{"id":"W4235913043","doi":"10.4018/978-1-60566-050-9.ch099","title":"Envisioning a National e-Medicine Network Architecture in a Developing Country","year":2011,"lang":"en","type":"book-chapter","venue":"Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Developing country; Rationing; Business; Architecture; Health care; Developed country; Economic growth; Public relations; Medicine; Political science; Economics; Environmental health; Geography","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.005890647,0.0004733236,0.00111749,0.0004207359,0.0004492335,0.000006069374,0.0005576854,0.002040136,0.005342542],"category_scores_gemma":[0.001516564,0.0003679912,0.00006892128,0.0001753331,0.0002330681,0.0001005526,0.0002869897,0.005868044,0.001078614],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575068,"about_ca_system_score_gemma":0.008513653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001934984,"about_ca_topic_score_gemma":0.001549617,"domain_scores_codex":[0.9925433,0.0002047773,0.003527235,0.0002254719,0.002243167,0.001256036],"domain_scores_gemma":[0.9955779,0.001985936,0.001285755,0.0003239918,0.0003029652,0.0005234515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007063805,0.00001435761,0.000607975,0.005126366,0.0001148145,0.00005430264,0.01814125,0.00004323254,6.282092e-8,0.6995885,0.2381454,0.03809318],"study_design_scores_gemma":[0.0009203474,0.00008757092,0.00008051627,0.01998091,0.00001359848,0.00003549725,0.0001917145,0.001012681,3.327217e-8,0.03713519,0.9402008,0.0003411444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006135422,0.001216814,0.01264601,0.002592239,0.002229439,0.001404401,0.00002043719,0.0001437217,0.9796856],"genre_scores_gemma":[0.00212223,0.01134158,0.02366859,0.1780589,0.02770744,0.001037944,0.00191073,0.0006682916,0.7534843],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7020554,"threshold_uncertainty_score":0.9998772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07895621331614597,"score_gpt":0.4047133119786389,"score_spread":0.3257570986624929,"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."}}