{"id":"W2622224869","doi":"10.1503/cmaj.733011","title":"Mercury poisoning in the Grassy Narrows First Nation: history not completed","year":2017,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mercury (programming language); Mercury poisoning; Forensic engineering; History; Engineering; Computer science; Chemistry; Toxicity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001433919,0.000304276,0.0005845435,0.001020188,0.003141218,0.001934779,0.0008274695,0.01038277,0.003429342],"category_scores_gemma":[0.007724672,0.0003767226,0.000331765,0.001396539,0.003130154,0.003961631,0.001453315,0.01892318,0.001855292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005209284,"about_ca_system_score_gemma":0.005599425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256058,"about_ca_topic_score_gemma":0.02359759,"domain_scores_codex":[0.998801,0.0003787033,0.0001934149,0.0001291665,0.0003444001,0.000153343],"domain_scores_gemma":[0.9955384,0.002234196,0.000420919,0.0001465752,0.001050872,0.0006089205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000335501,0.00004571363,0.001461932,0.0003722676,0.00001365866,0.01091278,0.001285329,0.00003377121,0.0001983359,0.006799895,0.9394153,0.03942752],"study_design_scores_gemma":[0.000009806408,0.00003204053,0.001261376,0.001230308,0.00001469505,0.01240038,0.00123365,0.00003835372,0.0001030654,0.003827589,0.9798227,0.00002598434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001338381,0.04106797,0.00007715324,0.9211555,0.02569778,0.000007287219,0.00005045705,0.00001189524,0.01059365],"genre_scores_gemma":[0.02981085,0.1063823,0.0002672343,0.7292025,0.1177059,0.00002570603,0.00008594406,0.00002531553,0.01649421],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9874394,"threshold_uncertainty_score":0.03779614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03825822903467042,"score_gpt":0.240729129832683,"score_spread":0.2024709007980126,"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."}}