{"id":"W3088450716","doi":"10.1136/bmjopen-2020-038507","title":"Cohort profile: health effects monitoring programme in Ndilǫ, Dettah and Yellowknife (YKHEMP)","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; Health Canada; University of Ottawa","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Crown-Indigenous Relations and Northern Affairs Canada; Canada Research Chairs; Health Canada; Université du Québec en Outaouais; University of Ottawa","keywords":"Medicine; Arsenic; Urine; Population; Cohort study; Young adult; Environmental health; Demography; Gerontology; 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":[0.001102656,0.0004385162,0.0003853898,0.0006914635,0.001503524,0.0005571083,0.001036249,0.0003451611,0.002827864],"category_scores_gemma":[0.00116384,0.0004860972,0.0004104874,0.001556135,0.0002013675,0.0002494693,0.001218895,0.0005752537,0.001171299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003084978,"about_ca_system_score_gemma":0.006101146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4909641,"about_ca_topic_score_gemma":0.6408069,"domain_scores_codex":[0.9994839,0.0000723687,0.00003766611,0.000147266,0.0001168029,0.0001420282],"domain_scores_gemma":[0.9989503,0.00004323184,0.0002207469,0.0001410995,0.000398962,0.0002456956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004676107,0.0001007627,0.979444,0.0001404354,0.00009072596,0.0001496881,0.0004623654,0.0001065527,0.0008565581,0.00009475792,0.0113007,0.006785775],"study_design_scores_gemma":[0.00006309748,0.00008225242,0.9927273,0.00005757212,0.00003401845,0.00009533334,0.000293168,0.0001006805,0.0001669725,0.000015175,0.006357541,0.00000687942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8079264,0.000733131,0.001630792,0.0004033084,0.00009549941,0.002029653,0.1807054,0.0001043236,0.006371454],"genre_scores_gemma":[0.7720433,0.001174725,0.007000572,0.0006594424,0.00006858363,0.005986987,0.1866092,0.0001035076,0.02635367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5090359,"threshold_uncertainty_score":0.9762128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05488928079003164,"score_gpt":0.3618545595308039,"score_spread":0.3069652787407722,"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."}}