{"id":"W4220939341","doi":"10.2196/35380","title":"Digital Health Opportunities to Improve Primary Health Care in the Context of COVID-19: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal do Rio Grande do Norte; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Health care; Multidisciplinary approach; Context (archaeology); Thematic analysis; Grey literature; Digital health; Data extraction; Telemedicine; Systematic review; Business; Nursing; Psychology; Medicine; MEDLINE; Geography; Political science; Qualitative research; Sociology; Economic growth; Social science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008015994,0.000149819,0.0005901929,0.0002477132,0.0003318436,0.00001269551,0.0001648051,0.00001655718,0.0003068608],"category_scores_gemma":[0.00010809,0.0001136885,0.00007417316,0.000255136,0.00004679117,0.00008735582,0.00008986511,0.0002668733,0.000001239814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045097,"about_ca_system_score_gemma":0.003039205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009618555,"about_ca_topic_score_gemma":0.0007991241,"domain_scores_codex":[0.9976887,0.0002279685,0.0008806016,0.0002360359,0.0006114233,0.0003552503],"domain_scores_gemma":[0.9986873,0.0001361108,0.0004165485,0.0003202107,0.00005214654,0.0003877249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002432582,0.0005796088,0.07456844,0.1237566,0.00005677294,0.0000630897,0.2412589,0.000001501248,0.00004565672,0.0009515574,0.3013541,0.2571206],"study_design_scores_gemma":[0.004971907,0.01510103,0.07049695,0.009929575,0.00003689313,0.00004836258,0.3683627,3.334157e-7,0.00002549194,0.00002623959,0.5306164,0.000384135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7677905,0.03671565,0.0000353094,0.1721513,0.0003520941,0.01962834,0.001128358,0.0001470172,0.002051431],"genre_scores_gemma":[0.7998723,0.0005916893,0.00001169588,0.1973895,0.00006061062,0.000459002,0.001495972,0.00001929299,0.00009986566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2567364,"threshold_uncertainty_score":0.5391418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178466881342772,"score_gpt":0.4396893582920339,"score_spread":0.3218426701577567,"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."}}