{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003246607,0.0003201642,0.0002401579,0.0008927176,0.0009584393,0.0007970906,0.0004970166,0.0006521331,0.001170526],"category_scores_gemma":[0.004126507,0.0002768156,0.0003001421,0.0005517524,0.0005505246,0.000621801,0.001629291,0.0004357274,0.0002677147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006041371,"about_ca_system_score_gemma":0.0009912683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006399159,"about_ca_topic_score_gemma":0.008952036,"domain_scores_codex":[0.9978552,0.001232331,0.00008925253,0.0003230637,0.0001792199,0.0003208649],"domain_scores_gemma":[0.9978661,0.0006448057,0.0005307093,0.0002337475,0.0003547167,0.0003699581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000281314,0.0008500947,0.9560083,0.0001148242,0.00005789365,0.0005197,0.02438914,0.0001067099,0.002245954,0.0001178107,0.0004815568,0.01482676],"study_design_scores_gemma":[0.00008234166,0.002917415,0.922878,0.0001474026,0.00006520492,0.0006641743,0.06875299,0.001258954,0.000791376,0.0002274652,0.002173453,0.000041202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989491,0.00004813077,0.0003971962,0.00007220799,0.000003094367,0.0001299405,0.0001237816,0.000002267546,0.0002742799],"genre_scores_gemma":[0.9983755,0.00008708134,0.0007576842,0.00008961113,0.00001140008,0.000286798,0.0001434576,0.000001384142,0.00024695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006399159,"threshold_uncertainty_score":0.01716989,"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."}}