{"id":"W7096398304","doi":"","title":"Human Health Risk Assessment Mercury in Fish in Central Alberta Lac la Nonne and Lac Ste Anne","year":2009,"lang":"en","type":"article","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methylmercury; Mercury (programming language); Human health; Health risk; Fish <Actinopterygii>; Perch; Recreation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477713,0.0001721492,0.00009883083,0.00109398,0.000878941,0.0005909551,0.0003552719,0.0002280133,0.002258117],"category_scores_gemma":[0.0003848913,0.00009388277,0.0001719623,0.001164704,0.0002681561,0.00008013606,0.0003232771,0.0001478187,0.0001741684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009583181,"about_ca_system_score_gemma":0.004370996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9635306,"about_ca_topic_score_gemma":0.9791803,"domain_scores_codex":[0.9997455,0.00002408313,0.000007540843,0.00002314888,0.0001465761,0.00005316954],"domain_scores_gemma":[0.9997217,0.00002079312,0.00003359853,0.000009065691,0.0001712634,0.0000435179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002993569,0.0000857022,0.9707277,0.00004648194,0.00006915738,0.0005335617,0.001027056,0.001770533,0.001362938,0.000387092,0.004332693,0.01935783],"study_design_scores_gemma":[0.00001727345,0.0001331442,0.9917706,0.00002597586,0.00003321406,0.0001295059,0.001916747,0.0009349523,0.0003268452,0.00008664477,0.004615219,0.000009793296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840186,0.0005583069,0.000169157,0.0002900145,0.000006149939,0.00006202919,0.002305285,0.00002195476,0.01256856],"genre_scores_gemma":[0.9899573,0.0004016996,0.0002067723,0.00006553146,0.000002576729,0.00001948369,0.001105266,0.000002128789,0.008239213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0364694,"threshold_uncertainty_score":0.07336831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378126611694865,"score_gpt":0.3052250866854572,"score_spread":0.2914438205685085,"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."}}