{"id":"W4385501206","doi":"10.2196/44728","title":"Evaluating the Added Value of Digital Contact Tracing Support Tools for Citizens: Framework Development","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rijksinstituut voor Volksgezondheid en Milieu","keywords":"Contact tracing; Workload; Public health; Medicine; Process (computing); Process management; Knowledge management; Computer science; Nursing; Coronavirus disease 2019 (COVID-19); Business; Infectious disease (medical specialty); Disease","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":[0.06726719,0.002471157,0.001592316,0.01398614,0.003093801,0.01005444,0.002789015,0.002797903,0.004804645],"category_scores_gemma":[0.07901923,0.001005201,0.004399346,0.006730142,0.005199328,0.006471085,0.007215603,0.001913841,0.0003031022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03123487,"about_ca_system_score_gemma":0.03505538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03931477,"about_ca_topic_score_gemma":0.03409541,"domain_scores_codex":[0.9494781,0.03858831,0.0032735,0.001686882,0.004913017,0.002060224],"domain_scores_gemma":[0.9117578,0.06906968,0.004068652,0.002254694,0.01128122,0.001567814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008635181,0.002082276,0.03515403,0.02130575,0.0009864561,0.0005886683,0.01646188,0.06126979,0.003067294,0.5037934,0.003919006,0.3505079],"study_design_scores_gemma":[0.001867061,0.008955954,0.04324161,0.06462758,0.006121117,0.0007978875,0.07001128,0.39387,0.01687049,0.2498472,0.1431638,0.0006261678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3050432,0.01284089,0.5113506,0.01084672,0.0002290982,0.05953596,0.003414779,0.000806474,0.09593235],"genre_scores_gemma":[0.3579885,0.00240805,0.6221434,0.0002093835,0.0000147388,0.01558683,0.0008613239,0.00003661283,0.0007511204],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06726719,"threshold_uncertainty_score":0.3557472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.527873398136466,"score_gpt":0.5901564084743586,"score_spread":0.06228301033789252,"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."}}