{"id":"W4210435439","doi":"10.7196/samj.2022.v112i2.15799","title":"Facilitating remote access to specialist medical expertise through the scaled up adoption of a smartphone application: A South African case","year":2022,"lang":"en","type":"article","venue":"South African Medical Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Referral; Context (archaeology); Quarter (Canadian coin); Descriptive statistics; Government (linguistics); Public health; Family medicine; Economic shortage; Medical emergency; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176032,0.0006413681,0.0003841895,0.001075843,0.00482021,0.001972098,0.001069992,0.002805919,0.003759637],"category_scores_gemma":[0.008927064,0.0004864077,0.0005249357,0.001001584,0.002311756,0.00200015,0.0028307,0.002839618,0.0004345085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278253,"about_ca_system_score_gemma":0.00217284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010641,"about_ca_topic_score_gemma":0.01789887,"domain_scores_codex":[0.9982248,0.0006697278,0.0001309769,0.0001578533,0.0002133701,0.000603287],"domain_scores_gemma":[0.9962429,0.001609047,0.0006559644,0.0001199122,0.0001786997,0.001193472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.00009257312,0.0005274453,0.05299984,0.0003825664,0.00002084786,0.8325201,0.08804844,0.0002218643,0.00115178,0.005005907,0.003010366,0.0160183],"study_design_scores_gemma":[0.00004148875,0.0006882272,0.04361328,0.001258711,0.00006463814,0.7607931,0.1696016,0.001951819,0.001105497,0.003464126,0.01731928,0.00009826134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974131,0.001040694,0.001415051,0.01101556,0.0001005425,0.0002067619,0.00006703837,0.00002255011,0.01200074],"genre_scores_gemma":[0.9939126,0.001332434,0.001077887,0.001423168,0.0000903598,0.00006608741,0.00002064631,0.00001782854,0.002058865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.010641,"threshold_uncertainty_score":0.02115816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07163977952450888,"score_gpt":0.4224112246576955,"score_spread":0.3507714451331866,"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."}}