{"id":"W2143548693","doi":"10.4319/lo.2006.51.1_part_2.0728","title":"Historic low‐level phosphorus enrichment in the Great Lakes inferred from biogenic silica accumulation in sediments","year":2006,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Michigan; University of Florida Foundation; National Science Foundation","keywords":"Biogenic silica; Diatom; Water column; Phosphorus; Sediment; Nutrient; Paleolimnology; Environmental chemistry; Biogeochemistry; Dissolved silica; Sedimentation; Environmental science; Geology; Hydrology (agriculture); Oceanography; Chemistry; Ecology; Biology; Geomorphology","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":[0.0001789317,0.000175475,0.0001029855,0.0006509171,0.0002535371,0.0004231474,0.0001472369,0.0002222294,0.0002609409],"category_scores_gemma":[0.0004688813,0.0002976232,0.0001333387,0.0005341226,0.0004625885,0.0002678207,0.0003319508,0.0001159961,0.00005581031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009823298,"about_ca_system_score_gemma":0.0004747552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05231028,"about_ca_topic_score_gemma":0.1050472,"domain_scores_codex":[0.9999464,0.000008706955,0.000005171181,0.00001777435,0.00001164919,0.00001034674],"domain_scores_gemma":[0.9998304,0.00003161137,0.00005649612,0.000009853694,0.00003711652,0.00003459693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006808116,0.000009655685,0.9753117,0.00002745426,0.00005527632,0.0002334678,0.000369114,0.001932404,0.01844605,0.0001254226,0.0001048486,0.003316394],"study_design_scores_gemma":[0.000002840837,0.00001127613,0.9977253,0.000001458204,0.00001021181,0.00002960991,0.00005882027,0.001395557,0.0005715616,0.0000434602,0.0001468093,0.000003054739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995422,0.00003659831,0.0000817356,0.00001311511,3.643247e-7,0.000001221255,0.00006070333,0.000007101275,0.0002570663],"genre_scores_gemma":[0.9997343,0.00003189083,0.00009773682,0.000004518266,0.000001317605,0.000001441451,0.00006672417,9.421694e-7,0.00006098618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9476897,"threshold_uncertainty_score":0.1040116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406618874206635,"score_gpt":0.2220191753121443,"score_spread":0.207952986570078,"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."}}