{"id":"W161708216","doi":"","title":"[Diabetes in Ivory Coast: special epidemiological features].","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epidemiology; Ethnic group; Medicine; Quarter (Canadian coin); Diabetes mellitus; Type 2 diabetes; Demography; Pediatrics; Obesity; Cote d ivoire; Geography; Pathology; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002292381,0.0002502254,0.0001888261,0.001327923,0.000729381,0.0003727732,0.0003336275,0.0004157824,0.004553989],"category_scores_gemma":[0.0007373193,0.0001072162,0.0001251524,0.001994032,0.0002297309,0.0003594737,0.0005628266,0.0004575448,0.0006213765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222343,"about_ca_system_score_gemma":0.0006050089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02443172,"about_ca_topic_score_gemma":0.03051317,"domain_scores_codex":[0.9998451,0.00003207207,0.00003393622,0.00002352073,0.00002547015,0.00003978398],"domain_scores_gemma":[0.9995977,0.00003512138,0.000211526,0.00001982894,0.00005527234,0.00008058585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009101733,0.00004058477,0.9286209,0.0003086921,0.00002616831,0.006976582,0.0009562978,0.00005830545,0.0006787779,0.0005305244,0.02295943,0.03875271],"study_design_scores_gemma":[0.0000105304,0.00008505689,0.9544163,0.0002895587,0.0000148918,0.01335631,0.001085319,0.00006632752,0.00004099322,0.0001362945,0.03048941,0.000008997959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015951,0.02686402,0.0009256897,0.01189259,0.003043944,0.0005262752,0.01867859,0.00008790253,0.03638598],"genre_scores_gemma":[0.9361833,0.02125464,0.002386717,0.004868627,0.001865287,0.0004137071,0.01895667,0.00003057045,0.01404035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02443172,"threshold_uncertainty_score":0.04857898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675067072750141,"score_gpt":0.2191591776097524,"score_spread":0.202408506882251,"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."}}