{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004919269,0.0003268269,0.0003937377,0.0003582744,0.0008424587,0.0004520023,0.000223977,0.00007780889,0.00001004906],"category_scores_gemma":[0.0000971496,0.000296079,0.00003495769,0.0006362002,0.00003356508,0.0005450348,0.0001398755,0.0003674148,0.00001089655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002279142,"about_ca_system_score_gemma":0.00476082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203539,"about_ca_topic_score_gemma":0.001297847,"domain_scores_codex":[0.9972971,0.00008652556,0.0005171174,0.0008677159,0.0004688946,0.000762642],"domain_scores_gemma":[0.9968688,0.0007353104,0.0001942841,0.0004292506,0.00006524338,0.001707102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006377852,0.004673957,0.04829719,0.0378181,0.0005516851,0.004960288,0.1593223,0.01277354,0.001735303,0.4178903,0.01081334,0.2947861],"study_design_scores_gemma":[0.05374624,0.01791062,0.2564915,0.01529488,0.0003950436,0.00330292,0.02180742,0.3351825,0.01110284,0.01078174,0.2629809,0.0110035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2826304,0.0001517041,0.7011681,0.01341213,0.0002179331,0.0009370451,0.0000182843,0.0004477378,0.001016596],"genre_scores_gemma":[0.9661376,0.00001879096,0.01197844,0.02159331,0.00003276868,0.0001086262,0.00001617392,0.00002329998,0.00009092764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6891897,"threshold_uncertainty_score":0.9999492,"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."}}