{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005251263,0.0001405869,0.0004288409,0.0002462904,0.0004502646,0.000007027115,0.0001428304,0.00003824503,0.0007122772],"category_scores_gemma":[0.0004044321,0.0001111754,0.0001692339,0.000621129,0.0000883879,0.0000418454,0.0001533066,0.0002745011,0.000001067804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285195,"about_ca_system_score_gemma":0.002603098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02749979,"about_ca_topic_score_gemma":0.007759778,"domain_scores_codex":[0.9982481,0.00007321741,0.000404224,0.0002358946,0.0005130547,0.0005255314],"domain_scores_gemma":[0.9984525,0.0005784088,0.0003070293,0.000373462,0.00004677323,0.0002417734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002107356,0.0001503689,0.9509464,0.00308873,0.0002984827,0.00008769039,0.01457183,0.002723706,0.01166889,0.0003039763,0.005228337,0.008824252],"study_design_scores_gemma":[0.003360439,0.0003175484,0.7416189,0.0004418693,0.0001999548,0.00006005513,0.008879623,0.00140729,0.09928095,0.0002673738,0.1436867,0.0004793685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426485,0.01030665,0.00003471531,0.04546084,0.000823107,0.000434504,0.0001654852,0.00004791343,0.00007833258],"genre_scores_gemma":[0.9936916,0.002655865,0.000007306428,0.001977848,0.0003485818,0.0001493907,0.000005848724,0.00002921004,0.00113434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2093275,"threshold_uncertainty_score":0.9789762,"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."}}