{"id":"W2079807059","doi":"10.4018/jhisi.2008010103","title":"Envisioning a National e-Medicine Network Architecture in a Developing Country","year":2008,"lang":"en","type":"article","venue":"International Journal of Healthcare Information Systems and Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Developing country; Rationing; Health care; Business; Developed country; Perinatal medicine; Architecture; Public relations; Economic growth; Political science; Medicine; Economics; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.001204135,0.000132793,0.0003761514,0.000753978,0.0001087991,0.00003288322,0.0001138646,0.00009069056,0.00001197934],"category_scores_gemma":[0.000325643,0.0001005959,0.00003575156,0.0002925346,0.00006290053,0.001198726,0.0000315796,0.0003570389,0.000005119152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561692,"about_ca_system_score_gemma":0.0008011042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002665168,"about_ca_topic_score_gemma":0.00002084119,"domain_scores_codex":[0.9961165,0.00003985308,0.002329502,0.00004284377,0.001258086,0.000213177],"domain_scores_gemma":[0.9967834,0.0001370761,0.001256224,0.00006351511,0.001600947,0.0001588505],"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":[0.001815251,0.0001052325,0.6352342,0.003728069,0.00052706,0.0002488,0.08644207,0.009383306,0.00001245695,0.09092765,0.06230428,0.1092716],"study_design_scores_gemma":[0.007957136,0.0009763422,0.2388334,0.003756986,0.00002267839,0.01995535,0.01074469,0.005565196,0.000006625829,0.0004417461,0.7114947,0.0002451642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588085,0.002907955,0.06302779,0.05875281,0.005555095,0.001738698,0.00007568557,0.0000792518,0.009054228],"genre_scores_gemma":[0.9813532,0.00155051,0.006350389,0.009683947,0.0009199274,0.000008988898,0.0001124875,0.000006133743,0.00001443269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6491904,"threshold_uncertainty_score":0.4102183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03442426235635011,"score_gpt":0.3523812800746814,"score_spread":0.3179570177183313,"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."}}