{"id":"W3110477889","doi":"10.2196/25572","title":"Peer Review of “Predicting Health Disparities in Regions at Risk of Severe Illness to Inform Health Care Resource Allocation During Pandemics: Observational Study”","year":2020,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Pandemic; Health care; Coronavirus disease 2019 (COVID-19); Resource allocation; Environmental health; Medicine; Economic growth; Disease; Computer science; Economics; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04769009,0.0007401127,0.001698861,0.005036477,0.005588976,0.005900573,0.003048073,0.003576056,0.08681384],"category_scores_gemma":[0.4374202,0.0005919797,0.001886388,0.003591373,0.002432054,0.003388266,0.003994757,0.002982615,0.02848525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002948586,"about_ca_system_score_gemma":0.02072766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104896,"about_ca_topic_score_gemma":0.01285641,"domain_scores_codex":[0.954417,0.01631537,0.00672787,0.002565356,0.01834092,0.001633468],"domain_scores_gemma":[0.4809479,0.05521159,0.01536911,0.02576776,0.4123615,0.0103421],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001755203,0.00005624418,0.005713834,0.001356437,0.000154328,0.0001291368,0.0003109354,0.00005290246,0.0001676844,0.0009641272,0.9531904,0.03772844],"study_design_scores_gemma":[0.000419967,0.0001307411,0.02144157,0.006180414,0.0002527714,0.0003344685,0.001145425,0.001140466,0.001141373,0.003146012,0.9645627,0.0001039842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.030638,0.01009192,0.01195001,0.3943885,0.3746918,0.01123212,0.04407571,0.001924462,0.1210074],"genre_scores_gemma":[0.3369837,0.02364572,0.02762451,0.1393414,0.155832,0.0114058,0.05560916,0.00445366,0.2451041],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9523099,"threshold_uncertainty_score":0.2904212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115378527283818,"score_gpt":0.4009813917553238,"score_spread":0.289443539026942,"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."}}