{"id":"W4292756765","doi":"10.2196/41561","title":"Impact of Digital Literacy Levels of Health Care Professionals on Perceived Quality of Care","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Apprehension; Digital literacy; Health literacy; Health care; Literacy; Medicine; Digital health; Nursing; Perception; Scale (ratio); Quality (philosophy); Population; Psychology; Family medicine; Medical education; Environmental health; Pedagogy","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":[0.0003517183,0.0001457462,0.0005115672,0.0001638327,0.0001373693,0.000005751648,0.0002184959,0.00005260906,0.0007507504],"category_scores_gemma":[0.00006618552,0.0001282663,0.000221044,0.0002738572,0.00006044074,0.0001146051,0.0001190712,0.0002177435,0.000004162683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006703461,"about_ca_system_score_gemma":0.0007450995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002444967,"about_ca_topic_score_gemma":0.000007702918,"domain_scores_codex":[0.9981656,0.00008428554,0.0007239751,0.0002960459,0.0004437713,0.0002863167],"domain_scores_gemma":[0.9985968,0.0001556394,0.0006552011,0.0001956733,0.0002926596,0.0001039815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001457246,0.001059643,0.2730464,0.003421356,0.00008117328,0.000001408344,0.6681998,0.00000340033,0.002916023,0.001520368,0.001612233,0.04668093],"study_design_scores_gemma":[0.001094271,0.003210881,0.8724979,0.0001726818,0.000006618924,0.00000273576,0.1221097,7.451897e-7,0.0002807917,0.00008816509,0.0004176294,0.0001179965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931835,0.0008083223,0.000001650483,0.0002615365,0.0002339682,0.0004757119,0.002046479,0.00002125826,0.002967579],"genre_scores_gemma":[0.9992229,0.000002913411,0.00002075953,0.0002973064,0.00003367138,0.00003430852,0.00007368327,0.00001941236,0.0002950588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5994514,"threshold_uncertainty_score":0.822019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121417796491251,"score_gpt":0.5216965314029817,"score_spread":0.4002787349117307,"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."}}