{"id":"W4226283930","doi":"10.1093/eurheartj/ehac227","title":"The collateral damage of COVID-19 to cardiovascular services: a meta-analysis","year":2022,"lang":"en","type":"review","venue":"European Heart Journal","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University; Population Health Research Institute","funders":"University of Leeds; World Health Organization","keywords":"Medicine; Confidence interval; Observational study; Pandemic; Meta-analysis; Relative risk; Myocardial infarction; MEDLINE; Emergency medicine; Incidence (geometry); Internal medicine; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009338379,0.00049965,0.005514781,0.0008914263,0.0008342492,0.0001789506,0.0006776616,0.00008255187,0.002252465],"category_scores_gemma":[0.0005478718,0.0002838176,0.01266484,0.002146583,0.00005866231,0.00005903598,0.0003817316,0.00146493,0.0001595514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006187086,"about_ca_system_score_gemma":0.002659885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002352666,"about_ca_topic_score_gemma":0.00006662788,"domain_scores_codex":[0.9908942,0.00510121,0.001469912,0.0004963013,0.001448117,0.0005902705],"domain_scores_gemma":[0.9950464,0.0009237251,0.0006260483,0.001594163,0.0001780723,0.001631601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001588358,0.0001333476,0.000125741,0.03590362,0.6847757,0.004846268,0.001918078,0.0004562846,3.991674e-7,0.0000168804,0.02418524,0.2474796],"study_design_scores_gemma":[0.0002025264,0.000215618,0.0000976293,0.0002420227,0.2752548,0.001438255,0.00007090107,0.000001997254,3.553768e-8,0.000001793366,0.7223095,0.0001648339],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001157417,0.9936169,0.00008803598,0.003529429,0.0002650602,0.001039204,0.0001351294,0.00003481387,0.001279791],"genre_scores_gemma":[0.0000462827,0.9896286,0.000231288,0.007859126,0.0006279491,0.00002192869,0.00005288778,0.0001157115,0.001416217],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6981243,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4410889737357948,"score_gpt":0.4863111196286122,"score_spread":0.04522214589281748,"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."}}