{"id":"W4211014606","doi":"10.2196/34392","title":"Cancer Screening Recommendations During the COVID-19 Pandemic: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Medicine; Triage; Cancer screening; Pandemic; Cancer; MEDLINE; Risk assessment; Health care; Family medicine; Cervical cancer; Disease; Coronavirus disease 2019 (COVID-19); Medical emergency; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005736742,0.0001411418,0.0003136894,0.00008534305,0.0009906399,0.00001729332,0.000156479,0.00003413693,0.01065309],"category_scores_gemma":[0.000245969,0.0001082155,0.0001096552,0.0005133448,0.00003975259,0.00007637495,0.0001629092,0.0005460407,0.000007366818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672932,"about_ca_system_score_gemma":0.002402614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00494162,"about_ca_topic_score_gemma":0.003562352,"domain_scores_codex":[0.9984552,0.0001604546,0.0003482383,0.0002945889,0.0003687808,0.0003727651],"domain_scores_gemma":[0.9988581,0.0002166443,0.0001776924,0.0003647179,0.00006629576,0.0003165566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005025971,0.0001253186,0.5263879,0.04251657,0.0002550952,0.00007818262,0.004444321,0.001010262,0.000857633,0.00007623887,0.2615446,0.1622013],"study_design_scores_gemma":[0.001369477,0.00007228754,0.02824027,0.01635697,0.0001222416,0.0001301554,0.0003130628,0.00005497158,0.00001971465,0.00001515191,0.9530813,0.0002243946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04267882,0.2284803,0.0002718094,0.7207527,0.0009555941,0.005666142,0.0002875698,0.0003653153,0.0005417489],"genre_scores_gemma":[0.2701622,0.1976682,0.0001469694,0.5134612,0.00141119,0.01160133,0.0000831492,0.00009037821,0.005375325],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6915367,"threshold_uncertainty_score":0.9902513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2525867539934066,"score_gpt":0.5337929579682196,"score_spread":0.2812062039748129,"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."}}