{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347307,0.000167115,0.00009057703,0.0002763523,0.001158762,0.002626834,0.0005549261,0.0009685483,0.002461661],"category_scores_gemma":[0.0008942138,0.0001795905,0.0001615985,0.0003614296,0.001021538,0.002325013,0.001342108,0.0005935073,0.0003607584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325631,"about_ca_system_score_gemma":0.003084774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005460557,"about_ca_topic_score_gemma":0.009548105,"domain_scores_codex":[0.9996665,0.0001799871,0.00001597029,0.00004250081,0.00003350743,0.00006156475],"domain_scores_gemma":[0.9995652,0.0001040647,0.00004698473,0.00002708617,0.00008574368,0.0001709582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002201187,0.0002248939,0.01852395,0.0002167588,0.00003699468,0.00288663,0.003752756,0.1942395,0.01066945,0.6992189,0.005209718,0.0648004],"study_design_scores_gemma":[0.000159696,0.0006233926,0.01192529,0.0003878077,0.0001044676,0.002669523,0.01889056,0.5449455,0.008238677,0.1974725,0.2144615,0.0001212272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4403098,0.0007684866,0.3604966,0.01851707,0.0001494063,0.0005389691,0.0003577875,0.0003126229,0.1785493],"genre_scores_gemma":[0.8704284,0.001002911,0.1170707,0.0005133189,0.0000216955,0.0001588801,0.0001402251,0.00001056556,0.01065322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005460557,"threshold_uncertainty_score":0.01085758,"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."}}