{"id":"W4310578926","doi":"10.2196/44497","title":"Addendum: The Dutch COVID-19 Notification App: Lessons Learned From a Mixed Methods Evaluation Among End Users and Contact-Tracing Employees","year":2022,"lang":"en","type":"erratum","venue":"JMIR Formative Research","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Addendum; Contact tracing; Coronavirus disease 2019 (COVID-19); Tracing; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Psychology; Medicine; Virology; Operating system; Political science; Internal medicine; Outbreak","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":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01817004,0.0006363101,0.0007846539,0.001267675,0.002614563,0.002773834,0.003344357,0.0005103044,0.0003366679],"category_scores_gemma":[0.005670622,0.0005378768,0.0002661506,0.002299871,0.0004934458,0.003408991,0.002962638,0.004794433,0.0000584494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003051678,"about_ca_system_score_gemma":0.003881144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618455,"about_ca_topic_score_gemma":0.001882661,"domain_scores_codex":[0.9829428,0.008824615,0.001005463,0.001664663,0.004359782,0.001202698],"domain_scores_gemma":[0.9839216,0.01163314,0.0007540082,0.002134364,0.00100908,0.0005478242],"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":[0.0001955855,0.0003564823,0.0003036086,0.0009945611,0.0006139269,0.0000517418,0.1428279,0.000356765,0.0008381107,0.01199716,0.4848977,0.3565665],"study_design_scores_gemma":[0.003297494,0.00132503,0.06568307,0.00108448,0.0002342727,0.00002794658,0.03443158,0.2821062,0.001174414,0.03973357,0.5683029,0.002599098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06036397,0.008603631,0.7518812,0.08225282,0.03216887,0.02113565,0.00213317,0.002472107,0.03898856],"genre_scores_gemma":[0.9804625,0.0005698603,0.003051136,0.0007204687,0.0007253675,0.004777291,0.001866854,0.0001534081,0.007673123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9200985,"threshold_uncertainty_score":0.9997073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2564491577388655,"score_gpt":0.5027875173931662,"score_spread":0.2463383596543007,"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."}}