{"id":"W2560366576","doi":"","title":"Divergent fish mercury trends in two South-Central Ontario lakes and the relationship to changes in atmospheric sulfate deposition","year":2013,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Clean Air Regulatory Agenda; Ministry of Environment","keywords":"Mercury (programming language); Sulfate; Deposition (geology); Fish <Actinopterygii>; Environmental chemistry; Acid deposition; Environmental science; Geography; Physical geography; Oceanography; Fishery; Chemistry; Geology; Biology; Geomorphology; Soil science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007231792,0.0002748093,0.0003120856,0.0001141456,0.000243965,0.00007359523,0.0002293293,0.0001276822,0.002069006],"category_scores_gemma":[0.00002204688,0.0002471793,0.000071848,0.0007296753,0.0001207547,0.000800852,0.0001777398,0.0003505378,0.00006177412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003672893,"about_ca_system_score_gemma":0.00003832191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1640646,"about_ca_topic_score_gemma":0.4762408,"domain_scores_codex":[0.9985997,0.0001972895,0.0001704114,0.0003985498,0.0002665961,0.0003674431],"domain_scores_gemma":[0.9993756,0.0001090496,0.0001527279,0.0001917935,0.000007037985,0.0001638167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003161239,0.00004261051,0.9312215,0.00001795509,0.00002847997,0.00002528472,0.03621986,0.0002932886,0.000006994452,0.0004159588,0.03039117,0.001020711],"study_design_scores_gemma":[0.0009867683,0.00003404008,0.9864305,0.00008187174,0.00004834194,1.817714e-7,0.006169682,0.00002465771,0.00005941833,0.00008561969,0.005788627,0.0002903067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751965,0.00001961418,0.000005925198,0.01478172,0.0001721614,0.0004295774,0.00002326297,0.00004236053,0.009328822],"genre_scores_gemma":[0.822772,0.0001419829,0.0002032147,0.0002300866,0.00002290642,0.000009333146,0.000330296,0.00001918896,0.176271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3121761,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003356686613341,"score_gpt":0.2053904601269573,"score_spread":0.1953568932608239,"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."}}