{"id":"W2071693529","doi":"10.1007/s11270-009-0255-x","title":"Sudbury Sediments Revisited: Evaluating Limnological Recovery in a Multiple-Stressor Environment","year":2009,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University; Ministry of the Environment, Conservation and Parks; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Paleolimnology; Diatom; Sediment; Smelting; Geology; Environmental science; Environmental change; Ecology; Climate change; Oceanography; Paleontology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000621474,0.0001999562,0.0002228428,0.00005008887,0.0001255222,0.00002132605,0.0001652872,0.0001487493,0.0007571],"category_scores_gemma":[0.0000337823,0.0001485473,0.00007582596,0.00009299567,0.00005482529,0.0002257274,0.000110429,0.0001830934,0.001284165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000504132,"about_ca_system_score_gemma":0.00000520892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003104013,"about_ca_topic_score_gemma":0.0001146899,"domain_scores_codex":[0.998126,0.0001651307,0.0004317016,0.0004279522,0.000386591,0.0004625982],"domain_scores_gemma":[0.9994994,0.00002608723,0.00009535205,0.0002867654,0.000002962969,0.00008939338],"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":[0.0004346178,0.001040406,0.3290801,0.00005023434,0.00004307305,0.00009579352,0.001955892,0.3631856,0.1250333,0.00009675288,0.001760377,0.1772238],"study_design_scores_gemma":[0.002051471,0.0009346036,0.7959646,0.0001946834,0.0000364344,0.00002842922,0.0001152018,0.1863479,0.007738333,0.003108111,0.00277459,0.0007056953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964768,0.00006607146,0.0005344871,0.000700583,0.0001302007,0.0003637005,0.00001825028,0.00004036225,0.00166955],"genre_scores_gemma":[0.9979826,0.00003807149,0.0007243766,0.0005492002,0.0000795847,0.00002278851,0.00006011512,0.00001058151,0.0005327472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4668845,"threshold_uncertainty_score":0.9994935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753043722069662,"score_gpt":0.236174821194736,"score_spread":0.2186443839740393,"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."}}