{"id":"W2902054043","doi":"10.1111/fwb.13214","title":"Spatial and temporal variation in nitrogen fixation and its importance to phytoplankton in phosphorus‐rich lakes","year":2018,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; Université de Moncton; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Canada Research Chairs; Queen's University Belfast; Canada Foundation for Innovation; University of Regina","keywords":"Phytoplankton; Plankton; Phosphorus; Ecology; Nitrogen; Productivity; Environmental science; Abundance (ecology); Hydrobiology; Redfield ratio; Animal science; Nutrient; Biology; Chemistry; Aquatic environment","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":[0.0005793869,0.0001200389,0.0002261539,0.0008335503,0.0004570725,0.0005130938,0.0002553626,0.0002598156,0.0005270793],"category_scores_gemma":[0.001161497,0.0001997657,0.0001767529,0.0006011649,0.0004519288,0.0003531521,0.0004850668,0.0001502012,0.00007853916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004536599,"about_ca_system_score_gemma":0.0002355635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061799,"about_ca_topic_score_gemma":0.01877447,"domain_scores_codex":[0.9997714,0.0000502729,0.00002436056,0.0000846103,0.00003598805,0.00003345233],"domain_scores_gemma":[0.9989495,0.0003441739,0.0003429317,0.00004876324,0.0001995199,0.0001152045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001807239,0.0000168123,0.9795861,0.00001969499,0.00007126367,0.00007658976,0.0004971366,0.0003263042,0.01736751,0.00004864017,0.00004330583,0.001765969],"study_design_scores_gemma":[9.682694e-7,0.00001570538,0.9992203,0.00000102547,0.00000641189,0.00002101337,0.0001154806,0.0003708625,0.0002016614,0.00001221769,0.00003241821,0.000001990701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999746,0.00003597888,0.00005625496,0.000004183854,5.801816e-7,8.785387e-7,0.00004158092,0.000001988203,0.000112449],"genre_scores_gemma":[0.9998665,0.000009692085,0.00003481066,0.000001739187,0.000001201226,0.000002037711,0.00004023407,7.477412e-7,0.00004308466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061799,"threshold_uncertainty_score":0.02111238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008345154218076559,"score_gpt":0.2242711210160757,"score_spread":0.2159259667979992,"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."}}