{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003431817,0.0001387616,0.0002013299,0.0007233042,0.0004041575,0.0011673,0.000187054,0.0003454022,0.003716341],"category_scores_gemma":[0.03376921,0.0001309015,0.0004426489,0.0004050049,0.0005358855,0.0004373555,0.001149221,0.0006243513,0.000154153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008614246,"about_ca_system_score_gemma":0.001351985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031943,"about_ca_topic_score_gemma":0.002643914,"domain_scores_codex":[0.9950792,0.00221172,0.0005256149,0.0002301335,0.001183654,0.000769703],"domain_scores_gemma":[0.9560249,0.02536596,0.01064293,0.0006226221,0.003208815,0.004134783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001769612,0.0002532037,0.9772325,0.0001106819,0.00007035787,0.0001167383,0.002976239,0.0001057243,0.0004097194,0.00008659433,0.0002569717,0.01820428],"study_design_scores_gemma":[0.00001733756,0.0006208498,0.9928423,0.00009981624,0.00004752636,0.0001961363,0.00466376,0.0003630827,0.0003177795,0.00009900821,0.0007184392,0.00001407833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963918,0.0002141618,0.0001484926,0.0005840769,0.000008757954,0.00002962546,0.00007005317,0.000004035032,0.00254894],"genre_scores_gemma":[0.9996287,0.00006474881,0.00008590111,0.00007497389,0.000005870236,0.0000107557,0.00002458328,5.819554e-7,0.0001038775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003716341,"threshold_uncertainty_score":0.01814938,"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."}}