{"id":"W1976907388","doi":"10.1186/1472-6963-14-s1-s9","title":"Medical and economic benefits of telehealth in low- and middle-income countries: results of a study in four district hospitals in Mali","year":2014,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; International Development Research Centre; Government of Canada","keywords":"Health administration; Health informatics; Nursing research; Medicine; Telehealth; Low and middle income countries; Middle income; Health economics; Low income; Public health; Health services research; Quality of Life Research; Socioeconomics; Environmental health; Telemedicine; Nursing; Health care; Developing country; Economic growth; Demographic economics","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":[0.0009499296,0.0004665542,0.0004406485,0.001160084,0.001273199,0.001301407,0.0005448555,0.0006634956,0.002288728],"category_scores_gemma":[0.003820965,0.0004871055,0.0006123459,0.001670008,0.0009659008,0.0006182204,0.001538861,0.0006307473,0.0003272637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002884028,"about_ca_system_score_gemma":0.001197614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824159,"about_ca_topic_score_gemma":0.02683416,"domain_scores_codex":[0.9987765,0.000494424,0.00006823734,0.00006936211,0.0001059161,0.0004855604],"domain_scores_gemma":[0.9969338,0.0009169406,0.0009475996,0.0001087213,0.0003002975,0.0007926864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005126835,0.0007577268,0.9866533,0.0001098445,0.00008262764,0.0009375613,0.004372148,0.0002175052,0.0002803525,0.00005535451,0.0002849622,0.005735955],"study_design_scores_gemma":[0.00005946871,0.0008137588,0.9905788,0.00002161351,0.00002722507,0.0002191705,0.007871013,0.0001283607,0.00005958605,0.00001167801,0.0001977668,0.00001144056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997098,0.00005314043,0.00000980115,0.00004736582,0.000001438567,0.00001376996,0.00005693919,5.807069e-7,0.0001070999],"genre_scores_gemma":[0.9996288,0.00009351917,0.00002636574,0.00005402068,0.000005018442,0.00002120829,0.00006216722,6.834678e-7,0.0001082517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01824159,"threshold_uncertainty_score":0.0362708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05034283070319177,"score_gpt":0.4182612224544839,"score_spread":0.3679183917512922,"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."}}