{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009665949,0.0001430447,0.0003654798,0.00001757823,0.0001027036,0.000002765699,0.0001200075,0.00007563154,0.007534069],"category_scores_gemma":[0.003314839,0.0001234861,0.00003769786,0.0001230697,0.0001327014,0.00006722317,0.00006000067,0.0002200109,0.0001349941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002236446,"about_ca_system_score_gemma":0.00007526672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8770758,"about_ca_topic_score_gemma":0.9915758,"domain_scores_codex":[0.9979377,0.0008259277,0.0004073905,0.0003180902,0.000103933,0.0004069229],"domain_scores_gemma":[0.9971082,0.002378304,0.0001606476,0.0002213943,0.000004883088,0.0001265538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000019422,0.00001485003,0.8708134,7.795334e-7,0.00001022732,0.000004429802,0.00009128773,0.0002487605,0.00002372801,0.0003883722,0.1272716,0.001130684],"study_design_scores_gemma":[0.0001535345,0.00001388824,0.7050201,0.000002768808,0.000006760518,0.000001937623,0.00007525913,0.00007314571,0.00002852714,0.002458566,0.2920636,0.0001018811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9088954,0.0001089954,0.00048243,0.004960344,0.0004486009,0.0001530282,0.00006274012,0.00001297432,0.08487543],"genre_scores_gemma":[0.99062,0.0001687248,0.001899368,0.006040215,0.00003765676,0.00002931681,0.00003724591,0.000008558216,0.001158982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1657932,"threshold_uncertainty_score":0.9933732,"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."}}