{"id":"W2809589202","doi":"10.1093/ije/dyy075","title":"HDSS Profile: Mlomp Health and Demographic Surveillance System (Mlomp HDSS), Senegal","year":2018,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"European Commission; World Health Organization","keywords":"Medicine; Optometry; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004359976,0.0006935638,0.0003362229,0.002774778,0.0005028481,0.0005540153,0.0006381001,0.0003655508,0.02344535],"category_scores_gemma":[0.001978977,0.0003153828,0.0002189956,0.005116852,0.00012007,0.0004961414,0.0009040663,0.0003242819,0.009530867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119002,"about_ca_system_score_gemma":0.003255965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2003327,"about_ca_topic_score_gemma":0.208476,"domain_scores_codex":[0.9996957,0.00005765315,0.00005708067,0.00005036574,0.00006580762,0.00007344263],"domain_scores_gemma":[0.9989648,0.00006642878,0.0001768135,0.00006407131,0.0005724572,0.0001554571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005642931,0.0001672677,0.6142491,0.0006034215,0.00009287371,0.000551576,0.0009950965,0.0005953831,0.002826223,0.0004508552,0.2981849,0.08071896],"study_design_scores_gemma":[0.00006069012,0.0000770984,0.9025717,0.0001729417,0.00004323946,0.0003451633,0.001019227,0.0004990678,0.001300824,0.0001297156,0.09375171,0.00002860192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1401272,0.0004160946,0.0008061989,0.000843502,0.00008363821,0.0007673672,0.8266776,0.0004723606,0.02980601],"genre_scores_gemma":[0.327521,0.002432117,0.005348693,0.001229954,0.0001642424,0.003428049,0.5692789,0.0003732473,0.09022381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2003327,"threshold_uncertainty_score":0.3983331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106001199925157,"score_gpt":0.3680469107841497,"score_spread":0.3369868987848981,"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."}}