{"id":"W3032774725","doi":"10.1007/s00520-020-05544-4","title":"Cancer survivorship care during COVID-19—perspectives and recommendations from the MASCC survivorship study group","year":2020,"lang":"en","type":"editorial","venue":"Supportive Care in Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto; University of Calgary","funders":"","keywords":"Survivorship curve; Medicine; Pandemic; Nursing research; Attendance; Pain medicine; Cancer; Family medicine; Health care; Cancer survivorship; Coronavirus disease 2019 (COVID-19); Nursing; Disease; Psychiatry; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03365661,0.002584185,0.004454599,0.003824378,0.005085255,0.01285907,0.005292102,0.02515556,0.008497853],"category_scores_gemma":[0.07753631,0.001439862,0.003725848,0.003442822,0.003540409,0.006935505,0.003459114,0.03310975,0.005440527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007127122,"about_ca_system_score_gemma":0.01462418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01226134,"about_ca_topic_score_gemma":0.03076308,"domain_scores_codex":[0.9858693,0.004282083,0.00263635,0.0009470117,0.005340518,0.0009246914],"domain_scores_gemma":[0.8918898,0.06710447,0.005069457,0.001191326,0.02514296,0.00960204],"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":[0.00004341575,0.0000148945,0.00006349727,0.0004959417,0.00003279778,0.00005392871,0.00004110403,0.00001371654,0.00001132735,0.0002763939,0.9925994,0.00635361],"study_design_scores_gemma":[0.0002243663,0.00006935506,0.001252356,0.005256961,0.0002518181,0.0001362075,0.0003433313,0.0001014182,0.00005916495,0.001020867,0.9912218,0.00006225028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003477129,0.01572587,0.00004703654,0.1039147,0.8789504,0.00002855752,0.0001273306,0.00001940766,0.001152105],"genre_scores_gemma":[0.0004987192,0.01911582,0.0001132987,0.05587568,0.9212157,0.00007517666,0.00009244507,0.00002968811,0.00298347],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03365661,"threshold_uncertainty_score":0.1779953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06276837193343587,"score_gpt":0.4324111363890655,"score_spread":0.3696427644556296,"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."}}