming; Abundance (ecology); Biology; Stratification (seeds); Environmental change; Environmental science; Geology; Nutrient; Dormancy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001972399,0.0001405962,0.0001402784,0.0004047359,0.0003699271,0.0004578095,0.0002171261,0.0002838552,0.0008792036],"category_scores_gemma":[0.0005959441,0.0001006704,0.0001362104,0.0004791919,0.0004503956,0.0003380705,0.0003787682,0.0002172331,0.00009745568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311746,"about_ca_system_score_gemma":0.000653406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1331686,"about_ca_topic_score_gemma":0.2957737,"domain_scores_codex":[0.9999192,0.000007259038,0.000005692801,0.0000291259,0.00001828959,0.00002045795],"domain_scores_gemma":[0.9996548,0.00001623335,0.0001576905,0.00001572846,0.000078003,0.00007755475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004202926,0.000009102809,0.9909378,0.00001922972,0.00004191251,0.00008179428,0.0008911904,0.00006715373,0.002519236,0.00007390378,0.0003419811,0.004974624],"study_design_scores_gemma":[3.944822e-7,0.000004324418,0.9994428,0.000001389507,0.000002381479,0.00001220195,0.0001035874,0.00002296179,0.00004863848,0.000008365086,0.0003520609,9.573461e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983247,0.0005269598,0.00003667006,0.0002343114,0.000007377252,0.000001624707,0.0002685582,0.000004065384,0.0005956525],"genre_scores_gemma":[0.9990755,0.0002517404,0.00004146322,0.0000966231,0.00001667212,0.00000251493,0.0001943556,0.000001333256,0.0003198016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1331686,"threshold_uncertainty_score":0.2647869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184548847458687,"score_gpt":0.3032455082525528,"score_spread":0.2814000197779659,"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."}}