{"id":"W2147346864","doi":"10.4319/lo.2003.48.4.1662","title":"Effects of drought‐induced acidification on diatom communities in acid‐sensitive Ontario lakes","year":2003,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Waterloo","funders":"","keywords":"Diatom; Wetland; Biota; Environmental science; Deposition (geology); Drainage basin; Sediment; Ecology; Paleolimnology; Hydrology (agriculture); Geology; Biology; Geography","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":[0.0001260383,0.0001457181,0.0001836509,0.0004045297,0.001097109,0.00045626,0.0001907735,0.0001497526,0.0004295814],"category_scores_gemma":[0.0004301128,0.0002277634,0.0001403449,0.0004493626,0.0006200815,0.0001579306,0.0006057578,0.0001247137,0.00005032754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004840808,"about_ca_system_score_gemma":0.002173136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5321184,"about_ca_topic_score_gemma":0.7793186,"domain_scores_codex":[0.9998411,0.0000202139,0.000008213661,0.00003262251,0.0000438121,0.00005401381],"domain_scores_gemma":[0.9997109,0.00002305691,0.00007881941,0.00000915875,0.00007773987,0.0001004261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006953308,0.00003242092,0.9028767,0.00006178399,0.00008198424,0.0002873997,0.00297707,0.0003187781,0.08778071,0.0000642148,0.0001537776,0.004669818],"study_design_scores_gemma":[0.000003510713,0.0000202005,0.9987277,0.000001261489,0.000006735952,0.00001408722,0.0003558969,0.0001196536,0.0005709507,0.000006959251,0.0001706717,0.000002305856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997883,0.00001848142,0.000009575178,0.000005615981,3.108034e-7,0.000001554997,0.00004400971,7.349e-7,0.0001312834],"genre_scores_gemma":[0.9995738,0.00004383658,0.00003968293,0.00001166401,7.478995e-7,0.000003882744,0.0001314373,0.000001087681,0.000193965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4678816,"threshold_uncertainty_score":0.941274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007275764286915986,"score_gpt":0.1930283977253945,"score_spread":0.1857526334384786,"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."}}