{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002045851,0.0005817435,0.001619077,0.0005321617,0.0003990757,0.0000968953,0.001007833,0.0006932823,0.0006345007],"category_scores_gemma":[0.001774388,0.0003140407,0.0007996128,0.001125062,0.0004310563,0.0001543312,0.0001414147,0.006252676,0.000004298607],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713171,"about_ca_system_score_gemma":0.007802685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1203304,"about_ca_topic_score_gemma":0.07120544,"domain_scores_codex":[0.9943215,0.0009997928,0.001659386,0.0002955403,0.001892521,0.00083121],"domain_scores_gemma":[0.992364,0.002786156,0.002740862,0.000725918,0.0007490381,0.0006340402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001642919,0.00003454108,0.6165966,0.008603523,0.001243539,0.0008381284,0.009924324,0.0002305988,0.0005579104,0.000007252946,0.3575728,0.002747774],"study_design_scores_gemma":[0.001936526,0.000304659,0.05807328,0.002804917,0.001397231,0.0005580662,0.001098533,0.00001808643,0.0002323401,0.0001586859,0.9329667,0.0004509688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.19174,0.02359825,0.00004345553,0.781057,0.002740826,0.0005368781,0.0001312893,0.00003693036,0.0001154173],"genre_scores_gemma":[0.3882529,0.007458531,0.000006985245,0.5895805,0.01359155,0.00002996856,0.000008108591,0.0001053315,0.0009661242],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5753939,"threshold_uncertainty_score":0.9999312,"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."}}