{"id":"W3134737363","doi":"10.2196/24275","title":"Understanding On-Campus Interactions With a Semiautomated, Barcode-Based Platform to Augment COVID-19 Contact Tracing: App Development and Usage","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Amazon Web Services; Vanderbilt University","keywords":"Contact tracing; Barcode; Phone; Coronavirus disease 2019 (COVID-19); Psychological intervention; Mobile phone; Medical education; mHealth; Medicine; Internet privacy; Psychology; Computer science; Nursing; Telecommunications","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":[0.002431648,0.001043822,0.0003367728,0.0006960495,0.0004616061,0.001456238,0.001283023,0.0007104523,0.006467416],"category_scores_gemma":[0.01279952,0.0003078106,0.0005333814,0.0001912884,0.0003065595,0.001740727,0.001723038,0.0005924809,0.002954694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003093433,"about_ca_system_score_gemma":0.0007000393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251671,"about_ca_topic_score_gemma":0.00290246,"domain_scores_codex":[0.9985764,0.0007399908,0.00008934301,0.0002146027,0.0002412604,0.0001382997],"domain_scores_gemma":[0.9936746,0.003922514,0.0004611049,0.0004385271,0.001156375,0.0003468531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001391109,0.004895821,0.1141761,0.004169013,0.0001146244,0.001550308,0.03988431,0.001896156,0.03578111,0.0007274053,0.02858512,0.7668289],"study_design_scores_gemma":[0.0006935871,0.02042727,0.4663917,0.00860376,0.001330834,0.009357884,0.05154664,0.0692342,0.07365116,0.005211675,0.2923168,0.001234475],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158548,0.0006293748,0.04795619,0.00104599,0.0001993028,0.004459518,0.001637464,0.005186928,0.02303051],"genre_scores_gemma":[0.8230613,0.0009723919,0.1606099,0.0008581059,0.00008971881,0.00379954,0.001147572,0.0003956296,0.009065873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006467416,"threshold_uncertainty_score":0.02163559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1675220054064212,"score_gpt":0.3793636056713856,"score_spread":0.2118416002649644,"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."}}