{"id":"W3157589576","doi":"10.2196/27271","title":"Personalized Analytics and a Wearable Biosensor Platform for Early Detection of COVID-19 Decompensation (DeCODe): Protocol for the Development of the COVID-19 Decompensation Index","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Computer science; Analytics; Data collection; Digital health; Usability; Wearable computer; Protocol (science); Health care; Data science; Medicine; Human–computer interaction; Embedded system","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":[0.0319639,0.001936642,0.001658358,0.002253175,0.003998658,0.002673421,0.002557774,0.004028711,0.03769099],"category_scores_gemma":[0.0328886,0.001310345,0.002390385,0.001462848,0.003172108,0.001987801,0.003206777,0.004953912,0.01682917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003798461,"about_ca_system_score_gemma":0.01671702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003222006,"about_ca_topic_score_gemma":0.005276514,"domain_scores_codex":[0.9803717,0.0112331,0.002715411,0.001725544,0.002883139,0.001071013],"domain_scores_gemma":[0.9753846,0.00554833,0.002139342,0.004444892,0.01070783,0.00177491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04882708,0.01245427,0.01510065,0.02202896,0.000663486,0.003233018,0.006668465,0.005689704,0.07604572,0.04424495,0.4013312,0.3637126],"study_design_scores_gemma":[0.01307157,0.02000699,0.01731021,0.01066306,0.0005098326,0.001496561,0.002527526,0.00367707,0.04271751,0.009855666,0.8777608,0.0004032277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01050271,0.001273708,0.07467166,0.004211251,0.001549066,0.8714564,0.01598134,0.001109619,0.01924413],"genre_scores_gemma":[0.009852191,0.001131846,0.04427662,0.001992793,0.000216171,0.9322537,0.004426469,0.00009887332,0.005751351],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03769099,"threshold_uncertainty_score":0.1690433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3590197684636164,"score_gpt":0.5540070730881552,"score_spread":0.1949873046245388,"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."}}