{"id":"W4293765834","doi":"10.1093/jncics/pkac062","title":"The Changing Face of Cancer Surgery During Multiple Waves of COVID-19","year":2022,"lang":"en","type":"article","venue":"JNCI Cancer Spectrum","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Health Sciences Centre; Toronto East General Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Cancer; Pandemic; Anticipation (artificial intelligence); Cancer surgery; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); General surgery; Surgery; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001009731,0.0001873433,0.0003050039,0.0009582,0.001117686,0.00177577,0.0006061222,0.0004843236,0.003263986],"category_scores_gemma":[0.006496414,0.0002002883,0.0003869617,0.002266264,0.0008232194,0.000917424,0.001725941,0.001195987,0.0002650117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007839886,"about_ca_system_score_gemma":0.009594982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8268407,"about_ca_topic_score_gemma":0.9068059,"domain_scores_codex":[0.9986602,0.0001707676,0.00005241872,0.0001322718,0.00023388,0.0007504257],"domain_scores_gemma":[0.9973873,0.0003625291,0.001134942,0.0001025292,0.0004836746,0.0005289644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007533971,0.00002373832,0.9868789,0.00004130441,0.00004936669,0.0001493419,0.001447438,0.0004613088,0.000124931,0.0004682522,0.003478111,0.006802097],"study_design_scores_gemma":[0.000003114518,0.00001596163,0.9928139,0.00005828185,0.00001143377,0.00004774082,0.00397333,0.0004140215,0.00003728908,0.000134792,0.002478868,0.00001122698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760613,0.000702498,0.0003319505,0.007290243,0.00007350599,0.00005104189,0.007427426,0.00001497748,0.008046909],"genre_scores_gemma":[0.9960564,0.0004988914,0.0001760587,0.0005390568,0.00003855183,0.0000179483,0.001757664,0.000007114003,0.0009083243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8268407,"threshold_uncertainty_score":0.3483581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06135131086315749,"score_gpt":0.3845577199814631,"score_spread":0.3232064091183056,"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."}}