{"id":"W3186300414","doi":"10.2196/29923","title":"Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Agreeableness; Psychology; Exploratory factor analysis; Contact tracing; Government (linguistics); Prosocial behavior; Logistic regression; Social psychology; Personality; Big Five personality traits; Coronavirus disease 2019 (COVID-19); Clinical psychology; Medicine; Extraversion and introversion; Psychometrics","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":[0.001445572,0.0002673044,0.0002467442,0.0009163181,0.0007491722,0.0009724263,0.0003662219,0.0004161228,0.001023096],"category_scores_gemma":[0.003455339,0.0003589681,0.0005315626,0.001068293,0.0005233385,0.0008000215,0.001246112,0.0005845872,0.000191384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006684131,"about_ca_system_score_gemma":0.0006462289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02595152,"about_ca_topic_score_gemma":0.02989702,"domain_scores_codex":[0.9992447,0.00022426,0.0001157661,0.0001426517,0.0001223548,0.0001503465],"domain_scores_gemma":[0.9972193,0.0004353515,0.001157605,0.000203729,0.0004433833,0.0005405093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000287899,0.00005736891,0.9939362,0.00001965282,0.00003292537,0.00008121302,0.004099875,0.00001288323,0.0001380065,0.00001047601,0.00007043964,0.001512226],"study_design_scores_gemma":[0.00000128233,0.00003988815,0.9958863,0.00000709223,0.00001388345,0.00004946297,0.003770634,0.00008005994,0.00002479604,0.000006549315,0.0001147576,0.000005262367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996866,0.00004562634,0.00003262898,0.00002176205,0.000001483007,0.000007697427,0.00005961179,8.321786e-7,0.0001438175],"genre_scores_gemma":[0.9996171,0.00007147511,0.00006183938,0.00002604356,0.000002226403,0.00001664116,0.00008793702,0.000001519167,0.0001151533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02595152,"threshold_uncertainty_score":0.05160087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146745988964272,"score_gpt":0.3895483039257005,"score_spread":0.2748737050292733,"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."}}