{"id":"W2065507950","doi":"10.1021/es403651x","title":"Fish Mercury Levels Appear to Be Increasing Lately: A Report from 40 Years of Monitoring in the Province of Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Toronto","funders":"","keywords":"Mercury (programming language); Fish <Actinopterygii>; Environmental protection; Fishery; Environmental science; Geography; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007541139,0.0001130515,0.0002031437,0.0001040693,0.0001175675,0.00000856232,0.0006316271,0.00005554642,0.0002393126],"category_scores_gemma":[0.0001979617,0.00009773343,0.00002085488,0.0005601505,0.001092369,0.0001646491,0.0004572122,0.0001581336,0.000008126693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009061436,"about_ca_system_score_gemma":0.0001323901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6882054,"about_ca_topic_score_gemma":0.5904356,"domain_scores_codex":[0.9982979,0.00004046534,0.0003332358,0.000348106,0.0006632983,0.000316959],"domain_scores_gemma":[0.9992706,0.0000711895,0.0001738869,0.0004182504,0.000002551667,0.00006357936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001046996,0.00005199511,0.7459912,0.000001625396,0.000004628131,0.00003172108,0.00245716,0.0001943319,0.2377999,0.00001475589,0.0001124451,0.01332975],"study_design_scores_gemma":[0.0001043638,0.0000533041,0.9164518,0.00001683946,0.000005746981,0.0000206273,0.001421259,0.000008949706,0.0727835,0.0001208134,0.008905429,0.0001073709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976689,0.00001465025,0.00002528452,0.0007345551,0.00008770209,0.000213556,0.00001635603,0.00001063374,0.001228372],"genre_scores_gemma":[0.9986879,0.000003478729,0.0009969053,0.0001767194,0.000009315896,0.00001243991,0.000001660634,0.000005510833,0.0001060638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1704606,"threshold_uncertainty_score":0.4170379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314832729780704,"score_gpt":0.229315462529174,"score_spread":0.216167135231367,"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."}}