{"id":"W403438579","doi":"10.1023/a:1008123613298","title":"Diatom-environmental relationships in 64 alkaline southeastern Ontario (Canada) lakes: a diatom-based model for water quality reconstructions","year":2001,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Ministry of Environment","keywords":"Diatom; Eutrophication; Canonical correspondence analysis; Phosphorus; Paleolimnology; Chlorophyll a; Nutrient; Environmental science; Ecology; Botany; Hydrology (agriculture); Environmental chemistry; Biology; Chemistry; Geology; Species richness","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003474379,0.0004843788,0.000492261,0.0004321746,0.002050102,0.001568938,0.001820608,0.001233353,0.001531351],"category_scores_gemma":[0.001245403,0.0007134805,0.0004903367,0.000900134,0.001108821,0.0005818531,0.000538609,0.0006183126,0.0001997701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01955773,"about_ca_system_score_gemma":0.01187013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9805297,"about_ca_topic_score_gemma":0.9788897,"domain_scores_codex":[0.9998986,0.00001379658,0.000006670768,0.00003336275,0.00001349892,0.0000341887],"domain_scores_gemma":[0.9996176,0.00009284178,0.00004293614,0.00002196957,0.0001375314,0.00008714345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001407387,0.00006897422,0.0718051,0.00002956938,0.00009041269,0.00009718894,0.0002280838,0.9217027,0.0007803083,0.0007832155,0.0008903699,0.003383381],"study_design_scores_gemma":[0.00007562657,0.00001408028,0.03166213,0.000009037235,0.00005089977,0.0000175708,0.0002187664,0.9667808,0.0001836964,0.0003521725,0.0006070553,0.00002814721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970534,0.00004640532,0.0007346332,0.0001191314,0.000002834828,0.00001738639,0.000955543,0.00003638889,0.001034346],"genre_scores_gemma":[0.9970986,0.00007342333,0.0009185582,0.00002323087,0.000002104383,0.0000199962,0.0007946522,0.00001399167,0.001055493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01955773,"threshold_uncertainty_score":0.1419019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757721501615664,"score_gpt":0.2306491144182149,"score_spread":0.2030718994020583,"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."}}