{"id":"W2917458973","doi":"10.2196/12949","title":"Development of an eHealth Readiness Assessment Framework for Botswana and Other Developing Countries: Interview Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fogarty International Center","keywords":"eHealth; Developing country; Computer science; Medical education; Knowledge management; Business; Medicine; Health care; Political science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006942082,0.0002250083,0.0007750745,0.0001371294,0.0003574314,0.00001420809,0.000358494,0.0004146483,0.000311603],"category_scores_gemma":[0.0002188914,0.0001735291,0.00003073077,0.0002231308,0.00005212298,0.0002223147,0.0001681628,0.0008415096,0.00007068615],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000630827,"about_ca_system_score_gemma":0.006465842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006376053,"about_ca_topic_score_gemma":0.0004163311,"domain_scores_codex":[0.9950275,0.0004374639,0.002688131,0.0001809544,0.0008889861,0.0007768929],"domain_scores_gemma":[0.9967568,0.001152968,0.0009488261,0.0004259348,0.0002698239,0.0004456453],"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":[0.0002100658,0.0008188406,0.1146922,0.07845327,0.0003594078,0.00000225039,0.4935785,0.000001169929,0.00000152473,0.09960918,0.002498533,0.2097751],"study_design_scores_gemma":[0.004521417,0.001403722,0.01848958,0.01091435,0.00003125675,0.000007762652,0.163926,0.006346719,0.000006670839,0.001036873,0.7927451,0.0005706626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8906653,0.0001016224,0.09821404,0.0009983385,0.001109524,0.007697247,0.00001365026,0.0000955764,0.001104735],"genre_scores_gemma":[0.4804393,0.0002774629,0.4815847,0.03106358,0.0006426185,0.00527993,0.00007938993,0.0001576502,0.0004753295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7902465,"threshold_uncertainty_score":0.9991665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09804461106373762,"score_gpt":0.5151847724293199,"score_spread":0.4171401613655823,"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."}}