{"id":"W3082719353","doi":"10.22541/au.158742091.17593008","title":"Considerations for Head and Neck Oncology Practices During the Coronavirus Disease 2019 (COVID-19) Pandemic: The Wuhan and Toronto Experience","year":2020,"lang":"en","type":"dataset","venue":"Authorea","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Operationalization; Head and neck cancer; Head and neck; Health care; Disease; Intensive care medicine; Medical emergency; Cancer; Internal medicine; Infectious disease (medical specialty); Surgery; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0004255831,0.000283911,0.0004624818,0.00003133698,0.0008610674,0.0001162828,0.0001495423,0.0002420207,0.0001296239],"category_scores_gemma":[0.009351534,0.0001678447,0.0000695029,0.00005460397,0.0003512811,0.0001722443,0.0001820625,0.0004805009,0.000009042717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004425949,"about_ca_system_score_gemma":0.002503511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02354886,"about_ca_topic_score_gemma":0.05433299,"domain_scores_codex":[0.998271,0.000230254,0.0003651254,0.0005357424,0.0002380421,0.0003598183],"domain_scores_gemma":[0.9940619,0.003862386,0.0004544419,0.0005925532,0.00007928961,0.0009494297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001169178,0.00007359402,0.005425844,0.001249688,0.00008592061,0.0001451413,0.005112763,6.170687e-7,0.00004083299,0.0001011266,0.9849175,0.001677789],"study_design_scores_gemma":[0.001215692,0.0004491324,0.03387275,0.0001007502,0.0003823464,0.0003149159,0.001432003,0.00002887583,0.000001657922,0.0002223359,0.9618018,0.0001776977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02146941,0.01344029,0.00001748999,0.1097289,0.0004638105,0.00328043,0.8514968,0.00007841391,0.00002445982],"genre_scores_gemma":[0.2278274,0.0403732,0.0003569559,0.1597671,0.003090543,0.00192178,0.5659005,0.0001120617,0.0006504978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2855963,"threshold_uncertainty_score":0.9989931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3267718079621308,"score_gpt":0.5300926468209943,"score_spread":0.2033208388588635,"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."}}