{"id":"W4293569622","doi":"10.1177/10732748221119349","title":"Management of Gynecologic Cancer During COVID-19 Pandemic: South Asian Perspective","year":2022,"lang":"en","type":"article","venue":"Cancer Control","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Pandemic; Coronavirus disease 2019 (COVID-19); Gynecologic cancer; Perspective (graphical); 2019-20 coronavirus outbreak; Cancer; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Family medicine; Virology; Ovarian cancer; Internal medicine; Outbreak; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002723985,0.0001630997,0.0004487587,0.0001516731,0.0002977802,0.000006791881,0.0001419436,0.00005319456,0.003293453],"category_scores_gemma":[0.0001208234,0.0001503364,0.0001346924,0.0002832404,0.00006903421,0.00003471927,0.00008887913,0.0003309774,0.000004386744],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005107378,"about_ca_system_score_gemma":0.001422727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003486621,"about_ca_topic_score_gemma":0.0005832138,"domain_scores_codex":[0.9984506,0.00009808374,0.0002812867,0.0003785658,0.0003696863,0.0004217999],"domain_scores_gemma":[0.9989296,0.00008636591,0.0001923148,0.000292132,0.0001159278,0.0003836587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003894506,0.0002450661,0.9501872,0.002259448,0.001236086,0.0007073162,0.01712532,0.003452645,0.00167174,0.002048103,0.001211667,0.01596091],"study_design_scores_gemma":[0.02443153,0.0008287718,0.8948326,0.0001736931,0.0009068052,0.00005588587,0.03358956,0.0003250143,0.00009831768,0.0006147196,0.04369657,0.0004465031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9103208,0.01499293,0.0005232985,0.06532911,0.000985558,0.003134693,0.0006923027,0.0002525388,0.00376878],"genre_scores_gemma":[0.9859403,0.0005224816,0.00001615618,0.01092848,0.0002065691,0.0009706392,0.000004535063,0.00002375295,0.001387132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07561946,"threshold_uncertainty_score":0.9987118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07139230808289493,"score_gpt":0.4094719928439711,"score_spread":0.3380796847610761,"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."}}