{"id":"W3033019889","doi":"10.2196/19606","title":"Distribution of Patients at Risk for Complications Related to COVID-19 in the United States: Model Development Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacy; Medicine; Coronavirus disease 2019 (COVID-19); Medical prescription; Intensive care unit; Risk assessment; Emergency medicine; Disease; Intensive care medicine; Demography; Pediatrics; Family medicine; Internal medicine; 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":[0.008656195,0.001563355,0.001403793,0.001711491,0.0006061681,0.001520357,0.002396311,0.001322947,0.004415382],"category_scores_gemma":[0.01496679,0.0007230414,0.002791435,0.001210566,0.000575032,0.0008617506,0.001458182,0.002312396,0.000476851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00266038,"about_ca_system_score_gemma":0.003101648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06375135,"about_ca_topic_score_gemma":0.02992743,"domain_scores_codex":[0.9979308,0.001433757,0.00006963794,0.0002750345,0.00008256788,0.0002082506],"domain_scores_gemma":[0.9795061,0.01725935,0.001018155,0.0005018491,0.00125483,0.0004595655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001286234,0.0009313159,0.1946796,0.000165515,0.001135785,0.0003709971,0.0002130295,0.7848693,0.000150952,0.001990329,0.004396006,0.009810945],"study_design_scores_gemma":[0.0001561593,0.0002209791,0.008189811,0.00002939091,0.0001449306,0.00008004997,0.00009849001,0.9898023,0.00006883978,0.0008192572,0.0003721315,0.00001772489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735216,0.0004506156,0.01789805,0.001173174,0.000052374,0.0003515907,0.004396907,0.0002632432,0.001892492],"genre_scores_gemma":[0.9796809,0.0003395113,0.01134166,0.0002561605,0.00002664777,0.0005360076,0.005676189,0.0000477206,0.002095171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06375135,"threshold_uncertainty_score":0.1267605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1425770103087208,"score_gpt":0.4599210769643509,"score_spread":0.3173440666556301,"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."}}