{"id":"W4413190692","doi":"10.1145/3760535.3760543","title":"Lessons Learned From FeverPhone: Towards Scalable, Accessible At-Home Diagnostics via Fever Detection on Unmodified Smartphones","year":2025,"lang":"en","type":"article","venue":"GetMobile Mobile Computing and Communications","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Scalability; Computer science; Human–computer interaction; Embedded system; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002274456,0.0003333813,0.0003645072,0.0002173939,0.0009639523,0.0001794783,0.0008133206,0.0001984231,0.00002461035],"category_scores_gemma":[0.00009844191,0.0003697265,0.00009761892,0.0006963466,0.0001644459,0.0001523622,0.0009709974,0.0005458122,0.0000903773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003284908,"about_ca_system_score_gemma":0.00004691746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004616628,"about_ca_topic_score_gemma":0.0002021527,"domain_scores_codex":[0.9983653,0.0001565614,0.0004434253,0.0004310902,0.0001888307,0.0004148248],"domain_scores_gemma":[0.996805,0.001284861,0.00009194025,0.001574738,0.0001168079,0.0001267285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004468548,0.0004365146,0.01610204,0.0002020363,0.0003597061,0.00000691069,0.001391639,0.07002176,0.096936,0.0003447844,0.001405087,0.8127488],"study_design_scores_gemma":[0.005161097,0.0004509242,0.2078818,0.002605256,0.0005384707,0.00002680583,0.002336634,0.2624853,0.4472183,0.01637724,0.05132988,0.003588344],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346945,0.005761654,0.05150724,0.0003169725,0.001500464,0.0007051249,0.00007656774,0.001088589,0.00434883],"genre_scores_gemma":[0.9938051,0.003119535,0.002211474,0.00007563066,0.0001248372,0.0003081565,0.00008648451,0.00005756781,0.0002112554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8091605,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188634268020865,"score_gpt":0.2927401369517668,"score_spread":0.2608537942715581,"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."}}