{"id":"W3216377092","doi":"10.2196/28737","title":"COVID-19 Surveillance Updates in US Metropolitan Areas: Dynamic Panel Data Modeling","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Demography; Pandemic; Coronavirus disease 2019 (COVID-19); Geography; Population; Incidence (geometry); Medicine; Environmental health; Mathematics","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":[0.005120687,0.000666492,0.0006643928,0.001291215,0.0003122462,0.001101699,0.001275279,0.0007416292,0.002375003],"category_scores_gemma":[0.008882469,0.000541767,0.001294026,0.002538085,0.0002142688,0.0008951012,0.001068883,0.001262889,0.0005771814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344192,"about_ca_system_score_gemma":0.001019739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1080562,"about_ca_topic_score_gemma":0.079814,"domain_scores_codex":[0.9980983,0.001076941,0.00008141866,0.0004589111,0.000132761,0.0001516291],"domain_scores_gemma":[0.9969559,0.001789319,0.0005417762,0.0002152755,0.0003820567,0.000115609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002234857,0.00023978,0.6089929,0.0001494557,0.0008000713,0.0002011025,0.0002613268,0.3443538,0.0002012717,0.003293872,0.0192466,0.02203636],"study_design_scores_gemma":[0.00004165927,0.0001402762,0.1154952,0.00008195014,0.0001581046,0.0000848988,0.000402616,0.8727826,0.0001661014,0.002244773,0.00836015,0.0000416884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8517472,0.001610648,0.05418902,0.003789243,0.000229382,0.00046803,0.07829086,0.0006881497,0.008987607],"genre_scores_gemma":[0.9413636,0.0007176033,0.01731234,0.0002748813,0.00009243751,0.000425155,0.0370598,0.00005335224,0.00270073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1080562,"threshold_uncertainty_score":0.2148545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3451648525973715,"score_gpt":0.4636768142639008,"score_spread":0.1185119616665294,"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."}}