{"id":"W4220761027","doi":"10.1038/d41586-022-00792-2","title":"Lessons from the COVID data wizards","year":2022,"lang":"en","type":"article","venue":"Nature","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Data science; 2019-20 coronavirus outbreak; Computer science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); World Wide Web; Medicine; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03576863,0.001324243,0.0006936028,0.002335634,0.003452129,0.01515763,0.006066405,0.007160781,0.02512126],"category_scores_gemma":[0.1022916,0.001379449,0.001520866,0.003244841,0.004376388,0.02993095,0.008438777,0.01340725,0.01552414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004069679,"about_ca_system_score_gemma":0.008401132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03900445,"about_ca_topic_score_gemma":0.03995107,"domain_scores_codex":[0.9830244,0.006098502,0.001309895,0.001641314,0.006663087,0.001262868],"domain_scores_gemma":[0.9244539,0.0317414,0.001668149,0.01482289,0.01967874,0.007635029],"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":[0.000199664,0.00014255,0.004169475,0.0002603824,0.00003686484,0.0004438171,0.001873429,0.00200586,0.000457864,0.06720642,0.8273103,0.09589336],"study_design_scores_gemma":[0.00004873863,0.0000521654,0.0006852067,0.0003373759,0.00001594542,0.0002377381,0.001121684,0.001634136,0.0006053529,0.01953598,0.9756699,0.00005582484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01358515,0.007020864,0.05044916,0.7884656,0.01202425,0.0002254383,0.008647629,0.01360261,0.1059793],"genre_scores_gemma":[0.2695112,0.02270302,0.2723559,0.1819926,0.008878049,0.001060087,0.03433308,0.02246357,0.1867025],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03900445,"threshold_uncertainty_score":0.1891648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04642288869653496,"score_gpt":0.3623665615561117,"score_spread":0.3159436728595768,"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."}}