{"id":"W4293101473","doi":"10.2196/35426","title":"Feasibility of At-Home Serial Testing Using Over-the-Counter SARS-CoV-2 Tests With a Digital Smartphone App for Assistance: Longitudinal Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Test (biology); Usability; Descriptive statistics; Family medicine; 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":[0.002982662,0.0002434523,0.0005179737,0.0003180499,0.001177361,0.0001215201,0.0002573733,0.00005152852,0.00002539739],"category_scores_gemma":[0.0009559884,0.0001776037,0.000121116,0.001649574,0.0004004007,0.0004274879,0.0005029844,0.0007857208,0.000006909812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232883,"about_ca_system_score_gemma":0.0004038197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000176019,"about_ca_topic_score_gemma":0.0001217863,"domain_scores_codex":[0.9961966,0.0002756641,0.0005966662,0.0005115481,0.001752881,0.0006666207],"domain_scores_gemma":[0.9967758,0.001244899,0.0002982437,0.0005542352,0.001066918,0.0000598882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003928995,0.001242827,0.9041304,0.000237432,0.0001803694,0.00003586669,0.002828202,0.000008471794,0.08649708,0.000007532599,0.0003423793,0.0005604568],"study_design_scores_gemma":[0.007146882,0.006032029,0.9485577,0.0001695635,0.00006664488,0.0003992391,0.004743468,0.005253269,0.02694687,0.0001308699,0.0002661872,0.0002872233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940767,0.00002571832,0.0001946935,0.00003308722,0.0001498151,0.004242379,0.0001392861,0.00008819573,0.001050113],"genre_scores_gemma":[0.9985225,1.304022e-7,0.0002817608,0.00004982137,0.0001355795,0.0008860598,0.00001725214,0.00004699359,0.00005990485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05955021,"threshold_uncertainty_score":0.9055429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1734352531572173,"score_gpt":0.4403347629535976,"score_spread":0.2668995097963803,"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."}}