{"id":"W3047474781","doi":"10.2196/20572","title":"Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach","year":2020,"lang":"en","type":"letter","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":296,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contact tracing; Health belief model; Psychology; Population; Coronavirus disease 2019 (COVID-19); Computer-assisted web interviewing; Internet privacy; Structural equation modeling; Risk perception; Environmental health; Medicine; Public health; Social psychology; Disease; Health promotion; Computer science; Nursing; Perception; Business; Marketing","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":[0.004633233,0.0008445962,0.0007477282,0.002581818,0.0007761857,0.002443427,0.001444154,0.001325563,0.00537335],"category_scores_gemma":[0.005767813,0.0005259196,0.002168348,0.001455194,0.0006213211,0.001366138,0.001360009,0.002227906,0.0003847272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002682136,"about_ca_system_score_gemma":0.002153196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0121345,"about_ca_topic_score_gemma":0.01051913,"domain_scores_codex":[0.9987048,0.0008909561,0.00004704661,0.0001308595,0.0001027268,0.0001236604],"domain_scores_gemma":[0.9954296,0.003805731,0.0002985097,0.0000577262,0.0002199524,0.0001883155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009680619,0.007917508,0.6835742,0.001262131,0.002655779,0.001007514,0.02949772,0.05469423,0.001520885,0.02738188,0.003862139,0.1856579],"study_design_scores_gemma":[0.0003259286,0.002181061,0.1432071,0.001291925,0.00162826,0.0003187035,0.02134741,0.7995715,0.0005357604,0.02710413,0.002355799,0.0001323268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499533,0.0004928651,0.04192905,0.002073036,0.00004332015,0.000605799,0.0004496031,0.00007196353,0.004381005],"genre_scores_gemma":[0.9785889,0.0003653657,0.01938181,0.0001550218,0.00001487511,0.0005683573,0.0002062594,0.000006176513,0.000713115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0121345,"threshold_uncertainty_score":0.02450317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09273712930790905,"score_gpt":0.3348043881351599,"score_spread":0.2420672588272508,"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."}}