{"id":"W3169723321","doi":"10.1186/s12911-021-01606-7","title":"Interoperability opportunities and challenges in linking mhealth applications and eRecord systems: Botswana as an exemplar","year":2021,"lang":"en","type":"review","venue":"BMC Medical Informatics and Decision Making","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fogarty International Center","keywords":"mHealth; Interoperability; eHealth; Health informatics; Semantic interoperability; Context (archaeology); Knowledge management; Computer science; Business; Health care; Public health; World Wide Web; Medicine; Nursing; Economic growth; Geography; Psychological intervention","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":[0.005373837,0.0003953171,0.0002190319,0.001304948,0.004108046,0.004717971,0.001082967,0.001827277,0.002042225],"category_scores_gemma":[0.005300253,0.000335396,0.000367517,0.003319219,0.002586591,0.003707455,0.004167477,0.001593748,0.0003872702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007177147,"about_ca_system_score_gemma":0.009074107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04281931,"about_ca_topic_score_gemma":0.07223021,"domain_scores_codex":[0.9970015,0.001573232,0.0002005507,0.0001816617,0.0004125336,0.0006306358],"domain_scores_gemma":[0.9963044,0.002294231,0.0003233673,0.0002596004,0.0005719474,0.0002463502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004866633,0.000453889,0.1013463,0.003982778,0.00009227644,0.03298604,0.3709947,0.001579417,0.03438343,0.09939183,0.01324521,0.3410575],"study_design_scores_gemma":[0.00007446466,0.0004895605,0.08692581,0.006666594,0.0001250484,0.009862022,0.4650243,0.002572144,0.00794708,0.02260413,0.3975583,0.0001505345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8823525,0.005809092,0.01272744,0.03662773,0.000200186,0.0006144859,0.0002630447,0.0001133741,0.06129212],"genre_scores_gemma":[0.9690412,0.003751428,0.01647516,0.003473056,0.0000201262,0.0003703481,0.0002396502,0.00005479099,0.006574226],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04281931,"threshold_uncertainty_score":0.08514017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4130631223649512,"score_gpt":0.524087592530646,"score_spread":0.1110244701656947,"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."}}