{"id":"W4312155451","doi":"10.1055/s-0042-1759842","title":"Emerging Health Disparities during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Avicenna Journal of Medicine","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Pandemic; Health equity; Coronavirus disease 2019 (COVID-19); Medicine; Public health; Health promotion; 2019-20 coronavirus outbreak; Global health; Equity (law); Social determinants of health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health policy; Public relations; Economic growth; Environmental health; Disease; Infectious disease (medical specialty); Political science; Virology; Nursing; Economics","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":[0.003226627,0.0001133536,0.0003281691,0.0006778555,0.003085474,0.002067736,0.0003964764,0.001234584,0.004182446],"category_scores_gemma":[0.006092472,0.0001121365,0.0002783508,0.0009405535,0.001480588,0.002538871,0.003424032,0.002236166,0.0001904841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003897539,"about_ca_system_score_gemma":0.004512007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03834953,"about_ca_topic_score_gemma":0.0798742,"domain_scores_codex":[0.9980895,0.0007882817,0.00006090007,0.000138145,0.0002266079,0.0006965122],"domain_scores_gemma":[0.9984431,0.0004157189,0.000314458,0.00003312672,0.0001797271,0.0006139228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002559506,0.0006019783,0.3813109,0.0006679318,0.0001472121,0.0010971,0.1513455,0.0004415606,0.0007159554,0.05914419,0.07700886,0.3272628],"study_design_scores_gemma":[0.00004199937,0.0002324872,0.6874624,0.002436907,0.00009290018,0.0008133839,0.1996963,0.0006966217,0.0002328366,0.03379438,0.07441927,0.00008044334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7378483,0.01553782,0.0003572654,0.2230216,0.000963171,0.0000393322,0.0003878149,0.00001233719,0.02183229],"genre_scores_gemma":[0.9774348,0.009022674,0.0002142149,0.01143512,0.0005357231,0.00002660737,0.0001253135,0.000008061313,0.001197441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03834953,"threshold_uncertainty_score":0.07625264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09681711185280915,"score_gpt":0.456495730622655,"score_spread":0.3596786187698458,"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."}}