{"id":"W3091047733","doi":"","title":"Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Rapid innovation to deliver extended COVID-19 surveillance and trial platforms.","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health informatics; Informatics; Medicine; Public health; Virology; Engineering; Nursing; Outbreak; Infectious disease (medical specialty)","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":[0.04302682,0.0009049027,0.001475798,0.003119273,0.001095341,0.008376844,0.002212634,0.004326998,0.1453783],"category_scores_gemma":[0.1109081,0.001600298,0.001174596,0.002091983,0.00191252,0.00464274,0.009069262,0.0072838,0.05522244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003329274,"about_ca_system_score_gemma":0.01838961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007760445,"about_ca_topic_score_gemma":0.01464587,"domain_scores_codex":[0.9745195,0.01089951,0.003024035,0.002555569,0.007463901,0.001537462],"domain_scores_gemma":[0.8315372,0.05603724,0.009661613,0.02048328,0.02832974,0.05395099],"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":[0.0005096344,0.00008778631,0.001567026,0.0009660925,0.0000688764,0.0002495477,0.0006201419,0.0001903506,0.001006893,0.005935015,0.7121802,0.2766184],"study_design_scores_gemma":[0.0002174338,0.0001867812,0.00379281,0.001142525,0.0000315854,0.0001820812,0.000280689,0.000275608,0.0003651369,0.003042277,0.9904326,0.00005046722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007772004,0.04818552,0.08661029,0.4347153,0.02890141,0.003210206,0.02949844,0.02580863,0.3352982],"genre_scores_gemma":[0.1143783,0.05573051,0.2345281,0.1420249,0.01865057,0.00508281,0.03496806,0.009520311,0.3851165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1453783,"threshold_uncertainty_score":0.4863389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2223850984289103,"score_gpt":0.4789438805297842,"score_spread":0.2565587821008739,"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."}}