{"id":"W3036449759","doi":"10.1016/j.eclinm.2020.100408","title":"Cango Lyec (Healing the Elephant): HIV incidence in post-conflict Northern Uganda","year":2020,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Institute of Population and Public Health; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Demography; Incidence (geometry); Hazard ratio; Cohort; Prospective cohort study; Confidence interval; Surgery; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001146172,0.0001741147,0.0003851024,0.0000556424,0.0001116584,0.0000106447,0.000374552,0.0001550989,0.001680518],"category_scores_gemma":[0.001382123,0.0001156929,0.00007397977,0.0004110883,0.0001526023,0.00004669353,0.00004105862,0.0006752325,0.001004379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003169038,"about_ca_system_score_gemma":0.0002199567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004107121,"about_ca_topic_score_gemma":0.01555682,"domain_scores_codex":[0.9976112,0.0002633539,0.0009349436,0.000450066,0.0002821472,0.00045832],"domain_scores_gemma":[0.9978065,0.00108875,0.000191431,0.0004440796,0.0001037949,0.0003654168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008426267,0.0002041692,0.8790953,0.00006476946,0.00006876084,0.0002319725,0.06230594,0.0000266594,0.00009564061,0.001130873,0.03000892,0.02592443],"study_design_scores_gemma":[0.003716409,0.0008138736,0.9058107,0.0000922516,0.00004220601,0.00003411028,0.003792007,0.0005110198,0.00001687379,0.0001608585,0.08479448,0.0002152076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8904956,0.001850795,0.0002304867,0.1030607,0.0005813569,0.0004676549,0.00001655255,0.00007444023,0.003222378],"genre_scores_gemma":[0.9477993,0.0001321493,0.00005782564,0.05004102,0.001440844,0.00004370696,0.00003995026,0.00002366275,0.0004214909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05851394,"threshold_uncertainty_score":0.9997734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05604280763321019,"score_gpt":0.3824876017183232,"score_spread":0.326444794085113,"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."}}