{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001309075,0.0002965008,0.0007040869,0.000108078,0.002029641,0.00007048848,0.0005124519,0.0003135075,0.0002027062],"category_scores_gemma":[0.00103209,0.0001997908,0.00007565233,0.0001868206,0.0005959414,0.0001882877,0.0002864468,0.001218458,0.00004835088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000926258,"about_ca_system_score_gemma":0.0004013645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129887,"about_ca_topic_score_gemma":0.003207903,"domain_scores_codex":[0.9959269,0.001159584,0.001019963,0.0005631567,0.0003110942,0.001019302],"domain_scores_gemma":[0.9959282,0.001759124,0.000524554,0.001174154,0.0001395844,0.0004744306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00111159,0.001145174,0.6554146,0.001326744,0.00006771297,0.00001335778,0.003430424,0.000002999845,0.000186956,0.03860529,0.1580066,0.1406885],"study_design_scores_gemma":[0.008379725,0.0002103723,0.4923927,0.0002286904,0.00002830024,0.000001876851,0.0005651498,0.0003092911,0.000011862,0.001783365,0.4958978,0.0001908211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854974,0.002619217,0.0001831291,0.09402711,0.0003459033,0.01094091,0.0002110984,0.0002525472,0.005922689],"genre_scores_gemma":[0.947494,0.005663805,0.0007515917,0.01639755,0.0003325207,0.02811329,0.0001037311,0.00005212804,0.001091406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3378912,"threshold_uncertainty_score":0.9992696,"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."}}