{"id":"W3018807143","doi":"10.1007/s11764-020-00884-w","title":"Addressing the needs of cancer survivors during the COVID-19 pandemic","year":2020,"lang":"en","type":"letter","venue":"Journal of Cancer Survivorship","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":139,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"American Thoracic Society; American Diabetes Association","keywords":"Medicine; Pandemic; Psychosocial; Survivorship curve; Cancer survivor; Health care; Cancer; Public health; Population; Cancer survivorship; Family medicine; Coronavirus disease 2019 (COVID-19); Gerontology; Disease; Nursing; Environmental health; Infectious disease (medical specialty); Psychiatry; Economic growth","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":[0.005175547,0.0004834028,0.001053644,0.0005203538,0.01089199,0.005878747,0.001545736,0.04245967,0.01089808],"category_scores_gemma":[0.02611285,0.0006348063,0.001260922,0.0006416267,0.004662511,0.006088705,0.006792463,0.0386957,0.002865655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005370851,"about_ca_system_score_gemma":0.02237524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01672105,"about_ca_topic_score_gemma":0.04277915,"domain_scores_codex":[0.9952736,0.001762169,0.0004265985,0.0002544219,0.0008876505,0.00139548],"domain_scores_gemma":[0.9813343,0.005443549,0.001190705,0.0002924681,0.002040952,0.009698231],"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":[0.00006630687,0.0001094993,0.005025613,0.000179278,0.00002023611,0.004488608,0.003643355,0.00012852,0.0004740124,0.004197577,0.9584739,0.02319306],"study_design_scores_gemma":[0.00007006304,0.0001998653,0.004998089,0.001214357,0.000036204,0.004534371,0.02616734,0.0004387711,0.0002268182,0.01009774,0.9518893,0.0001271146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001482611,0.0006418949,0.00002549825,0.9899936,0.00535993,0.00001038026,0.00001840805,0.000006135813,0.002461459],"genre_scores_gemma":[0.0131215,0.002117635,0.0001879417,0.9625067,0.0167279,0.00005231431,0.00002615624,0.00001808534,0.005241673],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04245967,"threshold_uncertainty_score":0.03896844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2811031026350201,"score_gpt":0.4489088163554528,"score_spread":0.1678057137204327,"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."}}