{"id":"W4281664137","doi":"10.5210/fm.v27i6.12324","title":"COVID-19 contact tracing applications: An analysis of individual motivations for adoption and use","year":2022,"lang":"en","type":"article","venue":"First Monday","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Contact tracing; Coronavirus disease 2019 (COVID-19); Internet privacy; Agency (philosophy); Pandemic; Social distance; Social media; Tracing; Business; World Wide Web; Public relations; Computer science; Political science; Sociology; Infectious disease (medical specialty); Medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00669037,0.0002602951,0.0003107153,0.001775539,0.001781817,0.00305263,0.0006125254,0.0007956018,0.001774167],"category_scores_gemma":[0.03576069,0.0003988363,0.0002699302,0.001346507,0.0009530095,0.002398599,0.002305859,0.001251663,0.0003744729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108254,"about_ca_system_score_gemma":0.001227265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004192309,"about_ca_topic_score_gemma":0.00681742,"domain_scores_codex":[0.9958283,0.00240395,0.0002415335,0.0002823261,0.0008913841,0.0003524102],"domain_scores_gemma":[0.961206,0.02762994,0.005204601,0.001457125,0.00285535,0.001647022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002209612,0.0004606534,0.5073007,0.0003443008,0.00005769388,0.0005454214,0.4084764,0.0001124012,0.002397361,0.001671409,0.001327622,0.07708506],"study_design_scores_gemma":[0.00002031203,0.0004215289,0.6123132,0.0002637443,0.00006343194,0.0006881792,0.3676886,0.002229095,0.001351718,0.001027997,0.0138283,0.0001038368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968613,0.00008683425,0.0007664572,0.0002125015,0.000004515863,0.00007693146,0.00008472297,0.00001506784,0.001891594],"genre_scores_gemma":[0.9971471,0.0001435874,0.001329503,0.00009370625,0.000004858091,0.0001283085,0.0001000721,0.00001732344,0.001035536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00669037,"threshold_uncertainty_score":0.03538245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05459300571987494,"score_gpt":0.3053457270198781,"score_spread":0.2507527213000031,"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."}}