{"id":"W2900102666","doi":"10.1186/s12889-018-6056-7","title":"Patterns of non-communicable disease and injury risk factors in Kenyan adult population: a cluster analysis","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; African Population and Health Research Center; Universiteit Utrecht; International Development Research Centre; AstraZeneca","keywords":"Medicine; Non-communicable disease; Biostatistics; Environmental health; Multinomial logistic regression; Population; Public health; Cluster (spacecraft); Epidemiology; Cluster analysis; Logistic regression; Demography; Pathology; Statistics; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001289287,0.0003121747,0.000351293,0.002745334,0.001449902,0.0007654604,0.0005446383,0.0003500813,0.001522767],"category_scores_gemma":[0.002417353,0.0002831338,0.0007329712,0.002874241,0.000520885,0.0003937974,0.001109931,0.0003911295,0.0001670768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180809,"about_ca_system_score_gemma":0.001376238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06437665,"about_ca_topic_score_gemma":0.06358326,"domain_scores_codex":[0.9991828,0.000264987,0.0001011503,0.0001770937,0.0001371985,0.0001368393],"domain_scores_gemma":[0.9990702,0.0002054413,0.0003146493,0.00007618979,0.0002200818,0.0001133839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000735838,0.00002952226,0.9956839,0.00003918687,0.00009501016,0.00006347846,0.001130682,0.0002313105,0.0001856648,0.00009251083,0.0002441616,0.00213094],"study_design_scores_gemma":[0.000006110337,0.00008216372,0.9919945,0.00005331302,0.00007475387,0.0001530791,0.004541053,0.002368357,0.00009636881,0.0001144419,0.0004991963,0.00001662168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985607,0.0001290153,0.0003464684,0.00006158622,0.000003363078,0.00008463907,0.0005448632,0.000003492768,0.0002658332],"genre_scores_gemma":[0.9980528,0.0001068073,0.0009082248,0.00001182443,0.000003081844,0.00007493133,0.0007050956,0.000002217611,0.0001349531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06437665,"threshold_uncertainty_score":0.1280039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818567141076294,"score_gpt":0.3694689998855478,"score_spread":0.3312833284747849,"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."}}