{"id":"W3017476759","doi":"10.2196/19297","title":"Agile Requirements Engineering and Software Planning for a Digital Health Platform to Engage the Effects of Isolation Caused by Social Distancing: Case Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford","keywords":"Social distance; Agile software development; Usability; Computer science; Social isolation; Digital health; Internet privacy; Health care; Psychology; Medicine; Human–computer interaction; Coronavirus disease 2019 (COVID-19); Software engineering","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":[0.0007040884,0.000156539,0.000337418,0.00005779713,0.0003977449,0.0001083044,0.00008715141,0.00004361468,0.000002775077],"category_scores_gemma":[0.0004708152,0.0001382765,0.00003889874,0.0002282301,0.00002771848,0.0002270994,0.00005203949,0.0001600032,0.000001307971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079039,"about_ca_system_score_gemma":0.0001097761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120731,"about_ca_topic_score_gemma":0.00007159926,"domain_scores_codex":[0.9983266,0.0001160566,0.0005535919,0.000327476,0.0001572986,0.000518979],"domain_scores_gemma":[0.998471,0.0005556208,0.0002313801,0.0001258331,0.00004601068,0.0005701865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000718129,0.002014564,0.3599649,0.01216864,0.0003262262,0.0001333161,0.2789806,0.000007021612,0.00003631094,0.001204295,0.060628,0.283818],"study_design_scores_gemma":[0.03160537,0.06722265,0.5243393,0.001041184,0.0000136929,0.0004553387,0.152358,0.003649303,0.00001495225,0.0002329354,0.2165053,0.002561938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808723,0.0007385086,0.007192991,0.007145162,0.0002897021,0.003222749,0.0004123494,0.00008905122,0.00003716198],"genre_scores_gemma":[0.9975727,0.000001635795,0.00006956107,0.001700508,0.00006069444,0.0004483607,0.00007597937,0.00002589997,0.00004471685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2812561,"threshold_uncertainty_score":0.5638753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0674201938596448,"score_gpt":0.3839665413917382,"score_spread":0.3165463475320934,"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."}}