{"id":"W6959193163","doi":"10.7910/dvn/bafcuy","title":"Replication Data for: An Empiric Risk Score to Guide PrEP Targeting Among MSM in Coastal Kenya","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cohort; Poisson regression; Risk assessment; Incidence (geometry); Confidence interval; Cohort study; Framingham Risk Score; Receiver operating characteristic","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":[0.006646123,0.0009100396,0.000584896,0.001521856,0.0008001358,0.001137715,0.001652111,0.001026723,0.02432647],"category_scores_gemma":[0.0218204,0.0005102601,0.0008890269,0.001656343,0.0002679665,0.0007202791,0.001161962,0.001096528,0.01054926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055379,"about_ca_system_score_gemma":0.003419922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06354527,"about_ca_topic_score_gemma":0.06335461,"domain_scores_codex":[0.9986345,0.0005400307,0.0001697053,0.0002585897,0.000255292,0.0001419023],"domain_scores_gemma":[0.9939604,0.001662109,0.0006556204,0.001415002,0.002015173,0.0002917895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00145029,0.0004362399,0.1927903,0.001153608,0.0003128252,0.0003162185,0.0006619542,0.004452098,0.001462516,0.00163392,0.7311151,0.06421495],"study_design_scores_gemma":[0.003216852,0.0008874383,0.4162593,0.001877399,0.000510509,0.0005203024,0.00246498,0.02439908,0.004653542,0.003166897,0.5417795,0.0002642819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03236805,0.0001157297,0.002848388,0.0007034226,0.0001424673,0.001458164,0.9572056,0.0009863202,0.004171926],"genre_scores_gemma":[0.08230246,0.00015346,0.02337256,0.0002899322,0.00005363412,0.005090974,0.8819882,0.0003892803,0.006359492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06354527,"threshold_uncertainty_score":0.1263508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03758854719263934,"score_gpt":0.2974440370935007,"score_spread":0.2598554899008614,"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."}}