{"id":"W4394061159","doi":"10.2196/53940","title":"Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Contact tracing; Computer science; Tracing; Human–computer interaction; Medicine; Operating system","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":[0.006380607,0.0002157878,0.0003639988,0.001233643,0.0007098338,0.001216329,0.000347666,0.0006711819,0.001624544],"category_scores_gemma":[0.01398402,0.0004736193,0.0006666499,0.0008950538,0.0006728054,0.001390173,0.0009182976,0.0009081371,0.0003314003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004466203,"about_ca_system_score_gemma":0.0005663859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00289201,"about_ca_topic_score_gemma":0.002518082,"domain_scores_codex":[0.9966546,0.001638568,0.0004396639,0.0003317261,0.0005894784,0.0003457917],"domain_scores_gemma":[0.9798664,0.01108755,0.004036821,0.0008445433,0.00277647,0.001388199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007245875,0.000422424,0.9878264,0.00006437171,0.00004518924,0.00007830148,0.008020569,0.00003998333,0.0002786718,0.00003531675,0.0000996824,0.003016426],"study_design_scores_gemma":[0.000007628771,0.0008573623,0.9877173,0.00003667098,0.00003454289,0.0002066896,0.01001745,0.0004818257,0.0001956542,0.00002602381,0.0004018915,0.00001707452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993834,0.00003632549,0.0001605229,0.00002517799,0.000001948201,0.00005207437,0.00008782035,0.000002737447,0.0002499856],"genre_scores_gemma":[0.9993747,0.00004829181,0.0002561717,0.00004454679,0.00000358936,0.00009084165,0.00007485326,0.000001974855,0.0001050566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006380607,"threshold_uncertainty_score":0.03374428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05065530336728808,"score_gpt":0.3539724912105967,"score_spread":0.3033171878433086,"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."}}