{"id":"W3160184330","doi":"10.1016/s2589-7500(21)00064-9","title":"The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections","year":2021,"lang":"en","type":"article","venue":"The Lancet Digital Health","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Intensive care medicine; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008251375,0.0001022902,0.0004058491,0.0000644812,0.0002419499,0.00006083996,0.0001074454,0.00003926408,0.000001004496],"category_scores_gemma":[0.0008224983,0.00005293399,0.00004306772,0.0004832172,0.0004451654,0.00008166713,0.0001167526,0.000232526,1.941227e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008071163,"about_ca_system_score_gemma":0.0006457125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009340891,"about_ca_topic_score_gemma":0.0006254271,"domain_scores_codex":[0.9988921,0.000125326,0.00030711,0.0001728364,0.0002203655,0.0002822136],"domain_scores_gemma":[0.9980115,0.001417562,0.0001785725,0.0002885225,0.00007136678,0.00003248582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005492629,0.0004461183,0.7092193,0.001161317,0.00005371911,0.000005560229,0.004851672,0.000007803299,0.00001754409,0.001006662,0.004187915,0.2789874],"study_design_scores_gemma":[0.002589082,0.00180991,0.8907996,0.0037657,0.00008611209,0.0003971358,0.02108789,0.001122,0.0009707711,0.003461817,0.07364533,0.0002646466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6843726,0.01361357,0.0000103647,0.3014534,0.00002680001,0.0004038646,0.00005582092,0.00003133788,0.00003222185],"genre_scores_gemma":[0.9813282,0.01275041,0.0001027898,0.005710864,0.00003646706,0.00005187802,0.000004505999,0.000009635831,0.000005286616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2969555,"threshold_uncertainty_score":0.2158586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07671019762634311,"score_gpt":0.3812807336196797,"score_spread":0.3045705359933366,"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."}}