{"id":"W2037485902","doi":"10.1006/enrs.2000.4073","title":"Mercury Exposure in Montrealers Who Eat St. Lawrence River Sportfish","year":2000,"lang":"en","type":"article","venue":"Environmental Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Police Service; McGill University","funders":"","keywords":"Mercury (programming language); Population; MERCURY EXPOSURE; Methylmercury; Pike; Animal science; Fish consumption; Tasa; Toxicology; Biology; Ecology; Medicine; Bioaccumulation; Fishery; Environmental health; Biomonitoring; Fish <Actinopterygii>; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002164778,0.0002022574,0.000130835,0.0006796097,0.001251083,0.0006323794,0.0003732513,0.0005938389,0.00513311],"category_scores_gemma":[0.0009989014,0.0003071993,0.000217006,0.0005731412,0.0003815346,0.0003170466,0.0004017756,0.0005257743,0.0004922042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002410108,"about_ca_system_score_gemma":0.001544687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8226097,"about_ca_topic_score_gemma":0.8956893,"domain_scores_codex":[0.9997534,0.00002918838,0.00001141448,0.0000408255,0.00007018945,0.00009496803],"domain_scores_gemma":[0.9994676,0.00002831694,0.0001189254,0.00001620866,0.000206815,0.0001621915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108741,0.0002054812,0.9919608,0.00001198399,0.00002068343,0.0001099634,0.002018241,0.00001975117,0.001197934,0.0000284301,0.0006884107,0.003627412],"study_design_scores_gemma":[0.000004139516,0.0001865605,0.9962116,0.000005199816,0.00001570554,0.00004262335,0.002688323,0.00002961434,0.0001653169,0.000006839085,0.0006392712,0.000004842012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987036,0.00007383372,0.00001099515,0.0001139711,0.000003958792,0.000009983524,0.0001728116,0.000002230433,0.000908596],"genre_scores_gemma":[0.9932646,0.0001272684,0.00003833833,0.0001067184,0.000004872666,0.0000104472,0.0001684422,0.000001603606,0.006277753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1773903,"threshold_uncertainty_score":0.35687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03140446786495216,"score_gpt":0.3025388998380472,"score_spread":0.2711344319730951,"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."}}