{"id":"W3091660119","doi":"10.2196/21697","title":"The Impact of COVID-19 on Cancer Screening: Challenges and Opportunities","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Cancer; Health care; Cancer screening; Family medicine; Environmental health; Intensive care medicine; Medical emergency; Disease; Pathology; Economic growth; 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":[0.02105785,0.0006284111,0.0006409898,0.002321011,0.004575486,0.009124547,0.002029601,0.003622551,0.01677379],"category_scores_gemma":[0.04493657,0.0003601949,0.001544294,0.002348595,0.005030834,0.006123132,0.01183761,0.008187712,0.00163416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008865002,"about_ca_system_score_gemma":0.02270184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03165645,"about_ca_topic_score_gemma":0.05657966,"domain_scores_codex":[0.9796036,0.009958972,0.001224365,0.000762253,0.004528966,0.003921834],"domain_scores_gemma":[0.9539115,0.02086578,0.004756535,0.001320037,0.00723402,0.01191208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002152783,0.0004468765,0.05794716,0.003554263,0.0002430583,0.002050228,0.008056351,0.001567152,0.0008328572,0.1393958,0.3429337,0.4427573],"study_design_scores_gemma":[0.00003856846,0.0005470939,0.03930931,0.01284503,0.0001617317,0.001950523,0.02963508,0.00112506,0.0007937018,0.0509063,0.8624633,0.0002242596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0169893,0.0654919,0.001999997,0.8349864,0.005130637,0.0001012531,0.0007060223,0.00009572488,0.07449879],"genre_scores_gemma":[0.4352725,0.2093012,0.01128621,0.3184486,0.01447362,0.000296778,0.001360738,0.0001731083,0.009387325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03165645,"threshold_uncertainty_score":0.1113659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4134094160050322,"score_gpt":0.4994396232305053,"score_spread":0.08603020722547311,"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."}}