{"id":"W4395696725","doi":"10.1093/ije/dyae058","title":"Cohort Profile Update: Magu Health and Demographic Surveillance System, Tanzania","year":2024,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Tanzania; Cohort; Environmental health; Medicine; Cohort study; Public health surveillance; Epidemiology; Geography; Public health; Environmental planning; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.006166873,0.001228489,0.0009916924,0.006922518,0.0004974488,0.001471052,0.001619091,0.0007342429,0.02495292],"category_scores_gemma":[0.01960982,0.0009762983,0.0009020103,0.007773773,0.0001366946,0.001222847,0.00149515,0.001403239,0.0125413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285903,"about_ca_system_score_gemma":0.004616024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05257888,"about_ca_topic_score_gemma":0.05147462,"domain_scores_codex":[0.9982615,0.000370513,0.0005054388,0.000206362,0.00049085,0.0001652922],"domain_scores_gemma":[0.9882662,0.001725273,0.00164887,0.001414521,0.005763598,0.001181535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003452479,0.00005413772,0.04033335,0.00117274,0.0001410197,0.00007852824,0.000145996,0.0002001783,0.0002271978,0.0003596216,0.9228339,0.03410817],"study_design_scores_gemma":[0.0009847269,0.0001543989,0.3674946,0.002596104,0.0002739301,0.0004345642,0.0002462647,0.0008798015,0.0004430164,0.0005774201,0.6258289,0.00008638619],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003334072,0.001232526,0.00087614,0.0006502902,0.0003772751,0.0007789474,0.9898524,0.000546628,0.002351698],"genre_scores_gemma":[0.008102125,0.001542148,0.003057944,0.0004683927,0.000307864,0.003234901,0.9775676,0.0002068883,0.005512132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05257888,"threshold_uncertainty_score":0.1045457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000296240449579,"score_gpt":0.3515429617329522,"score_spread":0.3315399993284564,"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."}}