{"id":"W1972270557","doi":"10.1097/00001648-200309001-00056","title":"MERCURY IN FISH FROM CHRISTINA LAKE, ALBERTA, CANADA-RISK ASSESSMENT","year":2003,"lang":"en","type":"article","venue":"Epidemiology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health","funders":"","keywords":"Mercury (programming language); Trout; Methylmercury; Fishery; Bioaccumulation; MERCURY EXPOSURE; Environmental science; Catostomus; Diversity of fish; Animal science; Sucker; Toxicology; Biology; Ecology; Fish <Actinopterygii>; Zoology; Biomonitoring","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":[0.0006441523,0.0007177469,0.0002646198,0.002855146,0.002178514,0.001291824,0.0008346206,0.000540567,0.003087371],"category_scores_gemma":[0.0005693877,0.0002496883,0.0004095181,0.002813058,0.0004283719,0.0002288852,0.0006032651,0.0003098522,0.0005591063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02321392,"about_ca_system_score_gemma":0.02362763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9780483,"about_ca_topic_score_gemma":0.9914216,"domain_scores_codex":[0.999313,0.00002387934,0.0000209454,0.00005701993,0.0005172472,0.00006787039],"domain_scores_gemma":[0.9995285,0.00001839327,0.00004265398,0.000007628193,0.0003717312,0.0000311069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005914128,0.0001551044,0.7605137,0.001130266,0.0002128191,0.002267922,0.002121337,0.01161912,0.02125053,0.001743637,0.01452388,0.1838703],"study_design_scores_gemma":[0.00006509056,0.000546677,0.8954061,0.0003605053,0.00031623,0.0007852129,0.004499841,0.008883544,0.008157182,0.0009420299,0.07993402,0.0001034035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012726,0.007912865,0.004308077,0.001107104,0.0000746827,0.0008106193,0.01114311,0.0002631392,0.07310785],"genre_scores_gemma":[0.9042184,0.007436219,0.009187205,0.0005608909,0.0000161541,0.0001734691,0.009117425,0.00003815128,0.069252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02321392,"threshold_uncertainty_score":0.1684296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523301393777737,"score_gpt":0.2916304833048392,"score_spread":0.2663974693670618,"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."}}