{"id":"W2038304771","doi":"10.1016/j.jglr.2014.04.009","title":"Summer phytoplankton nutrient limitation in Maumee Bay of Lake Erie during high-flow and low-flow years","year":2014,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Bay; Phytoplankton; Nutrient; Eutrophication; Environmental science; Bloom; Algal bloom; Phosphorus; Oceanography; Hydrology (agriculture); Ecology; Biology; Geology; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001691938,0.0001021357,0.0002881408,0.0001981779,0.00006790928,0.00003615628,0.0002052324,0.00008472444,0.0004177576],"category_scores_gemma":[0.0001810804,0.00008612579,0.00005239923,0.0003100988,0.0001667171,0.0002285258,0.00009925939,0.0003496518,0.00003419121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234124,"about_ca_system_score_gemma":0.00002485613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004287189,"about_ca_topic_score_gemma":0.007638765,"domain_scores_codex":[0.9980173,0.0002459892,0.0004732917,0.0001682305,0.0007914909,0.0003036854],"domain_scores_gemma":[0.9991612,0.0002666613,0.0001959199,0.0001805159,0.00005768209,0.0001379484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003282452,0.0001812567,0.9709092,0.0002173596,0.00003102982,0.0001032352,0.00131588,0.008402156,0.005548041,0.0002590587,0.001025929,0.01167864],"study_design_scores_gemma":[0.001824704,0.0004209072,0.9567446,0.000394914,0.00001094017,0.00007291635,0.0001859911,0.03116359,0.001030765,0.001509785,0.00647208,0.0001688181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984,0.00005956512,0.0002487811,0.0001307918,0.00009183458,0.0001438365,0.00002916604,0.000002807565,0.0008932511],"genre_scores_gemma":[0.9982295,0.0001529528,0.001131658,0.000009073372,0.00009352253,0.000003803812,0.000006560967,0.00001314056,0.0003598142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02276143,"threshold_uncertainty_score":0.4574153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024191871834969,"score_gpt":0.2696050608085788,"score_spread":0.2493631420902291,"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."}}