{"id":"W2782394631","doi":"10.1684/mst.2017.0729","title":"m-Diabete in Senegal. “Be He@lthy Be Mobile”, a program initiated by WHO and the ITU","year":2017,"lang":"en","type":"article","venue":"Médecine et Santé Tropicales","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Francophone University Association","funders":"World Health Organization","keywords":"Scale (ratio); Population; Diabetes mellitus; Limit (mathematics); Health care; European union; Medicine; Gerontology; Business; Telecommunications; Environmental health; Economic growth; Computer science; Geography; Economics; Cartography; International trade","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":[0.0005920384,0.0004064911,0.0001169401,0.0004229846,0.001671725,0.0007943526,0.0003282183,0.0007735803,0.05063947],"category_scores_gemma":[0.001095779,0.0001165335,0.0001493998,0.0004049825,0.0004674623,0.0006882219,0.001812298,0.0005654465,0.007235836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005246499,"about_ca_system_score_gemma":0.002150649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03210178,"about_ca_topic_score_gemma":0.05702152,"domain_scores_codex":[0.9998461,0.00006145778,0.000005807748,0.00001469891,0.00001957027,0.00005228818],"domain_scores_gemma":[0.9995264,0.000115795,0.00004982372,0.00002447303,0.00007063006,0.000212911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001143427,0.0007235967,0.07118291,0.001317886,0.00004507783,0.004957101,0.007854373,0.0002164277,0.01545674,0.007498774,0.3169472,0.5726566],"study_design_scores_gemma":[0.0002067108,0.000586836,0.1217116,0.0007956509,0.00004548905,0.002358489,0.01608874,0.0002731142,0.00442867,0.001432857,0.8519881,0.00008372829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4263654,0.009301504,0.002357594,0.06695243,0.002864013,0.0006595609,0.01234663,0.00190576,0.4772471],"genre_scores_gemma":[0.724363,0.008384474,0.006807566,0.02120656,0.0004313371,0.0007565626,0.003159378,0.0002001909,0.2346909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05063947,"threshold_uncertainty_score":0.1694059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06310004260397221,"score_gpt":0.469065199287199,"score_spread":0.4059651566832268,"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."}}