{"id":"W4411527629","doi":"10.1186/s12940-025-01190-7","title":"Childhood mercury exposure and early death in Grassy Narrows First Nation, Canada: a retrospective study","year":2025,"lang":"en","type":"article","venue":"Environmental Health","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Assembly of First Nations; Université TÉLUQ; Université du Québec à Montréal","funders":"Institute of Indigenous Peoples' Health; Canadian Institutes of Health Research","keywords":"Proportional hazards model; Demography; Confounding; Hazard ratio; Biomonitoring; Medicine; Environmental health; Biology; Ecology; Confidence interval; Surgery; Sociology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004484109,0.0003667809,0.0004026055,0.001579992,0.002525114,0.0009131382,0.001009829,0.0004379807,0.001654266],"category_scores_gemma":[0.001041028,0.0005576834,0.000409136,0.004350477,0.0006925242,0.0003449722,0.0008189189,0.0007240029,0.00030782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01343516,"about_ca_system_score_gemma":0.01798932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833252,"about_ca_topic_score_gemma":0.9891711,"domain_scores_codex":[0.9993055,0.00004087779,0.0000434564,0.00014631,0.0002425647,0.0002213506],"domain_scores_gemma":[0.9986344,0.00005801797,0.000291631,0.00007547819,0.0006368422,0.0003035141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002784549,0.00001404353,0.9983912,0.00001176341,0.00001979188,0.00009644381,0.0003069796,0.00002722243,0.00007874045,0.00001894717,0.0002183983,0.0007886347],"study_design_scores_gemma":[0.000003786455,0.00002972393,0.998109,0.00001809313,0.00001827491,0.0001322993,0.0008856557,0.00007846941,0.00004733438,0.000008949579,0.0006633087,0.000005116502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930708,0.0005235666,0.0001231656,0.00008209042,0.000005585518,0.00006606632,0.004903971,0.000008243697,0.001216495],"genre_scores_gemma":[0.9942573,0.0008066823,0.0002075437,0.00009042098,0.000005024439,0.00004291551,0.003303537,0.000005423438,0.001281132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01667476,"threshold_uncertainty_score":0.09747934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054289526667827,"score_gpt":0.2381011246015796,"score_spread":0.2275582293349014,"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."}}