{"id":"W4361015771","doi":"10.2196/41479","title":"The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychosocial; Psychology; Health literacy; Descriptive statistics; Population; Cluster (spacecraft); Perception; Socioeconomic status; Government (linguistics); Applied psychology; Social psychology; Medicine; Health care; Environmental health; Political science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.005083637,0.0001434664,0.0002660948,0.001276297,0.0007752739,0.0005725083,0.001405444,0.00007331719,0.000009082591],"category_scores_gemma":[0.0008989814,0.0001034757,0.0002258014,0.007482772,0.00015508,0.001674934,0.0009808559,0.000471474,0.0002957135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004414545,"about_ca_system_score_gemma":0.0004637187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001682817,"about_ca_topic_score_gemma":0.0002376323,"domain_scores_codex":[0.9964372,0.0005799611,0.0004830611,0.0003538071,0.001420712,0.0007252665],"domain_scores_gemma":[0.9937455,0.004528937,0.0001615686,0.0008317273,0.0004806102,0.0002516496],"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":[0.0008263509,0.0006732705,0.01614294,0.002872801,0.002955828,0.0001810466,0.2752064,0.02063583,0.00533035,0.4824135,0.04871221,0.1440495],"study_design_scores_gemma":[0.001854827,0.0008833273,0.09652141,0.0001851899,0.00005724245,0.00001255178,0.01009088,0.8372876,0.002123392,0.01412747,0.03621409,0.0006420287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3080266,0.0001617295,0.6659652,0.01578035,0.0002337842,0.001616444,0.00004042463,0.0007095242,0.007465962],"genre_scores_gemma":[0.9989216,0.00003614751,0.0001484474,0.0002442983,0.00002610463,0.000160268,0.00001582753,0.000009207332,0.0004380759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8166518,"threshold_uncertainty_score":0.5962858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08719526540153048,"score_gpt":0.4265177644317891,"score_spread":0.3393224990302586,"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."}}