{"id":"W3157425035","doi":"10.1007/s10900-021-00991-4","title":"COVID-19 Trends in the Phoenix Metropolitan Area from a Mobile Testing Program: Last Quarter of 2020","year":2021,"lang":"en","type":"article","venue":"Journal of Community Health","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"City of Phoenix","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Medicine; Metropolitan area; Public health; Phoenix; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Quarter (Canadian coin); Demography; Virology; Geography; Outbreak; Internal medicine; Infectious disease (medical specialty); Disease","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":[0.001802561,0.00007397816,0.0003685089,0.0001721632,0.0001726546,0.00001749905,0.0001063358,0.0000421608,0.0001754293],"category_scores_gemma":[0.000839844,0.00005080289,0.0001260594,0.0006190492,0.00003934729,0.00007270895,0.00001990356,0.0008710777,7.382473e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940492,"about_ca_system_score_gemma":0.0008576894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004298256,"about_ca_topic_score_gemma":0.004886579,"domain_scores_codex":[0.9977537,0.001187776,0.0006128293,0.00003995934,0.0002621954,0.0001435113],"domain_scores_gemma":[0.9979601,0.0007751334,0.000529662,0.0002602595,0.0002887028,0.0001861437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009187382,0.007327334,0.6239763,0.0005743451,0.0002806947,0.0001479307,0.0346096,0.0002710823,0.001241896,0.0001829538,0.01563953,0.3148295],"study_design_scores_gemma":[0.006925427,0.006931249,0.8986292,0.0004655311,0.0001491832,0.001009986,0.05027197,0.001410704,0.0001313942,0.0008585813,0.03309722,0.0001195416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854169,0.0006315353,0.0007559647,0.01054987,0.0001242694,0.0001714355,0.00001356897,0.00001263008,0.00232379],"genre_scores_gemma":[0.9956396,0.0000345378,0.001003108,0.00311495,0.0001471344,0.000005838109,0.00002941026,0.000005731728,0.00001966356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.31471,"threshold_uncertainty_score":0.6497706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07750303442897648,"score_gpt":0.4043525447592439,"score_spread":0.3268495103302674,"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."}}