{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006715244,0.0003415657,0.0007624142,0.0002614245,0.005416199,0.00004023822,0.001627932,0.0003066772,0.00741855],"category_scores_gemma":[0.005823368,0.0002553033,0.0002390308,0.001884757,0.0004847695,0.0001417899,0.0009405462,0.003960172,0.000177345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000761007,"about_ca_system_score_gemma":0.00557773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446177,"about_ca_topic_score_gemma":0.0006333667,"domain_scores_codex":[0.9891049,0.002665225,0.002635104,0.000670685,0.003539733,0.001384387],"domain_scores_gemma":[0.9923289,0.001789571,0.001443925,0.0009173077,0.0004987662,0.003021489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002070854,0.0005806039,0.004871198,0.0007540061,0.0001405574,0.0009815953,0.3910238,0.0001927883,0.00003578265,0.004581285,0.0665177,0.5282499],"study_design_scores_gemma":[0.006498582,0.0006608994,0.003448606,0.0005445617,0.0001515784,0.003494417,0.4798502,0.005165259,0.000005304768,0.002936726,0.49652,0.0007238081],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4283324,0.001399594,0.3693029,0.1682068,0.005305796,0.0126168,0.001091333,0.0004118377,0.01333254],"genre_scores_gemma":[0.9772289,0.00008639725,0.001759337,0.01385646,0.002546294,0.004056931,0.00004464945,0.00005854701,0.0003624954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5488965,"threshold_uncertainty_score":0.9999899,"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."}}