{"id":"W3202664763","doi":"10.2196/33576","title":"Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Receiver operating characteristic; Population; Environmental health; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001180628,0.0003296878,0.000773313,0.0001749366,0.000310573,0.0003270455,0.0001192229,0.0001392748,0.00001401969],"category_scores_gemma":[0.00192151,0.0003259562,0.000117552,0.0008362061,0.0001743263,0.000390396,0.0001337976,0.0003951357,0.00002771948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003306197,"about_ca_system_score_gemma":0.001400715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002181203,"about_ca_topic_score_gemma":0.002009031,"domain_scores_codex":[0.9964198,0.0004416775,0.0007035968,0.0009005463,0.000575229,0.0009591092],"domain_scores_gemma":[0.9974387,0.0004254061,0.0002350024,0.0007224264,0.0004291259,0.0007493382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004607684,0.001710556,0.9638257,0.0002481042,0.00006282375,0.000116665,0.001301047,5.799783e-7,0.00006662538,0.000005091842,0.006096721,0.02652003],"study_design_scores_gemma":[0.001888883,0.001674584,0.8616435,0.00003530397,0.000001814218,0.00002919306,0.0009884252,0.0001661718,0.00006281916,0.000007051621,0.1331786,0.0003236914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754873,0.0008157297,0.0001500027,0.02128242,0.0004859506,0.001173479,0.000034963,0.0003527429,0.0002174124],"genre_scores_gemma":[0.9910741,0.0001411107,0.00002348642,0.0079097,0.0002688284,0.0002814776,0.00006484805,0.00005804551,0.0001784113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270818,"threshold_uncertainty_score":0.9999192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06043223566094218,"score_gpt":0.3603727409480995,"score_spread":0.2999405052871573,"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."}}